def tof_to_wavelength_lin_time_zero(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to wavelength incorporating a linear time zero which is a
described as a linear function of the wavelength. The time-of-flight axis
for a C{SOM} must be in units of I{microseconds}. The primary axis of a
C{SO} is assumed to be in units of I{microseconds}. A C{tuple} of C{(tof,
tof_err2)} (assumed to be in units of I{microseconds}) can be converted to
C{(wavelength, wavelength_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword pathlength: The pathlength and its associated error^2
@type pathlength: C{tuple} or C{list} of C{tuple}s
@keyword time_zero_slope: The time zero slope and its associated error^2
@type time_zero_slope: C{tuple}
@keyword time_zero_offset: The time zero offset and its associated error^2
@type time_zero_offset: C{tuple}
@keyword inst_param: The type of parameter requested from an associated
instrument. For this function the acceptable
parameters are I{primary}, I{secondary} and I{total}.
Default is I{primary}.
@type inst_param: C{string}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is I{True} for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}.
@type units: C{string}
@keyword cut_val: Specify a wavelength to cut the spectra at.
@type cut_val: C{float}
@keyword cut_less: A flag that specifies cutting the spectra less than
C{cut_val}. The default is C{True}.
@type cut_less: C{boolean}
@return: Object with a primary axis in time-of-flight converted to
wavelength
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
@raise RuntimeError: A C{SOM} does not contain an instrument and no
pathlength was provided
@raise RuntimeError: No C{SOM} is provided and no pathlength given
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
inst_param = kwargs["inst_param"]
except KeyError:
inst_param = "primary"
try:
pathlength = kwargs["pathlength"]
except KeyError:
pathlength = None
try:
time_zero_slope = kwargs["time_zero_slope"]
except KeyError:
time_zero_slope = None
# Current constants for Time Zero Slope
TIME_ZERO_SLOPE = (float(0.0), float(0.0))
try:
time_zero_offset = kwargs["time_zero_offset"]
except KeyError:
time_zero_offset = None
# Current constants for Time Zero Offset
TIME_ZERO_OFFSET = (float(0.0), float(0.0))
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
cut_val = kwargs["cut_val"]
except KeyError:
cut_val = None
try:
cut_less = kwargs["cut_less"]
except KeyError:
cut_less = True
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Angstroms", axis)
result.setAxisLabel(axis, "wavelength")
result.setYUnits("Counts/A")
result.setYLabel("Intensity")
else:
pass
if pathlength is not None:
p_descr = hlr_utils.get_descr(pathlength)
else:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided")
else:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"information must be provided")
if time_zero_slope is not None:
t_0_slope_descr = hlr_utils.get_descr(time_zero_slope)
else:
if o_descr == "SOM":
try:
t_0_slope = obj.attr_list["Time_zero_slope"][0]
t_0_slope_err2 = obj.attr_list["Time_zero_slope"][1]
except KeyError:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
else:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
if time_zero_offset is not None:
t_0_offset_descr = hlr_utils.get_descr(time_zero_offset)
else:
if o_descr == "SOM":
try:
t_0_offset = obj.attr_list["Time_zero_offset"][0]
t_0_offset_err2 = obj.attr_list["Time_zero_offset"][1]
except KeyError:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
else:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
# iterate through the values
import axis_manip
if lojac or cut_val is not None:
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if pathlength is None:
(pl, pl_err2) = hlr_utils.get_parameter(inst_param, map_so, inst)
else:
pl = hlr_utils.get_value(pathlength, i, p_descr)
pl_err2 = hlr_utils.get_err2(pathlength, i, p_descr)
if time_zero_slope is not None:
t_0_slope = hlr_utils.get_value(time_zero_slope, i,
t_0_slope_descr)
t_0_slope_err2 = hlr_utils.get_err2(time_zero_slope, i,
t_0_slope_descr)
else:
pass
if time_zero_offset is not None:
t_0_offset = hlr_utils.get_value(time_zero_offset, i,
t_0_offset_descr)
t_0_offset_err2 = hlr_utils.get_err2(time_zero_offset, i,
t_0_offset_descr)
else:
pass
value = axis_manip.tof_to_wavelength_lin_time_zero(val, err2,
pl, pl_err2,
t_0_slope,
t_0_slope_err2,
t_0_offset,
t_0_offset_err2)
if cut_val is not None:
index = utils.bisect_helper(value[0], cut_val)
if cut_less:
# Need to cut at this index, so increment by one
index += 1
value[0].__delslice__(0, index)
value[1].__delslice__(0, index)
map_so.y.__delslice__(0, index)
map_so.var_y.__delslice__(0, index)
if lojac:
val.__delslice__(0, index)
err2.__delslice__(0, index)
else:
len_data = len(value[0])
# All axis arrays need starting index adjusted by one since
# they always carry one more bin than the data
value[0].__delslice__(index + 1, len_data)
value[1].__delslice__(index + 1, len_data)
map_so.y.__delslice__(index, len_data)
map_so.var_y.__delslice__(index, len_data)
if lojac:
val.__delslice__(index + 1, len_data)
err2.__delslice__(index + 1, len_data)
if lojac:
counts = utils.linear_order_jacobian(val, value[0],
map_so.y, map_so.var_y)
hlr_utils.result_insert(result, res_descr, counts, map_so,
"all", axis, [value[0]])
else:
hlr_utils.result_insert(result, res_descr, value, map_so,
"x", axis)
return result
def tof_to_wavelength(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to wavelength. The wavelength axis for a C{SOM} must be in
units of I{microseconds}. The primary axis of a C{SO} is assumed to be in
units of I{microseconds}. A C{tuple} of C{(tof, tof_err2)} (assumed to be
in units of I{microseconds}) can be converted to C{(wavelength,
wavelength_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword pathlength: The pathlength and its associated error^2
@type pathlength: C{tuple} or C{list} of C{tuple}s
@keyword inst_param: The type of parameter requested from an associated
instrument. For this function the acceptable
parameters are I{primary}, I{secondary} and I{total}.
Default is I{primary}.
@type inst_param: C{string}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is I{True} for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}.
@type units: C{string}
@return: Object with a primary axis in time-of-flight converted to
wavelength
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
@raise RuntimeError: A C{SOM} does not contain an instrument and no
pathlength was provided
@raise RuntimeError: No C{SOM} is provided and no pathlength given
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
inst_param = kwargs["inst_param"]
except KeyError:
inst_param = "primary"
try:
pathlength = kwargs["pathlength"]
except KeyError:
pathlength = None
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Angstroms", axis)
result.setAxisLabel(axis, "wavelength")
result.setYUnits("Counts/A")
result.setYLabel("Intensity")
else:
pass
if pathlength is not None:
p_descr = hlr_utils.get_descr(pathlength)
else:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided")
else:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"information must be provided")
# iterate through the values
import axis_manip
if lojac:
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if pathlength is None:
(pl, pl_err2) = hlr_utils.get_parameter(inst_param, map_so, inst)
else:
pl = hlr_utils.get_value(pathlength, i, p_descr)
pl_err2 = hlr_utils.get_err2(pathlength, i, p_descr)
value = axis_manip.tof_to_wavelength(val, err2, pl, pl_err2)
if lojac:
y_val = hlr_utils.get_value(obj, i, o_descr, "y")
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
counts = utils.linear_order_jacobian(val, value[0],
y_val, y_err2)
hlr_utils.result_insert(result, res_descr, counts, map_so,
"all", axis, [value[0]])
else:
hlr_utils.result_insert(result, res_descr, value, map_so,
"x", axis)
return result
def wavelength_to_scalar_k(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from wavelength
to scalar k. The wavelength axis for a C{SOM} must be in units of
I{Angstroms}. The primary axis of a C{SO} is assumed to be in units of
I{Angstroms}. A C{tuple} of C{(wavelength, wavelength_err2)} (assumed to
be in units of I{Angstroms}) can be converted to C{(scalar_k,
scalar_k_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}.
@type units: C{string}
@return: Object with a primary axis in wavelength converted to scalar k
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{Angstroms}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % \
o_descr)
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "1/Angstroms", axis)
result.setAxisLabel(axis, "scalar wavevector")
result.setYUnits("Counts/A-1")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
value = axis_manip.wavelength_to_scalar_k(val, err2)
if o_descr != "number":
value1 = axis_manip.reverse_array_cp(value[0])
value2 = axis_manip.reverse_array_cp(value[1])
rev_value = (value1, value2)
else:
rev_value = value
map_so = hlr_utils.get_map_so(obj, None, i)
if map_so is not None:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
else:
pass
hlr_utils.result_insert(result, res_descr, rev_value, map_so, "x",
axis)
return result
def tof_to_ref_scalar_Q(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to reflectometer scalar Q. This means that a single angle
and a single flightpath is used. The time-of-flight axis for a C{SOM} must
be in units of I{microseconds}. The primary axis of a C{SO} is assumed to
be in units of I{microseconds}. A C{tuple} of C{(time-of-flight,
time-of-flight_err2)} (assumed to be in units of I{microseconds}) can be
converted to C{(scalar_Q, scalar_Q_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword polar: The polar angle and its associated error^2
@type polar: C{tuple}
@keyword pathlength: The pathlength and its associated error^2
@type pathlength: C{tuple}
@keyword angle_offset: A constant offset for the polar angle and its
associated error^2. The units of the offset should
be in radians.
@type angle_offset: C{tuple}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}.
@type units: C{string}
@keyword configure: This is the object containing the driver configuration.
This will signal the function to write out the counts
and fractional area to files.
@type configure: C{Configure}
@return: Object with a primary axis in time-of-flight converted to
reflectometer scalar Q
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: A C{SOM} is not passed and no polar angle is provided
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % \
o_descr)
else:
pass
# Setup keyword arguments
polar = kwargs.get("polar")
pathlength = kwargs.get("pathlength")
units = kwargs.get("units", "microseconds")
lojac = kwargs.get("lojac", hlr_utils.check_lojac(obj))
angle_offset = kwargs.get("angle_offset")
config = kwargs.get("configure")
if config is None:
beamdiv_corr = False
else:
beamdiv_corr = config.beamdiv_corr
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "1/Angstroms", axis)
result.setAxisLabel(axis, "scalar wavevector transfer")
result.setYUnits("Counts/A-1")
result.setYLabel("Intensity")
else:
pass
if pathlength is None or polar is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided")
else:
if pathlength is None and polar is None:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"and polar angle information must be "\
+"provided")
elif pathlength is None:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"information must be provided")
elif polar is None:
raise RuntimeError("If no SOM is provided, then polar angle "\
+"information must be provided")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if pathlength is None:
(pl, pl_err2) = obj.attr_list.instrument.get_total_path(obj[0].id,
det_secondary=True)
else:
(pl, pl_err2) = pathlength
if polar is None:
angle = hlr_utils.get_special(obj.attr_list["data-theta"], obj[0])[0]
angle_err2 = 0.0
else:
(angle, angle_err2) = polar
if angle_offset is not None:
angle += angle_offset[0]
angle_err2 += angle_offset[1]
# Need to multiply angle by 2.0 in order to make it be Theta to
# underlying conversion function
angle *= 2.0
angle_err2 *= 4.0
# iterate through the values
import axis_manip
if lojac:
import utils
if beamdiv_corr:
import dr_lib
for i in xrange(hlr_utils.get_length(obj)):
skip_pixel = False
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if beamdiv_corr:
dangle = dr_lib.ref_beamdiv_correct(obj.attr_list, map_so.id,
config.det_spat_res,
config.center_pix)
# We subtract due to the inversion of the z coordinates from the
# mirror reflection of the beam at the sample.
if dangle is not None:
pangle = angle - (2.0 * dangle)
else:
pangle = angle
skip_pixel = True
else:
pangle = angle
value = axis_manip.tof_to_scalar_Q(val, err2, pl, pl_err2, pangle,
angle_err2)
if lojac:
y_val = hlr_utils.get_value(obj, i, o_descr, "y")
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
counts = utils.linear_order_jacobian(val, value[0],
y_val, y_err2)
else:
pass
if o_descr != "number":
value1 = axis_manip.reverse_array_cp(value[0])
value2 = axis_manip.reverse_array_cp(value[1])
rev_value = (value1, value2)
else:
rev_value = value
if map_so is not None:
if not lojac:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
else:
map_so.y = axis_manip.reverse_array_cp(counts[0])
map_so.var_y = axis_manip.reverse_array_cp(counts[1])
else:
pass
if not skip_pixel:
hlr_utils.result_insert(result, res_descr, rev_value, map_so, "x",
axis)
return result
def frequency_to_energy(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from frequency
to energy. The frequency axis for a C{SOM} must be in units of I{THz}.
The primary axis of a C{SO} is assumed to be in units of I{THz}. A C{tuple}
of C{(frequency, frequency_err2)} (assumed to be in units of I{THz}) can be
converted to C{(energy, energy_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{THz}.
@type units: C{string}
@return: Object with primary axis in frequency converted to energy
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{THz}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "THz"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if o_descr == "SOM":
result = hlr_utils.force_units(result, "meV", axis)
result.setAxisLabel(axis, "energy transfer")
result.setYUnits("Counts/meV")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
value = axis_manip.frequency_to_energy(val, err2)
map_so = hlr_utils.get_map_so(obj, None, i)
hlr_utils.result_insert(result, res_descr, value, map_so, "x", axis)
return result
def initial_wavelength_igs_lin_time_zero_to_tof(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
initial_wavelength_igs_lin_time_zero to time-of-flight. The
initial_wavelength_igs_lin_time_zero axis for a C{SOM} must be in units of
I{Angstroms}. The primary axis of a C{SO} is assumed to be in units of
I{Angstroms}. A C{tuple} of C{(initial_wavelength_igs_lin_time_zero,
initial_wavelength_igs_lin_time_zero_err2)} (assumed to be in units of
I{Angstroms}) can be converted to C{(tof, tof_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword lambda_f:The final wavelength and its associated error^2
@type lambda_f: C{tuple}
@keyword time_zero_slope: The time zero slope and its associated error^2
@type time_zero_slope: C{tuple}
@keyword time_zero_offset: The time zero offset and its associated error^2
@type time_zero_offset: C{tuple}
@keyword dist_source_sample: The source to sample distance information and
its associated error^2
@type dist_source_sample: C{tuple} or C{list} of C{tuple}s
@keyword dist_sample_detector: The sample to detector distance information
and its associated error^2
@type dist_sample_detector: C{tuple} or C{list} of C{tuple}s
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}
@type units: C{string}
@return: Object with a primary axis in initial_wavelength_igs converted to
time-of-flight
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{Angstroms}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
lambda_f = kwargs["lambda_f"]
except KeyError:
lambda_f = None
try:
time_zero_slope = kwargs["time_zero_slope"]
except KeyError:
time_zero_slope = None
# Current constants for Time Zero Slope
TIME_ZERO_SLOPE = (float(0.0), float(0.0))
try:
time_zero_offset = kwargs["time_zero_offset"]
except KeyError:
time_zero_offset = None
# Current constants for Time Zero Offset
TIME_ZERO_OFFSET = (float(0.0), float(0.0))
try:
dist_source_sample = kwargs["dist_source_sample"]
except KeyError:
dist_source_sample = None
try:
dist_sample_detector = kwargs["dist_sample_detector"]
except KeyError:
dist_sample_detector = None
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Microseconds", axis)
result.setAxisLabel(axis, "time-of-flight")
result.setYUnits("Counts/uS")
result.setYLabel("Intensity")
else:
pass
# Where to get instrument information
if dist_source_sample is None or dist_sample_detector is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
if dist_source_sample is None and dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample and sample-detector "\
+"distances must be provided.")
elif dist_source_sample is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample distance must be provided.")
elif dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"sample-detector distance must be "\
+"provided.")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if lambda_f is not None:
l_descr = hlr_utils.get_descr(lambda_f)
else:
if o_descr == "SOM":
try:
som_l_f = obj.attr_list["Wavelength_final"]
except KeyError:
raise RuntimeError("Please provide a final wavelength "\
+"parameter either via the function call "\
+"or the SOM")
else:
raise RuntimeError("You need to provide a final wavelength")
if time_zero_slope is not None:
t_0_slope_descr = hlr_utils.get_descr(time_zero_slope)
else:
if o_descr == "SOM":
try:
t_0_slope = obj.attr_list["Time_zero_slope"][0]
t_0_slope_err2 = obj.attr_list["Time_zero_slope"][1]
except KeyError:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
else:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
if time_zero_offset is not None:
t_0_offset_descr = hlr_utils.get_descr(time_zero_offset)
else:
if o_descr == "SOM":
try:
t_0_offset = obj.attr_list["Time_zero_offset"][0]
t_0_offset_err2 = obj.attr_list["Time_zero_offset"][1]
except KeyError:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
else:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
if dist_source_sample is not None:
ls_descr = hlr_utils.get_descr(dist_source_sample)
# Do nothing, go on
else:
pass
if dist_sample_detector is not None:
ld_descr = hlr_utils.get_descr(dist_sample_detector)
# Do nothing, go on
else:
pass
# iterate through the values
len_obj = hlr_utils.get_length(obj)
MNEUT_OVER_H = 1.0 / 0.003956034
MNEUT_OVER_H2 = MNEUT_OVER_H * MNEUT_OVER_H
for i in xrange(len_obj):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if dist_source_sample is None:
(L_s, L_s_err2) = hlr_utils.get_parameter("primary", map_so, inst)
else:
L_s = hlr_utils.get_value(dist_source_sample, i, ls_descr)
L_s_err2 = hlr_utils.get_err2(dist_source_sample, i, ls_descr)
if dist_sample_detector is None:
(L_d, L_d_err2) = hlr_utils.get_parameter("secondary", map_so,
inst)
else:
L_d = hlr_utils.get_value(dist_sample_detector, i, ld_descr)
L_d_err2 = hlr_utils.get_err2(dist_sample_detector, i, ld_descr)
if lambda_f is not None:
l_f = hlr_utils.get_value(lambda_f, i, l_descr)
l_f_err2 = hlr_utils.get_err2(lambda_f, i, l_descr)
else:
l_f_tuple = hlr_utils.get_special(som_l_f, map_so)
l_f = l_f_tuple[0]
l_f_err2 = l_f_tuple[1]
if time_zero_slope is not None:
t_0_slope = hlr_utils.get_value(time_zero_slope, i,
t_0_slope_descr)
t_0_slope_err2 = hlr_utils.get_err2(time_zero_slope, i,
t_0_slope_descr)
else:
pass
if time_zero_offset is not None:
t_0_offset = hlr_utils.get_value(time_zero_offset, i,
t_0_offset_descr)
t_0_offset_err2 = hlr_utils.get_err2(time_zero_offset, i,
t_0_offset_descr)
else:
pass
# Going to violate rules since the current usage is with a single
# number. When an SCL equivalent function arises, this code can be
# fixed.
front_const = MNEUT_OVER_H * L_s + t_0_slope
term2 = MNEUT_OVER_H * l_f * L_d
tof = (front_const * val) + term2 + t_0_offset
front_const2 = front_const * front_const
eterm1 = l_f * l_f * L_d_err2
eterm2 = L_d * L_d * l_f_err2
eterm3 = MNEUT_OVER_H2 * L_s_err2
tof_err2 = (front_const2 * err2) + (val * val) * \
(eterm3 + t_0_slope_err2) + (MNEUT_OVER_H2 * \
(eterm1 + eterm2)) + \
t_0_offset_err2
hlr_utils.result_insert(result, res_descr, (tof, tof_err2), None,
"all")
return result
def frequency_to_energy(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from frequency
to energy. The frequency axis for a C{SOM} must be in units of I{THz}.
The primary axis of a C{SO} is assumed to be in units of I{THz}. A C{tuple}
of C{(frequency, frequency_err2)} (assumed to be in units of I{THz}) can be
converted to C{(energy, energy_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{THz}.
@type units: C{string}
@return: Object with primary axis in frequency converted to energy
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{THz}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "THz"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if o_descr == "SOM":
result = hlr_utils.force_units(result, "meV", axis)
result.setAxisLabel(axis, "energy transfer")
result.setYUnits("Counts/meV")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
value = axis_manip.frequency_to_energy(val, err2)
map_so = hlr_utils.get_map_so(obj, None, i)
hlr_utils.result_insert(result, res_descr, value, map_so, "x", axis)
return result
def dimensionless_mon(obj, min_ext, max_ext, **kwargs):
"""
This function takes monitor spectra and converts them to dimensionless
spectra by dividing each spectrum by the total number of counts within the
range [min_ext, max_ext]. Then, each spectrum is multiplied by the quantity
max_ext - min_ext. The units of min_ext and max_ext are assumed to be the
same as the monitor spectra axis.
@param obj: Object containing monitor spectra
@type obj: C{SOM.SOM} or C{SOM.SO}
@param min_ext: Minimium range and associated error^2 for integrating total
counts.
@type min_ext: C{tuple}
@param max_ext: Maximium range and associated error^2 for integrating total
counts.
@type max_ext: C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}.
@type units: C{string}
@return: Dimensionless monitor spectra
@rtype: C{SOM.SOM} or C{SOM.SO}
"""
# import the helper functions
import hlr_utils
if obj is None:
return obj
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
import array_manip
import dr_lib
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "y")
err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
x_axis = hlr_utils.get_value(obj, i, o_descr, "x", axis)
x_err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
bin_widths = utils.calc_bin_widths(x_axis, x_err2)
# Scale bin contents by bin width
value0 = array_manip.mult_ncerr(val, err2,
bin_widths[0], bin_widths[1])
# Find bin range for extents
min_index = utils.bisect_helper(x_axis, min_ext[0])
max_index = utils.bisect_helper(x_axis, max_ext[0])
# Integrate axis using bin width multiplication
(asum, asum_err2) = dr_lib.integrate_axis_py(map_so, start=min_index,
end=max_index, width=True)
# Get the number of bins in the integration range
num_bins = max_index - min_index + 1
asum /= num_bins
asum_err2 /= (num_bins * num_bins)
# Divide by sum
value1 = array_manip.div_ncerr(value0[0], value0[1], asum, asum_err2)
hlr_utils.result_insert(result, res_descr, value1, map_so, "y")
return result
def calc_substrate_trans(obj, subtrans_coeff, substrate_diam, **kwargs):
"""
This function calculates substrate transmission via the following formula:
T = exp[-(A + B * wavelength) * d] where A is a constant with units of
cm^-1, B is a constant with units of cm^-2 and d is the substrate
diameter in units of cm.
@param obj: The data object that contains the TOF axes to calculate the
transmission from.
@type obj: C{SOM.SOM} or C{SOM.SO}
@param subtrans_coeff: The two coefficients for substrate transmission
calculation.
@type subtrans_coeff: C{tuple} of two C{float}s
@param substrate_diam: The diameter of the substrate.
@type substrate_diam: C{float}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword pathlength: The pathlength and its associated error^2
@type pathlength: C{tuple} or C{list} of C{tuple}s
@keyword units: The expected units for this function. The default for this
function is I{microsecond}.
@type units: C{string}
@return: The calculate transmission for the given substrate parameters
@rtype: C{SOM.SOM} or C{SOM.SO}
@raise TypeError: The object used for calculation is not a C{SOM} or a
C{SO}
@raise RuntimeError: The C{SOM} x-axis units are not I{microsecond}
@raise RuntimeError: A C{SOM} does not contain an instrument and no
pathlength was provided
@raise RuntimeError: No C{SOM} is provided and no pathlength given
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "number" or o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % o_descr)
else:
pass
# Setup keyword arguments
try:
pathlength = kwargs["pathlength"]
except KeyError:
pathlength = None
try:
units = kwargs["units"]
except KeyError:
units = "microsecond"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
if pathlength is not None:
p_descr = hlr_utils.get_descr(pathlength)
else:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided")
else:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"information must be provided")
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result.setYLabel("Transmission")
# iterate through the values
import array_manip
import axis_manip
import nessi_list
import utils
import math
len_obj = hlr_utils.get_length(obj)
for i in xrange(len_obj):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if pathlength is None:
(pl, pl_err2) = hlr_utils.get_parameter("total", map_so, inst)
else:
pl = hlr_utils.get_value(pathlength, i, p_descr)
pl_err2 = hlr_utils.get_err2(pathlength, i, p_descr)
value = axis_manip.tof_to_wavelength(val, err2, pl, pl_err2)
value1 = utils.calc_bin_centers(value[0])
del value
# Convert Angstroms to centimeters
value2 = array_manip.mult_ncerr(value1[0], value1[1],
subtrans_coeff[1] * 1.0e-8, 0.0)
del value1
# Calculate the exponential
value3 = array_manip.add_ncerr(value2[0], value2[1], subtrans_coeff[0],
0.0)
del value2
value4 = array_manip.mult_ncerr(value3[0], value3[1],
-1.0 * substrate_diam, 0.0)
del value3
# Calculate transmission
trans = nessi_list.NessiList()
len_trans = len(value4[0])
for j in xrange(len_trans):
trans.append(math.exp(value4[0][j]))
trans_err2 = nessi_list.NessiList(len(trans))
hlr_utils.result_insert(result, res_descr, (trans, trans_err2), map_so)
return result
def tof_to_final_velocity_dgs(obj, velocity_i, time_zero_offset, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to final_velocity_dgs. The time-of-flight axis for a
C{SOM} must be in units of I{microseconds}. The primary axis of a C{SO} is
assumed to be in units of I{microseconds}. A C{tuple} of C{(tof, tof_err2)}
(assumed to be in units of I{microseconds}) can be converted to
C{(final_velocity_dgs, final_velocity_dgs_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param velocity_i: The initial velocity and its associated error^2
@type velocity_i: C{tuple}
@param time_zero_offset: The time zero offset and its associated error^2
@type time_zero_offset: C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword dist_source_sample: The source to sample distance information and
its associated error^2
@type dist_source_sample: C{tuple} or C{list} of C{tuple}s
@keyword dist_sample_detector: The sample to detector distance information
and its associated error^2
@type dist_sample_detector: C{tuple} or C{list} of C{tuple}s
@keyword run_filter: This determines if the filter on the negative
velocities is run. The default setting is True.
@type run_filter: C{boolean}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}
@type units: C{string}
@return: Object with a primary axis in time-of-flight converted to
final_velocity_dgs
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
"""
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
dist_source_sample = kwargs["dist_source_sample"]
except KeyError:
dist_source_sample = None
try:
dist_sample_detector = kwargs["dist_sample_detector"]
except KeyError:
dist_sample_detector = None
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
run_filter = kwargs["run_filter"]
except KeyError:
run_filter = True
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "meters/microseconds", axis)
result.setAxisLabel(axis, "velocity")
result.setYUnits("Counts/meters/microseconds")
result.setYLabel("Intensity")
else:
pass
# Where to get instrument information
if dist_source_sample is None or dist_sample_detector is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
if dist_source_sample is None and dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample and sample-detector "\
+"distances must be provided.")
elif dist_source_sample is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample distance must be provided.")
elif dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"sample-detector distance must be "\
+"provided.")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if dist_source_sample is not None:
ls_descr = hlr_utils.get_descr(dist_source_sample)
# Do nothing, go on
else:
pass
if dist_sample_detector is not None:
ld_descr = hlr_utils.get_descr(dist_sample_detector)
# Do nothing, go on
else:
pass
# iterate through the values
import axis_manip
if lojac:
import utils
len_obj = hlr_utils.get_length(obj)
for i in xrange(len_obj):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if dist_source_sample is None:
(L_s, L_s_err2) = hlr_utils.get_parameter("primary", map_so, inst)
else:
L_s = hlr_utils.get_value(dist_source_sample, i, ls_descr)
L_s_err2 = hlr_utils.get_err2(dist_source_sample, i, ls_descr)
if dist_sample_detector is None:
(L_d, L_d_err2) = hlr_utils.get_parameter("secondary", map_so,
inst)
else:
L_d = hlr_utils.get_value(dist_sample_detector, i, ld_descr)
L_d_err2 = hlr_utils.get_err2(dist_sample_detector, i, ld_descr)
value = axis_manip.tof_to_final_velocity_dgs(val, err2,
velocity_i[0],
velocity_i[1],
time_zero_offset[0],
time_zero_offset[1],
L_s, L_s_err2,
L_d, L_d_err2)
# Remove all velocities < 0
if run_filter:
index = 0
for valx in value[0]:
if valx >= 0:
break
index += 1
value[0].__delslice__(0, index)
value[1].__delslice__(0, index)
map_so.y.__delslice__(0, index)
map_so.var_y.__delslice__(0, index)
if lojac:
val.__delslice__(0, index)
err2.__delslice__(0, index)
else:
pass
if lojac:
(map_so.y,
map_so.var_y) = utils.linear_order_jacobian(val,
value[0],
map_so.y,
map_so.var_y)
# Need to reverse arrays due to conversion
if o_descr != "number":
valx = axis_manip.reverse_array_cp(value[0])
valxe = axis_manip.reverse_array_cp(value[1])
rev_value = (valx, valxe)
else:
rev_value = value
if map_so is not None:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
hlr_utils.result_insert(result, res_descr, rev_value, map_so,
"x", axis)
return result
def tof_to_initial_wavelength_igs(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to initial_wavelength_igs. The time-of-flight axis for a
C{SOM} must be in units of I{microseconds}. The primary axis of a C{SO} is
assumed to be in units of I{microseconds}. A C{tuple} of C{(tof, tof_err2)}
(assumed to be in units of I{microseconds}) can be converted to
C{(initial_wavelength_igs, initial_wavelength_igs_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword lambda_f:The final wavelength and its associated error^2
@type lambda_f: C{tuple}
@keyword time_zero: The time zero offset and its associated error^2
@type time_zero: C{tuple}
@keyword dist_source_sample: The source to sample distance information and
its associated error^2
@type dist_source_sample: C{tuple} or C{list} of C{tuple}s
@keyword dist_sample_detector: The sample to detector distance information
and its associated error^2
@type dist_sample_detector: C{tuple} or C{list} of C{tuple}s
@keyword run_filter: This determines if the filter on the negative
wavelengths is run. The default setting is True.
@type run_filter: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}
@type units: C{string}
@return: Object with a primary axis in time-of-flight converted to
initial_wavelength_igs
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
lambda_f = kwargs["lambda_f"]
except KeyError:
lambda_f = None
try:
time_zero = kwargs["time_zero"]
except KeyError:
time_zero = None
try:
dist_source_sample = kwargs["dist_source_sample"]
except KeyError:
dist_source_sample = None
try:
dist_sample_detector = kwargs["dist_sample_detector"]
except KeyError:
dist_sample_detector = None
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
run_filter = kwargs["run_filter"]
except KeyError:
run_filter = True
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Angstroms", axis)
result.setAxisLabel(axis, "wavelength")
result.setYUnits("Counts/A")
result.setYLabel("Intensity")
else:
pass
# Where to get instrument information
if dist_source_sample is None or dist_sample_detector is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
if dist_source_sample is None and dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample and sample-detector "\
+"distances must be provided.")
elif dist_source_sample is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample distance must be provided.")
elif dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"sample-detector distance must be "\
+"provided.")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if lambda_f is not None:
l_descr = hlr_utils.get_descr(lambda_f)
else:
if o_descr == "SOM":
try:
som_l_f = obj.attr_list["Wavelength_final"]
except KeyError:
raise RuntimeError("Please provide a final wavelength "\
+"parameter either via the function call "\
+"or the SOM")
else:
raise RuntimeError("You need to provide a final wavelength")
if time_zero is not None:
t_descr = hlr_utils.get_descr(time_zero)
else:
if o_descr == "SOM":
try:
t_0 = obj.attr_list["Time_zero"][0]
t_0_err2 = obj.attr_list["Time_zero"][1]
except KeyError:
raise RuntimeError("Please provide a time-zero "\
+"parameter either via the function call "\
+"or the SOM")
else:
t_0 = 0.0
t_0_err2 = 0.0
if dist_source_sample is not None:
ls_descr = hlr_utils.get_descr(dist_source_sample)
# Do nothing, go on
else:
pass
if dist_sample_detector is not None:
ld_descr = hlr_utils.get_descr(dist_sample_detector)
# Do nothing, go on
else:
pass
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if dist_source_sample is None:
(L_s, L_s_err2) = hlr_utils.get_parameter("primary", map_so, inst)
else:
L_s = hlr_utils.get_value(dist_source_sample, i, ls_descr)
L_s_err2 = hlr_utils.get_err2(dist_source_sample, i, ls_descr)
if dist_sample_detector is None:
(L_d, L_d_err2) = hlr_utils.get_parameter("secondary", map_so,
inst)
else:
L_d = hlr_utils.get_value(dist_sample_detector, i, ld_descr)
L_d_err2 = hlr_utils.get_err2(dist_sample_detector, i, ld_descr)
if lambda_f is not None:
l_f = hlr_utils.get_value(lambda_f, i, l_descr)
l_f_err2 = hlr_utils.get_err2(lambda_f, i, l_descr)
else:
l_f_tuple = hlr_utils.get_special(som_l_f, map_so)
l_f = l_f_tuple[0]
l_f_err2 = l_f_tuple[1]
if time_zero is not None:
t_0 = hlr_utils.get_value(time_zero, i, t_descr)
t_0_err2 = hlr_utils.get_err2(time_zero, i, t_descr)
else:
pass
value = axis_manip.tof_to_initial_wavelength_igs(val, err2,
l_f, l_f_err2,
t_0, t_0_err2,
L_s, L_s_err2,
L_d, L_d_err2)
# Remove all wavelengths < 0
if run_filter:
index = 0
for val in value[0]:
if val >= 0:
break
index += 1
value[0].__delslice__(0, index)
value[1].__delslice__(0, index)
map_so.y.__delslice__(0, index)
map_so.var_y.__delslice__(0, index)
else:
pass
hlr_utils.result_insert(result, res_descr, value, map_so, "x", axis)
return result
def feff_correct_mon(obj, **kwargs):
"""
This function takes in a monitor spectra, calculates efficiencies based on
the montior's wavelength axis and divides the monitor counts by the
calculated efficiencies. The function is a M{constant * wavelength}.
@param obj: Object containing monitor spectra
@type obj: C{SOM.SOM} or C{SOM.SO}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}.
@type units: C{string}
@keyword eff_const: Use this provided effieciency constant. The default is
(0.00000085 / 1.8) Angstroms^-1.
@type eff_const: L{hlr_utils.DrParameter}
@keyword inst_name: The short name of an instrument.
@type inst_name: C{string}
@return: Efficiency corrected monitor spectra
@rtype: C{SOM.SOM} or C{SOM.SO}
"""
# import the helper functions
import hlr_utils
if obj is None:
return obj
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
try:
eff_const = kwargs["eff_const"]
except KeyError:
# This is for SNS (specifically BASIS) monitors
eff_const = hlr_utils.DrParameter((0.00000085 / 1.8), 0.0,
"Angstroms^-1") # A^-1
inst_name = kwargs.get("inst_name")
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
# iterate through the values
import array_manip
import nessi_list
import dr_lib
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if inst_name is None:
eff = nessi_list.NessiList()
for j in xrange(len(val)-1):
bin_center = (val[j+1] + val[j]) / 2.0
eff.append(eff_const.getValue() * bin_center)
eff_err2 = nessi_list.NessiList(len(eff))
else:
if inst_name == "SANS":
(eff, eff_err2) = dr_lib.subexp_eff(eff_const, val)
else:
raise RuntimeError("Do not know how to handle %s instrument" \
% inst_name)
y_val = hlr_utils.get_value(obj, i, o_descr, "y")
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
value = array_manip.div_ncerr(y_val, y_err2, eff, eff_err2)
hlr_utils.result_insert(result, res_descr, value, map_so, "y")
return result
def tof_to_initial_wavelength_igs_lin_time_zero(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to initial_wavelength_igs_lin_time_zero. The time-of-flight
axis for a C{SOM} must be in units of I{microseconds}. The primary axis of
a C{SO} is assumed to be in units of I{microseconds}. A C{tuple} of
C{(tof, tof_err2)} (assumed to be in units of I{microseconds}) can be
converted to C{(initial_wavelength_igs, initial_wavelength_igs_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword lambda_f:The final wavelength and its associated error^2
@type lambda_f: C{tuple}
@keyword time_zero_slope: The time zero slope and its associated error^2
@type time_zero_slope: C{tuple}
@keyword time_zero_offset: The time zero offset and its associated error^2
@type time_zero_offset: C{tuple}
@keyword dist_source_sample: The source to sample distance information and
its associated error^2
@type dist_source_sample: C{tuple} or C{list} of C{tuple}s
@keyword dist_sample_detector: The sample to detector distance information
and its associated error^2
@type dist_sample_detector: C{tuple} or C{list} of C{tuple}s
@keyword run_filter: This determines if the filter on the negative
wavelengths is run. The default setting is True.
@type run_filter: C{boolean}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}
@type units: C{string}
@return: Object with a primary axis in time-of-flight converted to
initial_wavelength_igs
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
lambda_f = kwargs["lambda_f"]
except KeyError:
lambda_f = None
try:
time_zero_slope = kwargs["time_zero_slope"]
except KeyError:
time_zero_slope = None
# Current constants for Time Zero Slope
TIME_ZERO_SLOPE = (float(0.0), float(0.0))
try:
time_zero_offset = kwargs["time_zero_offset"]
except KeyError:
time_zero_offset = None
# Current constants for Time Zero Offset
TIME_ZERO_OFFSET = (float(0.0), float(0.0))
try:
dist_source_sample = kwargs["dist_source_sample"]
except KeyError:
dist_source_sample = None
try:
dist_sample_detector = kwargs["dist_sample_detector"]
except KeyError:
dist_sample_detector = None
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
run_filter = kwargs["run_filter"]
except KeyError:
run_filter = True
try:
iobj = kwargs["iobj"]
except KeyError:
iobj = None
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Angstroms", axis)
result.setAxisLabel(axis, "wavelength")
result.setYUnits("Counts/A")
result.setYLabel("Intensity")
else:
pass
# Where to get instrument information
if dist_source_sample is None or dist_sample_detector is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
mobj = obj
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
if iobj is None:
if dist_source_sample is None and dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample and sample-detector "\
+"distances must be provided.")
elif dist_source_sample is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample distance must be "\
+"provided.")
elif dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"sample-detector distance must be "\
+"provided.")
else:
raise RuntimeError("If you get here, see Steve Miller "\
+"for your mug.")
else:
inst = iobj.attr_list.instrument
mobj = iobj
else:
mobj = obj
if lambda_f is not None:
l_descr = hlr_utils.get_descr(lambda_f)
else:
if o_descr == "SOM":
try:
som_l_f = obj.attr_list["Wavelength_final"]
except KeyError:
raise RuntimeError("Please provide a final wavelength "\
+"parameter either via the function call "\
+"or the SOM")
else:
if iobj is None:
raise RuntimeError("You need to provide a final wavelength")
else:
som_l_f = iobj.attr_list["Wavelength_final"]
if time_zero_slope is not None:
t_0_slope_descr = hlr_utils.get_descr(time_zero_slope)
else:
if o_descr == "SOM":
try:
t_0_slope = obj.attr_list["Time_zero_slope"][0]
t_0_slope_err2 = obj.attr_list["Time_zero_slope"][1]
except KeyError:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
else:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
if time_zero_offset is not None:
t_0_offset_descr = hlr_utils.get_descr(time_zero_offset)
else:
if o_descr == "SOM":
try:
t_0_offset = obj.attr_list["Time_zero_offset"][0]
t_0_offset_err2 = obj.attr_list["Time_zero_offset"][1]
except KeyError:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
else:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
if dist_source_sample is not None:
ls_descr = hlr_utils.get_descr(dist_source_sample)
# Do nothing, go on
else:
pass
if dist_sample_detector is not None:
ld_descr = hlr_utils.get_descr(dist_sample_detector)
# Do nothing, go on
else:
pass
# iterate through the values
import axis_manip
if lojac:
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(mobj, None, i)
if dist_source_sample is None:
(L_s, L_s_err2) = hlr_utils.get_parameter("primary", map_so, inst)
else:
L_s = hlr_utils.get_value(dist_source_sample, i, ls_descr)
L_s_err2 = hlr_utils.get_err2(dist_source_sample, i, ls_descr)
if dist_sample_detector is None:
(L_d, L_d_err2) = hlr_utils.get_parameter("secondary", map_so,
inst)
else:
L_d = hlr_utils.get_value(dist_sample_detector, i, ld_descr)
L_d_err2 = hlr_utils.get_err2(dist_sample_detector, i, ld_descr)
if lambda_f is not None:
l_f = hlr_utils.get_value(lambda_f, i, l_descr)
l_f_err2 = hlr_utils.get_err2(lambda_f, i, l_descr)
else:
l_f_tuple = hlr_utils.get_special(som_l_f, map_so)
l_f = l_f_tuple[0]
l_f_err2 = l_f_tuple[1]
if time_zero_slope is not None:
t_0_slope = hlr_utils.get_value(time_zero_slope, i,
t_0_slope_descr)
t_0_slope_err2 = hlr_utils.get_err2(time_zero_slope, i,
t_0_slope_descr)
else:
pass
if time_zero_offset is not None:
t_0_offset = hlr_utils.get_value(time_zero_offset, i,
t_0_offset_descr)
t_0_offset_err2 = hlr_utils.get_err2(time_zero_offset, i,
t_0_offset_descr)
else:
pass
value = axis_manip.tof_to_initial_wavelength_igs_lin_time_zero(
val, err2,
l_f, l_f_err2,
t_0_slope, t_0_slope_err2,
t_0_offset, t_0_offset_err2,
L_s, L_s_err2,
L_d, L_d_err2)
# Remove all wavelengths < 0
if run_filter:
index = 0
for valx in value[0]:
if valx >= 0:
break
index += 1
value[0].__delslice__(0, index)
value[1].__delslice__(0, index)
map_so.y.__delslice__(0, index)
map_so.var_y.__delslice__(0, index)
if lojac:
val.__delslice__(0, index)
err2.__delslice__(0, index)
else:
pass
if lojac:
try:
counts = utils.linear_order_jacobian(val, value[0],
map_so.y, map_so.var_y)
except Exception, e:
# Lets us know offending pixel ID
raise Exception(str(map_so.id) + " " + str(e))
hlr_utils.result_insert(result, res_descr, counts, map_so,
"all", axis, [value[0]])
else:
hlr_utils.result_insert(result, res_descr, value, map_so,
"x", axis)
def initial_wavelength_igs_lin_time_zero_to_tof(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
initial_wavelength_igs_lin_time_zero to time-of-flight. The
initial_wavelength_igs_lin_time_zero axis for a C{SOM} must be in units of
I{Angstroms}. The primary axis of a C{SO} is assumed to be in units of
I{Angstroms}. A C{tuple} of C{(initial_wavelength_igs_lin_time_zero,
initial_wavelength_igs_lin_time_zero_err2)} (assumed to be in units of
I{Angstroms}) can be converted to C{(tof, tof_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword lambda_f:The final wavelength and its associated error^2
@type lambda_f: C{tuple}
@keyword time_zero_slope: The time zero slope and its associated error^2
@type time_zero_slope: C{tuple}
@keyword time_zero_offset: The time zero offset and its associated error^2
@type time_zero_offset: C{tuple}
@keyword dist_source_sample: The source to sample distance information and
its associated error^2
@type dist_source_sample: C{tuple} or C{list} of C{tuple}s
@keyword dist_sample_detector: The sample to detector distance information
and its associated error^2
@type dist_sample_detector: C{tuple} or C{list} of C{tuple}s
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}
@type units: C{string}
@return: Object with a primary axis in initial_wavelength_igs converted to
time-of-flight
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{Angstroms}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
lambda_f = kwargs["lambda_f"]
except KeyError:
lambda_f = None
try:
time_zero_slope = kwargs["time_zero_slope"]
except KeyError:
time_zero_slope = None
# Current constants for Time Zero Slope
TIME_ZERO_SLOPE = (float(0.0), float(0.0))
try:
time_zero_offset = kwargs["time_zero_offset"]
except KeyError:
time_zero_offset = None
# Current constants for Time Zero Offset
TIME_ZERO_OFFSET = (float(0.0), float(0.0))
try:
dist_source_sample = kwargs["dist_source_sample"]
except KeyError:
dist_source_sample = None
try:
dist_sample_detector = kwargs["dist_sample_detector"]
except KeyError:
dist_sample_detector = None
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Microseconds", axis)
result.setAxisLabel(axis, "time-of-flight")
result.setYUnits("Counts/uS")
result.setYLabel("Intensity")
else:
pass
# Where to get instrument information
if dist_source_sample is None or dist_sample_detector is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
if dist_source_sample is None and dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample and sample-detector "\
+"distances must be provided.")
elif dist_source_sample is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample distance must be provided.")
elif dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"sample-detector distance must be "\
+"provided.")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if lambda_f is not None:
l_descr = hlr_utils.get_descr(lambda_f)
else:
if o_descr == "SOM":
try:
som_l_f = obj.attr_list["Wavelength_final"]
except KeyError:
raise RuntimeError("Please provide a final wavelength "\
+"parameter either via the function call "\
+"or the SOM")
else:
raise RuntimeError("You need to provide a final wavelength")
if time_zero_slope is not None:
t_0_slope_descr = hlr_utils.get_descr(time_zero_slope)
else:
if o_descr == "SOM":
try:
t_0_slope = obj.attr_list["Time_zero_slope"][0]
t_0_slope_err2 = obj.attr_list["Time_zero_slope"][1]
except KeyError:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
else:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
if time_zero_offset is not None:
t_0_offset_descr = hlr_utils.get_descr(time_zero_offset)
else:
if o_descr == "SOM":
try:
t_0_offset = obj.attr_list["Time_zero_offset"][0]
t_0_offset_err2 = obj.attr_list["Time_zero_offset"][1]
except KeyError:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
else:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
if dist_source_sample is not None:
ls_descr = hlr_utils.get_descr(dist_source_sample)
# Do nothing, go on
else:
pass
if dist_sample_detector is not None:
ld_descr = hlr_utils.get_descr(dist_sample_detector)
# Do nothing, go on
else:
pass
# iterate through the values
len_obj = hlr_utils.get_length(obj)
MNEUT_OVER_H = 1.0 / 0.003956034
MNEUT_OVER_H2 = MNEUT_OVER_H * MNEUT_OVER_H
for i in xrange(len_obj):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if dist_source_sample is None:
(L_s, L_s_err2) = hlr_utils.get_parameter("primary", map_so, inst)
else:
L_s = hlr_utils.get_value(dist_source_sample, i, ls_descr)
L_s_err2 = hlr_utils.get_err2(dist_source_sample, i, ls_descr)
if dist_sample_detector is None:
(L_d, L_d_err2) = hlr_utils.get_parameter("secondary", map_so,
inst)
else:
L_d = hlr_utils.get_value(dist_sample_detector, i, ld_descr)
L_d_err2 = hlr_utils.get_err2(dist_sample_detector, i, ld_descr)
if lambda_f is not None:
l_f = hlr_utils.get_value(lambda_f, i, l_descr)
l_f_err2 = hlr_utils.get_err2(lambda_f, i, l_descr)
else:
l_f_tuple = hlr_utils.get_special(som_l_f, map_so)
l_f = l_f_tuple[0]
l_f_err2 = l_f_tuple[1]
if time_zero_slope is not None:
t_0_slope = hlr_utils.get_value(time_zero_slope, i,
t_0_slope_descr)
t_0_slope_err2 = hlr_utils.get_err2(time_zero_slope, i,
t_0_slope_descr)
else:
pass
if time_zero_offset is not None:
t_0_offset = hlr_utils.get_value(time_zero_offset, i,
t_0_offset_descr)
t_0_offset_err2 = hlr_utils.get_err2(time_zero_offset, i,
t_0_offset_descr)
else:
pass
# Going to violate rules since the current usage is with a single
# number. When an SCL equivalent function arises, this code can be
# fixed.
front_const = MNEUT_OVER_H * L_s + t_0_slope
term2 = MNEUT_OVER_H * l_f * L_d
tof = (front_const * val) + term2 + t_0_offset
front_const2 = front_const * front_const
eterm1 = l_f * l_f * L_d_err2
eterm2 = L_d * L_d * l_f_err2
eterm3 = MNEUT_OVER_H2 * L_s_err2
tof_err2 = (front_const2 * err2) + (val * val) * \
(eterm3 + t_0_slope_err2) + (MNEUT_OVER_H2 * \
(eterm1 + eterm2)) + \
t_0_offset_err2
hlr_utils.result_insert(result, res_descr, (tof, tof_err2), None,
"all")
return result
def tof_to_final_velocity_dgs(obj, velocity_i, time_zero_offset, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to final_velocity_dgs. The time-of-flight axis for a
C{SOM} must be in units of I{microseconds}. The primary axis of a C{SO} is
assumed to be in units of I{microseconds}. A C{tuple} of C{(tof, tof_err2)}
(assumed to be in units of I{microseconds}) can be converted to
C{(final_velocity_dgs, final_velocity_dgs_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param velocity_i: The initial velocity and its associated error^2
@type velocity_i: C{tuple}
@param time_zero_offset: The time zero offset and its associated error^2
@type time_zero_offset: C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword dist_source_sample: The source to sample distance information and
its associated error^2
@type dist_source_sample: C{tuple} or C{list} of C{tuple}s
@keyword dist_sample_detector: The sample to detector distance information
and its associated error^2
@type dist_sample_detector: C{tuple} or C{list} of C{tuple}s
@keyword run_filter: This determines if the filter on the negative
velocities is run. The default setting is True.
@type run_filter: C{boolean}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}
@type units: C{string}
@return: Object with a primary axis in time-of-flight converted to
final_velocity_dgs
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
"""
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
dist_source_sample = kwargs["dist_source_sample"]
except KeyError:
dist_source_sample = None
try:
dist_sample_detector = kwargs["dist_sample_detector"]
except KeyError:
dist_sample_detector = None
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
run_filter = kwargs["run_filter"]
except KeyError:
run_filter = True
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "meters/microseconds", axis)
result.setAxisLabel(axis, "velocity")
result.setYUnits("Counts/meters/microseconds")
result.setYLabel("Intensity")
else:
pass
# Where to get instrument information
if dist_source_sample is None or dist_sample_detector is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
if dist_source_sample is None and dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample and sample-detector "\
+"distances must be provided.")
elif dist_source_sample is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample distance must be provided.")
elif dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"sample-detector distance must be "\
+"provided.")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if dist_source_sample is not None:
ls_descr = hlr_utils.get_descr(dist_source_sample)
# Do nothing, go on
else:
pass
if dist_sample_detector is not None:
ld_descr = hlr_utils.get_descr(dist_sample_detector)
# Do nothing, go on
else:
pass
# iterate through the values
import axis_manip
if lojac:
import utils
len_obj = hlr_utils.get_length(obj)
for i in xrange(len_obj):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if dist_source_sample is None:
(L_s, L_s_err2) = hlr_utils.get_parameter("primary", map_so, inst)
else:
L_s = hlr_utils.get_value(dist_source_sample, i, ls_descr)
L_s_err2 = hlr_utils.get_err2(dist_source_sample, i, ls_descr)
if dist_sample_detector is None:
(L_d, L_d_err2) = hlr_utils.get_parameter("secondary", map_so,
inst)
else:
L_d = hlr_utils.get_value(dist_sample_detector, i, ld_descr)
L_d_err2 = hlr_utils.get_err2(dist_sample_detector, i, ld_descr)
value = axis_manip.tof_to_final_velocity_dgs(val, err2, velocity_i[0],
velocity_i[1],
time_zero_offset[0],
time_zero_offset[1], L_s,
L_s_err2, L_d, L_d_err2)
# Remove all velocities < 0
if run_filter:
index = 0
for valx in value[0]:
if valx >= 0:
break
index += 1
value[0].__delslice__(0, index)
value[1].__delslice__(0, index)
map_so.y.__delslice__(0, index)
map_so.var_y.__delslice__(0, index)
if lojac:
val.__delslice__(0, index)
err2.__delslice__(0, index)
else:
pass
if lojac:
(map_so.y, map_so.var_y) = utils.linear_order_jacobian(
val, value[0], map_so.y, map_so.var_y)
# Need to reverse arrays due to conversion
if o_descr != "number":
valx = axis_manip.reverse_array_cp(value[0])
valxe = axis_manip.reverse_array_cp(value[1])
rev_value = (valx, valxe)
else:
rev_value = value
if map_so is not None:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
hlr_utils.result_insert(result, res_descr, rev_value, map_so, "x",
axis)
return result
def init_scatt_wavevector_to_scalar_Q(initk, scattk, **kwargs):
"""
This function takes an initial wavevector and a scattered wavevector as a
C{tuple} and a C{SOM}, a C{tuple} and a C{SO} or two C{tuple}s and
calculates the quantity scalar Q units of I{1/Angstroms}. The C{SOM}
principle axis must be in units of I{1/Angstroms}. The C{SO}s and
C{tuple}(s) is(are) assumed to be in units of I{1/Angstroms}. The polar
angle must be provided if one of the initial arguments is not a C{SOM}. If
a C{SOM} is passed, by providing the polar angle at the function call time,
the polar angle carried in the C{SOM} instrument will be overridden.
@param initk: Object holding the initial wavevector
@type initk: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param scattk: Object holding the scattered wavevector
@type scattk: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword polar: The polar angle and its associated error^2
@type polar: C{tuple} or C{list} of C{tuple}s
@keyword units: The expected units for this function. The default for this
function is I{1/Angstroms}.
@type units: C{string}
@return: Object converted to scalar Q
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The C{SOM}-C{SOM} operation is attempted
@raise TypeError: The C{SOM}-C{SO} operation is attempted
@raise TypeError: The C{SO}-C{SOM} operation is attempted
@raise TypeError: The C{SO}-C{SO} operation is attempted
@raise RuntimeError: The C{SOM} x-axis units are not I{1/Angstroms}
@raise RuntimeError: A C{SOM} is not passed and no polar angle is provided
@raise RuntimeError: No C{SOM.Instrument} is provided in a C{SOM}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(initk, scattk)
(i_descr, s_descr) = hlr_utils.get_descr(initk, scattk)
# error checking for types
if i_descr == "SOM" and s_descr == "SOM":
raise TypeError("SOM-SOM operation not supported")
elif i_descr == "SOM" and s_descr == "SO":
raise TypeError("SOM-SO operation not supported")
elif i_descr == "SO" and s_descr == "SOM":
raise TypeError("SO-SOM operation not supported")
elif i_descr == "SO" and s_descr == "SO":
raise TypeError("SO-SO operation not supported")
else:
pass
# Setup keyword arguments
try:
polar = kwargs["polar"]
except KeyError:
polar = None
try:
units = kwargs["units"]
except KeyError:
units = "1/Angstroms"
result = hlr_utils.copy_som_attr(result, res_descr, initk, i_descr,
scattk, s_descr)
if res_descr == "SOM":
index = hlr_utils.one_d_units(result, units)
result = hlr_utils.force_units(result, units, index)
result.setAxisLabel(index, "scalar wavevector transfer")
result.setYUnits("Counts/A-1")
result.setYLabel("Intensity")
else:
pass
if polar is None:
if i_descr == "SOM":
try:
initk.attr_list.instrument.get_primary()
inst = initk.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
elif s_descr == "SOM":
try:
scattk.attr_list.instrument.get_primary()
inst = scattk.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
raise RuntimeError("If no SOM is provided, then polar "\
+"information must be given.")
else:
p_descr = hlr_utils.get_descr(polar)
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(initk, scattk)):
val1 = hlr_utils.get_value(initk, i, i_descr, "x")
err2_1 = hlr_utils.get_err2(initk, i, i_descr, "x")
val2 = hlr_utils.get_value(scattk, i, s_descr, "x")
err2_2 = hlr_utils.get_err2(scattk, i, s_descr, "x")
map_so = hlr_utils.get_map_so(initk, scattk, i)
if polar is None:
(angle, angle_err2) = hlr_utils.get_parameter("polar", map_so,
inst)
else:
angle = hlr_utils.get_value(polar, i, p_descr)
angle_err2 = hlr_utils.get_err2(polar, i, p_descr)
value = axis_manip.init_scatt_wavevector_to_scalar_Q(val1, err2_1,
val2, err2_2,
angle, angle_err2)
hlr_utils.result_insert(result, res_descr, value, map_so, "x")
return result
def fix_bin_contents(obj, **kwargs):
"""
This function takes a SOM or SO and goes through the individual spectra
adjusting the bin contents by either multiplying or dividing by the
bin widths or the bin centers taken from the individual spectra.
@param obj: The data object to be scaled
@type obj: C{SOM.SOM} or C{SOM.SO}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword scale: A flag that signals multiplication by the required bin
quantity. The default is I{False} (divide).
@type scale: C{bool}
@keyword width: A flag that signals that the adjusting quantity is the
bin width. The default is I{True}. If I{False}, the bin
center is used.
@type width: C{bool}
@keyword units: The expected units for this function. The default for this
function is I{microsecond}.
@type units: C{string}
@return: The object with the individual spectrum scaled
@rtype: C{SOM.SOM} or C{SOM.SO}
"""
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
scale = kwargs["scale"]
except KeyError:
scale = False
try:
width = kwargs["width"]
except KeyError:
width = True
try:
units = kwargs["units"]
except KeyError:
units = "microsecond"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis_pos = hlr_utils.one_d_units(obj, units)
else:
axis_pos = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
# iterate through the values
import array_manip
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "y")
err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
axis = hlr_utils.get_value(obj, i, o_descr, "x", axis_pos)
axis_err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis_pos)
map_so = hlr_utils.get_map_so(obj, None, i)
if width:
(bin_const, bin_const_err2) = utils.calc_bin_widths(axis,
axis_err2)
else:
(bin_const, bin_const_err2) = utils.calc_bin_centers(axis,
axis_err2)
if scale:
value = array_manip.mult_ncerr(val, err2, bin_const,
bin_const_err2)
else:
value = array_manip.div_ncerr(val, err2, bin_const, bin_const_err2)
hlr_utils.result_insert(result, res_descr, value, map_so, "y")
return result
def tof_to_scalar_Q(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to scalarQ. The time-of-flight axis for a C{SOM} must be in
units of I{microseconds}. The primary axis of a C{SO} is assumed to be in
units of I{microseconds}. A C{tuple} of C{(time-of-flight,
time-of-flight_err2)} (assumed to be in units of I{microseconds}) can be
converted to C{(scalar_Q, scalar_Q_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword polar: The polar angle and its associated error^2
@type polar: C{tuple} or C{list} of C{tuple}s
@keyword pathlength: The pathlength and its associated error^2
@type pathlength: C{tuple} or C{list} of C{tuple}s
@keyword angle_offset: A constant offset for the polar angle and its
associated error^2. The units of the offset should
be in radians.
@type angle_offset: C{tuple}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}.
@type units: C{string}
@return: Object with a primary axis in time-of-flight converted to scalar Q
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: A C{SOM} is not passed and no polar angle is provided
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % \
o_descr)
else:
pass
# Setup keyword arguments
try:
polar = kwargs["polar"]
except KeyError:
polar = None
try:
pathlength = kwargs["pathlength"]
except KeyError:
pathlength = None
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
try:
angle_offset = kwargs["angle_offset"]
except KeyError:
angle_offset = None
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "1/Angstroms", axis)
result.setAxisLabel(axis, "scalar wavevector transfer")
result.setYUnits("Counts/A-1")
result.setYLabel("Intensity")
else:
pass
if pathlength is None or polar is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided")
else:
if pathlength is None and polar is None:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"and polar angle information must be "\
+"provided")
elif pathlength is None:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"information must be provided")
elif polar is None:
raise RuntimeError("If no SOM is provided, then polar angle "\
+"information must be provided")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if pathlength is not None:
p_descr = hlr_utils.get_descr(pathlength)
else:
pass
if polar is not None:
a_descr = hlr_utils.get_descr(polar)
else:
pass
# iterate through the values
import axis_manip
if lojac:
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if pathlength is None:
(pl, pl_err2) = hlr_utils.get_parameter("total", map_so, inst)
else:
pl = hlr_utils.get_value(pathlength, i, p_descr)
pl_err2 = hlr_utils.get_err2(pathlength, i, p_descr)
if polar is None:
(angle,
angle_err2) = hlr_utils.get_parameter("polar", map_so, inst)
else:
angle = hlr_utils.get_value(polar, i, a_descr)
angle_err2 = hlr_utils.get_err2(polar, i, a_descr)
if angle_offset is not None:
angle += angle_offset[0]
angle_err2 += angle_offset[1]
value = axis_manip.tof_to_scalar_Q(val, err2, pl, pl_err2, angle,
angle_err2)
if lojac:
y_val = hlr_utils.get_value(obj, i, o_descr, "y")
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
counts = utils.linear_order_jacobian(val, value[0], y_val, y_err2)
else:
pass
if o_descr != "number":
value1 = axis_manip.reverse_array_cp(value[0])
value2 = axis_manip.reverse_array_cp(value[1])
rev_value = (value1, value2)
else:
rev_value = value
if map_so is not None:
if not lojac:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
else:
map_so.y = axis_manip.reverse_array_cp(counts[0])
map_so.var_y = axis_manip.reverse_array_cp(counts[1])
else:
pass
hlr_utils.result_insert(result, res_descr, rev_value, map_so, "x",
axis)
return result
def wavelength_to_d_spacing(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from wavelength
to d-spacing. The wavelength axis for a C{SOM} must be in units of
I{Angstroms}. The primary axis of a C{SO} is assumed to be in units of
I{Angstroms}. A C{tuple} of C{(wavelength, wavelength_err2)} (assumed to
be in units of I{Angstroms}) can be converted to C{(d_spacing,
d_spacing_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword polar:The polar angle and its associated error^2
@type polar: C{tuple}
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}
@type units: C{string}
@return: Object with a primary axis in wavelength converted to d-spacing
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: A C{SOM} is not passed and no polar angle is provided
@raise RuntimeError: The C{SOM} x-axis units are not I{Angstroms}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % \
o_descr)
else:
pass
# Setup keyword arguments
try:
polar = kwargs["polar"]
except KeyError:
polar = None
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Angstroms", axis)
result.setAxisLabel(axis, "d-spacing")
result.setYUnits("Counts/A")
result.setYLabel("Intensity")
else:
pass
if polar is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
raise RuntimeError("If no SOM is provided, then polar "\
+"information must be given.")
else:
p_descr = hlr_utils.get_descr(polar)
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if polar is None:
(angle, angle_err2) = hlr_utils.get_parameter("polar", map_so,
inst)
else:
angle = hlr_utils.get_value(polar, i, p_descr)
angle_err2 = hlr_utils.get_err2(polar, i, p_descr)
value = axis_manip.wavelength_to_d_spacing(val, err2, angle,
angle_err2)
hlr_utils.result_insert(result, res_descr, value, map_so, "x",
axis)
return result
def fix_bin_contents(obj, **kwargs):
"""
This function takes a SOM or SO and goes through the individual spectra
adjusting the bin contents by either multiplying or dividing by the
bin widths or the bin centers taken from the individual spectra.
@param obj: The data object to be scaled
@type obj: C{SOM.SOM} or C{SOM.SO}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword scale: A flag that signals multiplication by the required bin
quantity. The default is I{False} (divide).
@type scale: C{bool}
@keyword width: A flag that signals that the adjusting quantity is the
bin width. The default is I{True}. If I{False}, the bin
center is used.
@type width: C{bool}
@keyword units: The expected units for this function. The default for this
function is I{microsecond}.
@type units: C{string}
@return: The object with the individual spectrum scaled
@rtype: C{SOM.SOM} or C{SOM.SO}
"""
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
scale = kwargs["scale"]
except KeyError:
scale = False
try:
width = kwargs["width"]
except KeyError:
width = True
try:
units = kwargs["units"]
except KeyError:
units = "microsecond"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis_pos = hlr_utils.one_d_units(obj, units)
else:
axis_pos = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
# iterate through the values
import array_manip
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "y")
err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
axis = hlr_utils.get_value(obj, i, o_descr, "x", axis_pos)
axis_err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis_pos)
map_so = hlr_utils.get_map_so(obj, None, i)
if width:
(bin_const,
bin_const_err2) = utils.calc_bin_widths(axis, axis_err2)
else:
(bin_const,
bin_const_err2) = utils.calc_bin_centers(axis, axis_err2)
if scale:
value = array_manip.mult_ncerr(val, err2, bin_const,
bin_const_err2)
else:
value = array_manip.div_ncerr(val, err2, bin_const, bin_const_err2)
hlr_utils.result_insert(result, res_descr, value, map_so, "y")
return result
def dimensionless_mon(obj, min_ext, max_ext, **kwargs):
"""
This function takes monitor spectra and converts them to dimensionless
spectra by dividing each spectrum by the total number of counts within the
range [min_ext, max_ext]. Then, each spectrum is multiplied by the quantity
max_ext - min_ext. The units of min_ext and max_ext are assumed to be the
same as the monitor spectra axis.
@param obj: Object containing monitor spectra
@type obj: C{SOM.SOM} or C{SOM.SO}
@param min_ext: Minimium range and associated error^2 for integrating total
counts.
@type min_ext: C{tuple}
@param max_ext: Maximium range and associated error^2 for integrating total
counts.
@type max_ext: C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}.
@type units: C{string}
@return: Dimensionless monitor spectra
@rtype: C{SOM.SOM} or C{SOM.SO}
"""
# import the helper functions
import hlr_utils
if obj is None:
return obj
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
import array_manip
import dr_lib
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "y")
err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
x_axis = hlr_utils.get_value(obj, i, o_descr, "x", axis)
x_err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
bin_widths = utils.calc_bin_widths(x_axis, x_err2)
# Scale bin contents by bin width
value0 = array_manip.mult_ncerr(val, err2, bin_widths[0],
bin_widths[1])
# Find bin range for extents
min_index = utils.bisect_helper(x_axis, min_ext[0])
max_index = utils.bisect_helper(x_axis, max_ext[0])
# Integrate axis using bin width multiplication
(asum, asum_err2) = dr_lib.integrate_axis_py(map_so,
start=min_index,
end=max_index,
width=True)
# Get the number of bins in the integration range
num_bins = max_index - min_index + 1
asum /= num_bins
asum_err2 /= (num_bins * num_bins)
# Divide by sum
value1 = array_manip.div_ncerr(value0[0], value0[1], asum, asum_err2)
hlr_utils.result_insert(result, res_descr, value1, map_so, "y")
return result
def tof_to_initial_wavelength_igs_lin_time_zero(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to initial_wavelength_igs_lin_time_zero. The time-of-flight
axis for a C{SOM} must be in units of I{microseconds}. The primary axis of
a C{SO} is assumed to be in units of I{microseconds}. A C{tuple} of
C{(tof, tof_err2)} (assumed to be in units of I{microseconds}) can be
converted to C{(initial_wavelength_igs, initial_wavelength_igs_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword lambda_f:The final wavelength and its associated error^2
@type lambda_f: C{tuple}
@keyword time_zero_slope: The time zero slope and its associated error^2
@type time_zero_slope: C{tuple}
@keyword time_zero_offset: The time zero offset and its associated error^2
@type time_zero_offset: C{tuple}
@keyword dist_source_sample: The source to sample distance information and
its associated error^2
@type dist_source_sample: C{tuple} or C{list} of C{tuple}s
@keyword dist_sample_detector: The sample to detector distance information
and its associated error^2
@type dist_sample_detector: C{tuple} or C{list} of C{tuple}s
@keyword run_filter: This determines if the filter on the negative
wavelengths is run. The default setting is True.
@type run_filter: C{boolean}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}
@type units: C{string}
@return: Object with a primary axis in time-of-flight converted to
initial_wavelength_igs
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
lambda_f = kwargs["lambda_f"]
except KeyError:
lambda_f = None
try:
time_zero_slope = kwargs["time_zero_slope"]
except KeyError:
time_zero_slope = None
# Current constants for Time Zero Slope
TIME_ZERO_SLOPE = (float(0.0), float(0.0))
try:
time_zero_offset = kwargs["time_zero_offset"]
except KeyError:
time_zero_offset = None
# Current constants for Time Zero Offset
TIME_ZERO_OFFSET = (float(0.0), float(0.0))
try:
dist_source_sample = kwargs["dist_source_sample"]
except KeyError:
dist_source_sample = None
try:
dist_sample_detector = kwargs["dist_sample_detector"]
except KeyError:
dist_sample_detector = None
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
run_filter = kwargs["run_filter"]
except KeyError:
run_filter = True
try:
iobj = kwargs["iobj"]
except KeyError:
iobj = None
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Angstroms", axis)
result.setAxisLabel(axis, "wavelength")
result.setYUnits("Counts/A")
result.setYLabel("Intensity")
else:
pass
# Where to get instrument information
if dist_source_sample is None or dist_sample_detector is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
mobj = obj
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
if iobj is None:
if dist_source_sample is None and dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample and sample-detector "\
+"distances must be provided.")
elif dist_source_sample is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample distance must be "\
+"provided.")
elif dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"sample-detector distance must be "\
+"provided.")
else:
raise RuntimeError("If you get here, see Steve Miller "\
+"for your mug.")
else:
inst = iobj.attr_list.instrument
mobj = iobj
else:
mobj = obj
if lambda_f is not None:
l_descr = hlr_utils.get_descr(lambda_f)
else:
if o_descr == "SOM":
try:
som_l_f = obj.attr_list["Wavelength_final"]
except KeyError:
raise RuntimeError("Please provide a final wavelength "\
+"parameter either via the function call "\
+"or the SOM")
else:
if iobj is None:
raise RuntimeError("You need to provide a final wavelength")
else:
som_l_f = iobj.attr_list["Wavelength_final"]
if time_zero_slope is not None:
t_0_slope_descr = hlr_utils.get_descr(time_zero_slope)
else:
if o_descr == "SOM":
try:
t_0_slope = obj.attr_list["Time_zero_slope"][0]
t_0_slope_err2 = obj.attr_list["Time_zero_slope"][1]
except KeyError:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
else:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
if time_zero_offset is not None:
t_0_offset_descr = hlr_utils.get_descr(time_zero_offset)
else:
if o_descr == "SOM":
try:
t_0_offset = obj.attr_list["Time_zero_offset"][0]
t_0_offset_err2 = obj.attr_list["Time_zero_offset"][1]
except KeyError:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
else:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
if dist_source_sample is not None:
ls_descr = hlr_utils.get_descr(dist_source_sample)
# Do nothing, go on
else:
pass
if dist_sample_detector is not None:
ld_descr = hlr_utils.get_descr(dist_sample_detector)
# Do nothing, go on
else:
pass
# iterate through the values
import axis_manip
if lojac:
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(mobj, None, i)
if dist_source_sample is None:
(L_s, L_s_err2) = hlr_utils.get_parameter("primary", map_so, inst)
else:
L_s = hlr_utils.get_value(dist_source_sample, i, ls_descr)
L_s_err2 = hlr_utils.get_err2(dist_source_sample, i, ls_descr)
if dist_sample_detector is None:
(L_d, L_d_err2) = hlr_utils.get_parameter("secondary", map_so,
inst)
else:
L_d = hlr_utils.get_value(dist_sample_detector, i, ld_descr)
L_d_err2 = hlr_utils.get_err2(dist_sample_detector, i, ld_descr)
if lambda_f is not None:
l_f = hlr_utils.get_value(lambda_f, i, l_descr)
l_f_err2 = hlr_utils.get_err2(lambda_f, i, l_descr)
else:
l_f_tuple = hlr_utils.get_special(som_l_f, map_so)
l_f = l_f_tuple[0]
l_f_err2 = l_f_tuple[1]
if time_zero_slope is not None:
t_0_slope = hlr_utils.get_value(time_zero_slope, i,
t_0_slope_descr)
t_0_slope_err2 = hlr_utils.get_err2(time_zero_slope, i,
t_0_slope_descr)
else:
pass
if time_zero_offset is not None:
t_0_offset = hlr_utils.get_value(time_zero_offset, i,
t_0_offset_descr)
t_0_offset_err2 = hlr_utils.get_err2(time_zero_offset, i,
t_0_offset_descr)
else:
pass
value = axis_manip.tof_to_initial_wavelength_igs_lin_time_zero(
val, err2, l_f, l_f_err2, t_0_slope, t_0_slope_err2, t_0_offset,
t_0_offset_err2, L_s, L_s_err2, L_d, L_d_err2)
# Remove all wavelengths < 0
if run_filter:
index = 0
for valx in value[0]:
if valx >= 0:
break
index += 1
value[0].__delslice__(0, index)
value[1].__delslice__(0, index)
map_so.y.__delslice__(0, index)
map_so.var_y.__delslice__(0, index)
if lojac:
val.__delslice__(0, index)
err2.__delslice__(0, index)
else:
pass
if lojac:
try:
counts = utils.linear_order_jacobian(val, value[0], map_so.y,
map_so.var_y)
except Exception, e:
# Lets us know offending pixel ID
raise Exception(str(map_so.id) + " " + str(e))
hlr_utils.result_insert(result, res_descr, counts, map_so, "all",
axis, [value[0]])
else:
hlr_utils.result_insert(result, res_descr, value, map_so, "x",
axis)
def igs_energy_transfer(obj, **kwargs):
"""
@depricated: This function will eventually disappear when the full S(Q,E)
transformation for IGS detectors is completed and verified.
This function takes a SOM or a SO and calculates the energy transfer for
the IGS class of instruments. It is different from
common_lib.energy_transfer in that the final wavelength is provided in a
SOM.Information, SOM.CompositeInformation or a tuple, then converted to
energy in place before being given to the common_lib.energy_transfer
function.
Parameters:
----------
-> obj
-> kwargs is a list of key word arguments that the function accepts:
units= a string containing the expected units for this function.
The default for this function is meV
lambda_f= a SOM.Information, SOM.CompositeInformation or a tuple
containing the final wavelength information
offset= a SOM.Information or SOM.CompositeInformation containing
the final energy offsets
scale=<boolean> is a flag that determines if the energy transfer
results are scaled by the ratio of lambda_f/lambda_i.
The default is False
Returns:
-------
<- A SOM or SO with the energy transfer calculated in units of THz
Exceptions:
----------
<- RuntimeError is raised if the x-axis units are not meV
<- RuntimeError is raised if a SOM or SO is not given to the function
<- RuntimeError is raised if the final wavelength is not provided to the
function
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "number" or o_descr == "list":
raise RuntimeError, "Must provide a SOM of a SO to the function."
# Go on
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "meV"
try:
lambda_f = kwargs["lambda_f"]
except KeyError:
lambda_f = None
try:
offset = kwargs["offset"]
except KeyError:
offset = None
try:
scale = kwargs["scale"]
except KeyError:
scale = False
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
if lambda_f is None:
if o_descr == "SOM":
try:
lambda_f = obj.attr_list["Wavelength_final"]
except KeyError:
raise RuntimeError("Must provide a final wavelength via the "\
+"incoming SOM or the lambda_f keyword")
else:
raise RuntimeError("Must provide a final wavelength via the "\
+"lambda_f keyword")
else:
pass
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "ueV", axis)
result.setAxisLabel(axis, "energy_transfer")
result.setYUnits("Counts/ueV")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import array_manip
import axis_manip
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
y_val = hlr_utils.get_value(obj, i, o_descr, "y", axis)
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
l_f = hlr_utils.get_special(lambda_f, map_so)
(E_f, E_f_err2) = axis_manip.wavelength_to_energy(l_f[0], l_f[1])
if offset is not None:
info = hlr_utils.get_special(offset, map_so)
try:
E_f_new = array_manip.add_ncerr(E_f, E_f_err2, info[0],
info[1])
except TypeError:
# Have to do this since add_ncerr does not support
# scalar-scalar operations
value1 = E_f + info[0]
value2 = E_f_err2 + info[1]
E_f_new = (value1, value2)
else:
E_f_new = (E_f, E_f_err2)
# Scale counts by lambda_f / lambda_i
if scale:
l_i = axis_manip.energy_to_wavelength(val, err2)
l_i_bc = utils.calc_bin_centers(l_i[0], l_i[1])
ratio = array_manip.div_ncerr(l_f[0], l_f[1], l_i_bc[0], l_i_bc[1])
scale_y = array_manip.mult_ncerr(y_val, y_err2, ratio[0], ratio[1])
else:
scale_y = (y_val, y_err2)
value = array_manip.sub_ncerr(val, err2, E_f_new[0], E_f_new[1])
# Convert from meV to ueV
value2 = array_manip.mult_ncerr(value[0], value[1], 1000.0, 0.0)
value3 = array_manip.mult_ncerr(scale_y[0], scale_y[1], 1.0 / 1000.0,
0.0)
hlr_utils.result_insert(result, res_descr, value3, map_so, "all", 0,
[value2[0]])
return result
def energy_transfer(left, right, **kwargs):
"""
This function takes a C{tuple} and a C{SOM}, a C{tuple} and a C{SO} or two
C{tuple}s and calculates the energy transfer in units of I{THz}. The C{SOM}
principle axis must be in units of I{meV}. The C{SO} and C{tuple}s are
assumed to be in units of I{meV}.
@param left: Object on the left side of the subtraction
@type left: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param right: Object on the right side of the subtraction
@type right: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{meV}
@type units: C{string}
@return: Object based on left - right in units of I{THz}
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise RuntimeError: The x-axis units are not I{meV}
@raise TypeError: C{SOM}-C{SOM} operation not supported
@raise TypeError: C{SOM}-C{SO} operation not supported
@raise TypeError: C{SO}-C{SOM} operation not supported
@raise TypeError: C{SO}-C{SO} operation not supported
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(left, right)
(l_descr, r_descr) = hlr_utils.get_descr(left, right)
# error checking for types
if l_descr == "SOM" and r_descr == "SOM":
raise TypeError("SOM-SOM operation not supported")
elif l_descr == "SOM" and r_descr == "SO":
raise TypeError("SOM-SO operation not supported")
elif l_descr == "SO" and r_descr == "SOM":
raise TypeError("SO-SOM operation not supported")
elif l_descr == "SO" and r_descr == "SO":
raise TypeError("SO-SO operation not supported")
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "meV"
result = hlr_utils.copy_som_attr(result, res_descr, left, l_descr, right,
r_descr)
if res_descr == "SOM":
index = hlr_utils.one_d_units(result, units)
result = hlr_utils.force_units(result, "THz", index)
result.setAxisLabel(index, "energy transfer")
result.setYUnits("Counts/THz")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(left, right)):
val1 = hlr_utils.get_value(left, i, l_descr, "x")
err2_1 = hlr_utils.get_err2(left, i, l_descr, "x")
val2 = hlr_utils.get_value(right, i, r_descr, "x")
err2_2 = hlr_utils.get_err2(right, i, r_descr, "x")
value = axis_manip.energy_transfer(val1, err2_1, val2, err2_2)
map_so = hlr_utils.get_map_so(left, right, i)
hlr_utils.result_insert(result, res_descr, value, map_so, "x")
return result
def energy_transfer(obj, itype, axis_const, **kwargs):
"""
This function takes a SOM with a wavelength axis (initial for IGS and
final for DGS) and calculates the energy transfer.
@param obj: The object containing the wavelength axis
@type obj: C{SOM.SOM}
@param itype: The instrument class type. The choices are either I{IGS} or
I{DGS}.
@type itype: C{string}
@param axis_const: The attribute name for the axis constant which is the
final wavelength for I{IGS} and the initial energy for
I{DGS}.
@type axis_const: C{string}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The units for the incoming axis. The default is
I{Angstroms}.
@type units: C{string}
@keyword change_units: A flag that signals the function to convert from
I{meV} to I{ueV}. The default is I{False}.
@type change_units: C{boolean}
@keyword scale: A flag to scale the y-axis by lambda_f/lambda_i for I{IGS}
and lambda_i/lambda_f for I{DGS}. The default is I{False}.
@type scale: C{boolean}
@keyword lojac: A flag that turns on the calculation and application of
the linear-order Jacobian. The default is I{False}.
@type lojac: C{boolean}
@keyword sa_norm: A flag to turn on solid angle normlaization.
@type sa_norm: C{boolean}
@return: Object with the energy transfer calculated in units of I{meV} or
I{ueV}. The default is I{meV}.
@rtype: C{SOM.SOM}
@raise RuntimeError: The instrument class type is not recognized
@raise RuntimeError: The x-axis units are not Angstroms
@raise RuntimeError: A SOM is not given to the function
"""
# Check the instrument class type to make sure its allowed
allowed_types = ["DGS", "IGS"]
if itype not in allowed_types:
raise RuntimeError("The instrument class type %s is not known. "\
+"Please use DGS or IGS" % itype)
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr != "SOM":
raise RuntimeError("Must provide a SOM to the function.")
# Go on
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
try:
change_units = kwargs["change_units"]
except KeyError:
change_units = False
try:
scale = kwargs["scale"]
except KeyError:
scale = False
try:
sa_norm = kwargs["sa_norm"]
except KeyError:
sa_norm = False
if sa_norm:
inst = obj.attr_list.instrument
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = False
# Primary axis for transformation.
axis = hlr_utils.one_d_units(obj, units)
# Get the subtraction constant
try:
axis_c = obj.attr_list[axis_const]
except KeyError:
raise RuntimeError("Must provide a final wavelength (IGS) or initial "\
+"energy (DGS) via the incoming SOM")
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if change_units:
unit_str = "ueV"
else:
unit_str = "meV"
result = hlr_utils.force_units(result, unit_str, axis)
result.setAxisLabel(axis, "energy_transfer")
result.setYUnits("Counts/" + unit_str)
result.setYLabel("Intensity")
# iterate through the values
import array_manip
import axis_manip
import dr_lib
import utils
for i in xrange(hlr_utils.get_length(obj)):
if itype == "IGS":
l_i = hlr_utils.get_value(obj, i, o_descr, "x", axis)
l_i_err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
else:
l_f = hlr_utils.get_value(obj, i, o_descr, "x", axis)
l_f_err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
y_val = hlr_utils.get_value(obj, i, o_descr, "y", axis)
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if itype == "IGS":
(E_i, E_i_err2) = axis_manip.wavelength_to_energy(l_i, l_i_err2)
l_f = hlr_utils.get_special(axis_c, map_so)[:2]
(E_f, E_f_err2) = axis_manip.wavelength_to_energy(l_f[0], l_f[1])
if lojac:
(y_val, y_err2) = utils.linear_order_jacobian(l_i, E_i,
y_val, y_err2)
else:
(E_i, E_i_err2) = axis_c.toValErrTuple()
(E_f, E_f_err2) = axis_manip.wavelength_to_energy(l_f, l_f_err2)
if lojac:
(y_val, y_err2) = utils.linear_order_jacobian(l_f, E_f,
y_val, y_err2)
if scale:
# Scale counts by lambda_f / lambda_i
if itype == "IGS":
(l_n, l_n_err2) = l_f
(l_d, l_d_err2) = utils.calc_bin_centers(l_i, l_i_err2)
else:
(l_n, l_n_err2) = utils.calc_bin_centers(l_f, l_f_err2)
(l_d, l_d_err2) = axis_manip.energy_to_wavelength(E_i,
E_i_err2)
ratio = array_manip.div_ncerr(l_n, l_n_err2, l_d, l_d_err2)
scale_y = array_manip.mult_ncerr(y_val, y_err2, ratio[0], ratio[1])
else:
scale_y = (y_val, y_err2)
value = array_manip.sub_ncerr(E_i, E_i_err2, E_f, E_f_err2)
if change_units:
# Convert from meV to ueV
value2 = array_manip.mult_ncerr(value[0], value[1], 1000.0, 0.0)
scale_y = array_manip.mult_ncerr(scale_y[0], scale_y[1],
1.0/1000.0, 0.0)
else:
value2 = value
if sa_norm:
if inst.get_name() == "BSS":
dOmega = dr_lib.calc_BSS_solid_angle(map_so, inst)
scale_y = array_manip.div_ncerr(scale_y[0], scale_y[1],
dOmega, 0.0)
else:
raise RuntimeError("Do not know how to get solid angle from "\
+"%s" % inst.get_name())
if itype == "IGS":
# Reverse the values due to the conversion
value_y = axis_manip.reverse_array_cp(scale_y[0])
value_var_y = axis_manip.reverse_array_cp(scale_y[1])
value_x = axis_manip.reverse_array_cp(value2[0])
else:
value_y = scale_y[0]
value_var_y = scale_y[1]
value_x = value2[0]
hlr_utils.result_insert(result, res_descr, (value_y, value_var_y),
map_so, "all", 0, [value_x])
return result
def tof_to_initial_wavelength_igs(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to initial_wavelength_igs. The time-of-flight axis for a
C{SOM} must be in units of I{microseconds}. The primary axis of a C{SO} is
assumed to be in units of I{microseconds}. A C{tuple} of C{(tof, tof_err2)}
(assumed to be in units of I{microseconds}) can be converted to
C{(initial_wavelength_igs, initial_wavelength_igs_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword lambda_f:The final wavelength and its associated error^2
@type lambda_f: C{tuple}
@keyword time_zero: The time zero offset and its associated error^2
@type time_zero: C{tuple}
@keyword dist_source_sample: The source to sample distance information and
its associated error^2
@type dist_source_sample: C{tuple} or C{list} of C{tuple}s
@keyword dist_sample_detector: The sample to detector distance information
and its associated error^2
@type dist_sample_detector: C{tuple} or C{list} of C{tuple}s
@keyword run_filter: This determines if the filter on the negative
wavelengths is run. The default setting is True.
@type run_filter: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}
@type units: C{string}
@return: Object with a primary axis in time-of-flight converted to
initial_wavelength_igs
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
lambda_f = kwargs["lambda_f"]
except KeyError:
lambda_f = None
try:
time_zero = kwargs["time_zero"]
except KeyError:
time_zero = None
try:
dist_source_sample = kwargs["dist_source_sample"]
except KeyError:
dist_source_sample = None
try:
dist_sample_detector = kwargs["dist_sample_detector"]
except KeyError:
dist_sample_detector = None
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
run_filter = kwargs["run_filter"]
except KeyError:
run_filter = True
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Angstroms", axis)
result.setAxisLabel(axis, "wavelength")
result.setYUnits("Counts/A")
result.setYLabel("Intensity")
else:
pass
# Where to get instrument information
if dist_source_sample is None or dist_sample_detector is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
if dist_source_sample is None and dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample and sample-detector "\
+"distances must be provided.")
elif dist_source_sample is None:
raise RuntimeError("If a SOM is not passed, the "\
+"source-sample distance must be provided.")
elif dist_sample_detector is None:
raise RuntimeError("If a SOM is not passed, the "\
+"sample-detector distance must be "\
+"provided.")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if lambda_f is not None:
l_descr = hlr_utils.get_descr(lambda_f)
else:
if o_descr == "SOM":
try:
som_l_f = obj.attr_list["Wavelength_final"]
except KeyError:
raise RuntimeError("Please provide a final wavelength "\
+"parameter either via the function call "\
+"or the SOM")
else:
raise RuntimeError("You need to provide a final wavelength")
if time_zero is not None:
t_descr = hlr_utils.get_descr(time_zero)
else:
if o_descr == "SOM":
try:
t_0 = obj.attr_list["Time_zero"][0]
t_0_err2 = obj.attr_list["Time_zero"][1]
except KeyError:
raise RuntimeError("Please provide a time-zero "\
+"parameter either via the function call "\
+"or the SOM")
else:
t_0 = 0.0
t_0_err2 = 0.0
if dist_source_sample is not None:
ls_descr = hlr_utils.get_descr(dist_source_sample)
# Do nothing, go on
else:
pass
if dist_sample_detector is not None:
ld_descr = hlr_utils.get_descr(dist_sample_detector)
# Do nothing, go on
else:
pass
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if dist_source_sample is None:
(L_s, L_s_err2) = hlr_utils.get_parameter("primary", map_so, inst)
else:
L_s = hlr_utils.get_value(dist_source_sample, i, ls_descr)
L_s_err2 = hlr_utils.get_err2(dist_source_sample, i, ls_descr)
if dist_sample_detector is None:
(L_d, L_d_err2) = hlr_utils.get_parameter("secondary", map_so,
inst)
else:
L_d = hlr_utils.get_value(dist_sample_detector, i, ld_descr)
L_d_err2 = hlr_utils.get_err2(dist_sample_detector, i, ld_descr)
if lambda_f is not None:
l_f = hlr_utils.get_value(lambda_f, i, l_descr)
l_f_err2 = hlr_utils.get_err2(lambda_f, i, l_descr)
else:
l_f_tuple = hlr_utils.get_special(som_l_f, map_so)
l_f = l_f_tuple[0]
l_f_err2 = l_f_tuple[1]
if time_zero is not None:
t_0 = hlr_utils.get_value(time_zero, i, t_descr)
t_0_err2 = hlr_utils.get_err2(time_zero, i, t_descr)
else:
pass
value = axis_manip.tof_to_initial_wavelength_igs(
val, err2, l_f, l_f_err2, t_0, t_0_err2, L_s, L_s_err2, L_d,
L_d_err2)
# Remove all wavelengths < 0
if run_filter:
index = 0
for val in value[0]:
if val >= 0:
break
index += 1
value[0].__delslice__(0, index)
value[1].__delslice__(0, index)
map_so.y.__delslice__(0, index)
map_so.var_y.__delslice__(0, index)
else:
pass
hlr_utils.result_insert(result, res_descr, value, map_so, "x", axis)
return result
def wavelength_to_scalar_Q(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from wavelength
to scalar Q. The wavelength axis for a C{SOM} must be in units of
I{Angstroms}. The primary axis of a C{SO} is assumed to be in units of
I{Angstroms}. A C{tuple} of C{(wavelength, wavelength_err2)} (assumed to
be in units of I{Angstroms}) can be converted to C{(scalar_Q,
scalar_Q_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword polar: The polar angle and its associated error^2
@type polar: C{tuple} or C{list} of C{tuple}s
@keyword pathlength: The pathlength and its associated error^2
@type pathlength: C{tuple} or C{list} of C{tuple}s
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}.
@type units: C{string}
@return: Object with a primary axis in wavelength converted to scalar Q
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: A C{SOM} is not passed and no polar angle is provided
@raise RuntimeError: The C{SOM} x-axis units are not I{Angstroms}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % \
o_descr)
else:
pass
# Setup keyword arguments
try:
polar = kwargs["polar"]
except KeyError:
polar = None
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "1/Angstroms", axis)
result.setAxisLabel(axis, "scalar wavevector transfer")
result.setYUnits("Counts/A-1")
result.setYLabel("Intensity")
else:
pass
if polar is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
raise RuntimeError("If no SOM is provided, then polar "\
+"information must be given.")
else:
p_descr = hlr_utils.get_descr(polar)
# iterate through the values
import axis_manip
if lojac:
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if polar is None:
(angle, angle_err2) = hlr_utils.get_parameter("polar", map_so,
inst)
else:
angle = hlr_utils.get_value(polar, i, p_descr)
angle_err2 = hlr_utils.get_err2(polar, i, p_descr)
value = axis_manip.wavelength_to_scalar_Q(val, err2, angle, angle_err2)
if lojac:
y_val = hlr_utils.get_value(obj, i, o_descr, "y")
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
counts = utils.linear_order_jacobian(val, value[0],
y_val, y_err2)
else:
pass
if o_descr != "number":
value1 = axis_manip.reverse_array_cp(value[0])
value2 = axis_manip.reverse_array_cp(value[1])
rev_value = (value1, value2)
else:
rev_value = value
if map_so is not None:
if not lojac:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
else:
map_so.y = axis_manip.reverse_array_cp(counts[0])
map_so.var_y = axis_manip.reverse_array_cp(counts[1])
else:
pass
hlr_utils.result_insert(result, res_descr, rev_value, map_so, "x",
axis)
return result
def tof_to_ref_scalar_Q(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to reflectometer scalar Q. This means that a single angle
and a single flightpath is used. The time-of-flight axis for a C{SOM} must
be in units of I{microseconds}. The primary axis of a C{SO} is assumed to
be in units of I{microseconds}. A C{tuple} of C{(time-of-flight,
time-of-flight_err2)} (assumed to be in units of I{microseconds}) can be
converted to C{(scalar_Q, scalar_Q_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword polar: The polar angle and its associated error^2
@type polar: C{tuple}
@keyword pathlength: The pathlength and its associated error^2
@type pathlength: C{tuple}
@keyword angle_offset: A constant offset for the polar angle and its
associated error^2. The units of the offset should
be in radians.
@type angle_offset: C{tuple}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}.
@type units: C{string}
@keyword configure: This is the object containing the driver configuration.
This will signal the function to write out the counts
and fractional area to files.
@type configure: C{Configure}
@return: Object with a primary axis in time-of-flight converted to
reflectometer scalar Q
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: A C{SOM} is not passed and no polar angle is provided
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % \
o_descr)
else:
pass
# Setup keyword arguments
polar = kwargs.get("polar")
pathlength = kwargs.get("pathlength")
units = kwargs.get("units", "microseconds")
lojac = kwargs.get("lojac", hlr_utils.check_lojac(obj))
angle_offset = kwargs.get("angle_offset")
config = kwargs.get("configure")
if config is None:
beamdiv_corr = False
else:
beamdiv_corr = config.beamdiv_corr
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "1/Angstroms", axis)
result.setAxisLabel(axis, "scalar wavevector transfer")
result.setYUnits("Counts/A-1")
result.setYLabel("Intensity")
else:
pass
if pathlength is None or polar is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided")
else:
if pathlength is None and polar is None:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"and polar angle information must be "\
+"provided")
elif pathlength is None:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"information must be provided")
elif polar is None:
raise RuntimeError("If no SOM is provided, then polar angle "\
+"information must be provided")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if pathlength is None:
(pl,
pl_err2) = obj.attr_list.instrument.get_total_path(obj[0].id,
det_secondary=True)
else:
(pl, pl_err2) = pathlength
if polar is None:
angle = hlr_utils.get_special(obj.attr_list["data-theta"], obj[0])[0]
angle_err2 = 0.0
else:
(angle, angle_err2) = polar
if angle_offset is not None:
angle += angle_offset[0]
angle_err2 += angle_offset[1]
# Need to multiply angle by 2.0 in order to make it be Theta to
# underlying conversion function
angle *= 2.0
angle_err2 *= 4.0
# iterate through the values
import axis_manip
if lojac:
import utils
if beamdiv_corr:
import dr_lib
for i in xrange(hlr_utils.get_length(obj)):
skip_pixel = False
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if beamdiv_corr:
dangle = dr_lib.ref_beamdiv_correct(obj.attr_list, map_so.id,
config.det_spat_res,
config.center_pix)
# We subtract due to the inversion of the z coordinates from the
# mirror reflection of the beam at the sample.
if dangle is not None:
pangle = angle - (2.0 * dangle)
else:
pangle = angle
skip_pixel = True
else:
pangle = angle
value = axis_manip.tof_to_scalar_Q(val, err2, pl, pl_err2, pangle,
angle_err2)
if lojac:
y_val = hlr_utils.get_value(obj, i, o_descr, "y")
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
counts = utils.linear_order_jacobian(val, value[0], y_val, y_err2)
else:
pass
if o_descr != "number":
value1 = axis_manip.reverse_array_cp(value[0])
value2 = axis_manip.reverse_array_cp(value[1])
rev_value = (value1, value2)
else:
rev_value = value
if map_so is not None:
if not lojac:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
else:
map_so.y = axis_manip.reverse_array_cp(counts[0])
map_so.var_y = axis_manip.reverse_array_cp(counts[1])
else:
pass
if not skip_pixel:
hlr_utils.result_insert(result, res_descr, rev_value, map_so, "x",
axis)
return result
def igs_energy_transfer(obj, **kwargs):
"""
@depricated: This function will eventually disappear when the full S(Q,E)
transformation for IGS detectors is completed and verified.
This function takes a SOM or a SO and calculates the energy transfer for
the IGS class of instruments. It is different from
common_lib.energy_transfer in that the final wavelength is provided in a
SOM.Information, SOM.CompositeInformation or a tuple, then converted to
energy in place before being given to the common_lib.energy_transfer
function.
Parameters:
----------
-> obj
-> kwargs is a list of key word arguments that the function accepts:
units= a string containing the expected units for this function.
The default for this function is meV
lambda_f= a SOM.Information, SOM.CompositeInformation or a tuple
containing the final wavelength information
offset= a SOM.Information or SOM.CompositeInformation containing
the final energy offsets
scale=<boolean> is a flag that determines if the energy transfer
results are scaled by the ratio of lambda_f/lambda_i.
The default is False
Returns:
-------
<- A SOM or SO with the energy transfer calculated in units of THz
Exceptions:
----------
<- RuntimeError is raised if the x-axis units are not meV
<- RuntimeError is raised if a SOM or SO is not given to the function
<- RuntimeError is raised if the final wavelength is not provided to the
function
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "number" or o_descr == "list":
raise RuntimeError, "Must provide a SOM of a SO to the function."
# Go on
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "meV"
try:
lambda_f = kwargs["lambda_f"]
except KeyError:
lambda_f = None
try:
offset = kwargs["offset"]
except KeyError:
offset = None
try:
scale = kwargs["scale"]
except KeyError:
scale = False
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
if lambda_f is None:
if o_descr == "SOM":
try:
lambda_f = obj.attr_list["Wavelength_final"]
except KeyError:
raise RuntimeError("Must provide a final wavelength via the "\
+"incoming SOM or the lambda_f keyword")
else:
raise RuntimeError("Must provide a final wavelength via the "\
+"lambda_f keyword")
else:
pass
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "ueV", axis)
result.setAxisLabel(axis, "energy_transfer")
result.setYUnits("Counts/ueV")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import array_manip
import axis_manip
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
y_val = hlr_utils.get_value(obj, i, o_descr, "y", axis)
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
l_f = hlr_utils.get_special(lambda_f, map_so)
(E_f, E_f_err2) = axis_manip.wavelength_to_energy(l_f[0], l_f[1])
if offset is not None:
info = hlr_utils.get_special(offset, map_so)
try:
E_f_new = array_manip.add_ncerr(E_f, E_f_err2,
info[0], info[1])
except TypeError:
# Have to do this since add_ncerr does not support
# scalar-scalar operations
value1 = E_f + info[0]
value2 = E_f_err2 + info[1]
E_f_new = (value1, value2)
else:
E_f_new = (E_f, E_f_err2)
# Scale counts by lambda_f / lambda_i
if scale:
l_i = axis_manip.energy_to_wavelength(val, err2)
l_i_bc = utils.calc_bin_centers(l_i[0], l_i[1])
ratio = array_manip.div_ncerr(l_f[0], l_f[1],
l_i_bc[0], l_i_bc[1])
scale_y = array_manip.mult_ncerr(y_val, y_err2, ratio[0], ratio[1])
else:
scale_y = (y_val, y_err2)
value = array_manip.sub_ncerr(val, err2, E_f_new[0], E_f_new[1])
# Convert from meV to ueV
value2 = array_manip.mult_ncerr(value[0], value[1], 1000.0, 0.0)
value3 = array_manip.mult_ncerr(scale_y[0], scale_y[1],
1.0/1000.0, 0.0)
hlr_utils.result_insert(result, res_descr, value3, map_so, "all",
0, [value2[0]])
return result
def d_spacing_to_tof_focused_det(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from d-spacing
to a focused time-of-flight. The focusing is done using the geometry
information from a single detector pixel. The d-spacing axis for a C{SOM}
must be in units of I{Angstroms}. The primary axis of a C{SO} is assumed
to be in units of I{Angstroms}.
@param obj: Object to be converted
@type obj: C{SOM.SOM} or C{SOM.SO}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword polar: The polar angle and its associated error^2
@type polar: C{tuple} or C{list} of C{tuple}s
@keyword pathlength: The total pathlength and its associated error^2
@type pathlength: C{tuple} or C{list} of C{tuple}s
@keyword pixel_id: The pixel ID from which the geometry information will
be retrieved from the instrument
@type pixel_id: C{tuple}=(\"bankN\", (x, y))
@keyword verbose: This determines if the pixel geometry information is
printed. The default is False
@type verbose: C{boolean}
@keyword units: The expected units for this function. The default for
this function is I{microseconds}.
@type units: C{string}
@return: Object with a primary axis in d-spacing converted to
time-of-flight
@rtype: C{SOM.SOM} or C{SOM.SO}
@raise RuntimeError: A C{SOM} or C{SO} is not provided to the function
@raise RuntimeError: No C{SOM.Instrument} is provided in a C{SOM}
@raise RuntimeError: No C{SOM} is given and both the pathlength and polar
angle are not provided
@raise RuntimeError: No C{SOM} is given and the pathlength is not provided
@raise RuntimeError: No C{SOM} is given and the polar angle is not provided
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "number" or o_descr == "list":
raise RuntimeError("Must provide a SOM of a SO to the function.")
# Go on
else:
pass
# Setup keyword arguments
try:
polar = kwargs["polar"]
except KeyError:
polar = None
try:
pathlength = kwargs["pathlength"]
except KeyError:
pathlength = None
try:
pixel_id = kwargs["pixel_id"]
except KeyError:
pixel_id = None
try:
verbose = kwargs["verbose"]
except KeyError:
verbose = False
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "microseconds", axis)
result.setAxisLabel(axis, "time-of-flight")
result.setYUnits("Counts/usec")
result.setYLabel("Intensity")
else:
pass
if pathlength is None or polar is None:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("An instrument was not provided")
else:
if pathlength is None and polar is None:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"and polar angle information must be provided")
elif pathlength is None:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"information must be provided")
elif polar is None:
raise RuntimeError("If no SOM is provided, then polar angle "\
+"information must be provided")
else:
raise RuntimeError("If you get here, see Steve Miller for "\
+"your mug.")
else:
pass
if pathlength is not None:
p_descr = hlr_utils.get_descr(pathlength)
if polar is not None:
a_descr = hlr_utils.get_descr(polar)
# iterate through the values
if pixel_id is not None:
tmp_so = SOM.SO()
tmp_so.id = pixel_id
(pl, pl_err2) = hlr_utils.get_parameter("total", tmp_so, inst)
(angle, angle_err2) = hlr_utils.get_parameter("polar", tmp_so, inst)
if verbose:
format_str = "Pixel ID %s has polar angle: (%f,%f) and "
format_str += "pathlength: (%f,%f)"
print format_str % (str(pixel_id), angle, angle_err2, pl, pl_err2)
else:
pass
else:
pl = hlr_utils.get_value(pathlength, 0, p_descr)
pl_err2 = hlr_utils.get_err2(pathlength, 0, p_descr)
angle = hlr_utils.get_value(polar, 0, a_descr)
angle_err2 = hlr_utils.get_err2(polar, 0, a_descr)
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
value = axis_manip.d_spacing_to_tof_focused_det(val, err2, pl, pl_err2,
angle, angle_err2)
hlr_utils.result_insert(result, res_descr, value, map_so, "x", axis)
return result
def init_scatt_wavevector_to_scalar_Q(initk, scattk, **kwargs):
"""
This function takes an initial wavevector and a scattered wavevector as a
C{tuple} and a C{SOM}, a C{tuple} and a C{SO} or two C{tuple}s and
calculates the quantity scalar Q units of I{1/Angstroms}. The C{SOM}
principle axis must be in units of I{1/Angstroms}. The C{SO}s and
C{tuple}(s) is(are) assumed to be in units of I{1/Angstroms}. The polar
angle must be provided if one of the initial arguments is not a C{SOM}. If
a C{SOM} is passed, by providing the polar angle at the function call time,
the polar angle carried in the C{SOM} instrument will be overridden.
@param initk: Object holding the initial wavevector
@type initk: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param scattk: Object holding the scattered wavevector
@type scattk: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword polar: The polar angle and its associated error^2
@type polar: C{tuple} or C{list} of C{tuple}s
@keyword units: The expected units for this function. The default for this
function is I{1/Angstroms}.
@type units: C{string}
@return: Object converted to scalar Q
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The C{SOM}-C{SOM} operation is attempted
@raise TypeError: The C{SOM}-C{SO} operation is attempted
@raise TypeError: The C{SO}-C{SOM} operation is attempted
@raise TypeError: The C{SO}-C{SO} operation is attempted
@raise RuntimeError: The C{SOM} x-axis units are not I{1/Angstroms}
@raise RuntimeError: A C{SOM} is not passed and no polar angle is provided
@raise RuntimeError: No C{SOM.Instrument} is provided in a C{SOM}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(initk, scattk)
(i_descr, s_descr) = hlr_utils.get_descr(initk, scattk)
# error checking for types
if i_descr == "SOM" and s_descr == "SOM":
raise TypeError("SOM-SOM operation not supported")
elif i_descr == "SOM" and s_descr == "SO":
raise TypeError("SOM-SO operation not supported")
elif i_descr == "SO" and s_descr == "SOM":
raise TypeError("SO-SOM operation not supported")
elif i_descr == "SO" and s_descr == "SO":
raise TypeError("SO-SO operation not supported")
else:
pass
# Setup keyword arguments
try:
polar = kwargs["polar"]
except KeyError:
polar = None
try:
units = kwargs["units"]
except KeyError:
units = "1/Angstroms"
result = hlr_utils.copy_som_attr(result, res_descr, initk, i_descr, scattk,
s_descr)
if res_descr == "SOM":
index = hlr_utils.one_d_units(result, units)
result = hlr_utils.force_units(result, units, index)
result.setAxisLabel(index, "scalar wavevector transfer")
result.setYUnits("Counts/A-1")
result.setYLabel("Intensity")
else:
pass
if polar is None:
if i_descr == "SOM":
try:
initk.attr_list.instrument.get_primary()
inst = initk.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
elif s_descr == "SOM":
try:
scattk.attr_list.instrument.get_primary()
inst = scattk.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided!")
else:
raise RuntimeError("If no SOM is provided, then polar "\
+"information must be given.")
else:
p_descr = hlr_utils.get_descr(polar)
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(initk, scattk)):
val1 = hlr_utils.get_value(initk, i, i_descr, "x")
err2_1 = hlr_utils.get_err2(initk, i, i_descr, "x")
val2 = hlr_utils.get_value(scattk, i, s_descr, "x")
err2_2 = hlr_utils.get_err2(scattk, i, s_descr, "x")
map_so = hlr_utils.get_map_so(initk, scattk, i)
if polar is None:
(angle,
angle_err2) = hlr_utils.get_parameter("polar", map_so, inst)
else:
angle = hlr_utils.get_value(polar, i, p_descr)
angle_err2 = hlr_utils.get_err2(polar, i, p_descr)
value = axis_manip.init_scatt_wavevector_to_scalar_Q(
val1, err2_1, val2, err2_2, angle, angle_err2)
hlr_utils.result_insert(result, res_descr, value, map_so, "x")
return result
def wavelength_to_velocity(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from wavelength
to velocity. The wavelength axis for a C{SOM} must be in units of
I{Angstroms}. The primary axis of a C{SO} is assumed to be in
units of I{Angstroms}. A C{tuple} of C{(wavelength, wavelength_err2)}
(assumed to be in units of I{Angstroms}) can be converted to
C{(velocity, velocity_err)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}
@type units: C{string}
@return: Object with a primary axis in wavelength converted to velocity
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{Angstroms}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % \
o_descr)
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "meters/microseconds", axis)
result.setAxisLabel(axis, "velocity")
result.setYUnits("Counts/meters/microseconds")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import axis_manip
if lojac:
import utils
len_obj = hlr_utils.get_length(obj)
for i in xrange(len_obj):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
value = axis_manip.wavelength_to_velocity(val, err2)
if lojac:
y_val = hlr_utils.get_value(obj, i, o_descr, "y")
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
counts = utils.linear_order_jacobian(val, value[0],
y_val, y_err2)
else:
pass
if o_descr != "number":
value1 = axis_manip.reverse_array_cp(value[0])
value2 = axis_manip.reverse_array_cp(value[1])
rev_value = (value1, value2)
else:
rev_value = value
if map_so is not None:
if not lojac:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
else:
map_so.y = axis_manip.reverse_array_cp(counts[0])
map_so.var_y = axis_manip.reverse_array_cp(counts[1])
else:
pass
hlr_utils.result_insert(result, res_descr, rev_value, map_so, "x",
axis)
return result
def calc_substrate_trans(obj, subtrans_coeff, substrate_diam, **kwargs):
"""
This function calculates substrate transmission via the following formula:
T = exp[-(A + B * wavelength) * d] where A is a constant with units of
cm^-1, B is a constant with units of cm^-2 and d is the substrate
diameter in units of cm.
@param obj: The data object that contains the TOF axes to calculate the
transmission from.
@type obj: C{SOM.SOM} or C{SOM.SO}
@param subtrans_coeff: The two coefficients for substrate transmission
calculation.
@type subtrans_coeff: C{tuple} of two C{float}s
@param substrate_diam: The diameter of the substrate.
@type substrate_diam: C{float}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword pathlength: The pathlength and its associated error^2
@type pathlength: C{tuple} or C{list} of C{tuple}s
@keyword units: The expected units for this function. The default for this
function is I{microsecond}.
@type units: C{string}
@return: The calculate transmission for the given substrate parameters
@rtype: C{SOM.SOM} or C{SOM.SO}
@raise TypeError: The object used for calculation is not a C{SOM} or a
C{SO}
@raise RuntimeError: The C{SOM} x-axis units are not I{microsecond}
@raise RuntimeError: A C{SOM} does not contain an instrument and no
pathlength was provided
@raise RuntimeError: No C{SOM} is provided and no pathlength given
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "number" or o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % o_descr)
else:
pass
# Setup keyword arguments
try:
pathlength = kwargs["pathlength"]
except KeyError:
pathlength = None
try:
units = kwargs["units"]
except KeyError:
units = "microsecond"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
if pathlength is not None:
p_descr = hlr_utils.get_descr(pathlength)
else:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided")
else:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"information must be provided")
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result.setYLabel("Transmission")
# iterate through the values
import array_manip
import axis_manip
import nessi_list
import utils
import math
len_obj = hlr_utils.get_length(obj)
for i in xrange(len_obj):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if pathlength is None:
(pl, pl_err2) = hlr_utils.get_parameter("total", map_so, inst)
else:
pl = hlr_utils.get_value(pathlength, i, p_descr)
pl_err2 = hlr_utils.get_err2(pathlength, i, p_descr)
value = axis_manip.tof_to_wavelength(val, err2, pl, pl_err2)
value1 = utils.calc_bin_centers(value[0])
del value
# Convert Angstroms to centimeters
value2 = array_manip.mult_ncerr(value1[0], value1[1],
subtrans_coeff[1]*1.0e-8, 0.0)
del value1
# Calculate the exponential
value3 = array_manip.add_ncerr(value2[0], value2[1],
subtrans_coeff[0], 0.0)
del value2
value4 = array_manip.mult_ncerr(value3[0], value3[1],
-1.0*substrate_diam, 0.0)
del value3
# Calculate transmission
trans = nessi_list.NessiList()
len_trans = len(value4[0])
for j in xrange(len_trans):
trans.append(math.exp(value4[0][j]))
trans_err2 = nessi_list.NessiList(len(trans))
hlr_utils.result_insert(result, res_descr, (trans, trans_err2), map_so)
return result
def wavelength_to_scalar_k(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from wavelength
to scalar k. The wavelength axis for a C{SOM} must be in units of
I{Angstroms}. The primary axis of a C{SO} is assumed to be in units of
I{Angstroms}. A C{tuple} of C{(wavelength, wavelength_err2)} (assumed to
be in units of I{Angstroms}) can be converted to C{(scalar_k,
scalar_k_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}.
@type units: C{string}
@return: Object with a primary axis in wavelength converted to scalar k
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{Angstroms}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % \
o_descr)
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "1/Angstroms", axis)
result.setAxisLabel(axis, "scalar wavevector")
result.setYUnits("Counts/A-1")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
value = axis_manip.wavelength_to_scalar_k(val, err2)
if o_descr != "number":
value1 = axis_manip.reverse_array_cp(value[0])
value2 = axis_manip.reverse_array_cp(value[1])
rev_value = (value1, value2)
else:
rev_value = value
map_so = hlr_utils.get_map_so(obj, None, i)
if map_so is not None:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
else:
pass
hlr_utils.result_insert(result, res_descr, rev_value, map_so, "x",
axis)
return result
def feff_correct_mon(obj, **kwargs):
"""
This function takes in a monitor spectra, calculates efficiencies based on
the montior's wavelength axis and divides the monitor counts by the
calculated efficiencies. The function is a M{constant * wavelength}.
@param obj: Object containing monitor spectra
@type obj: C{SOM.SOM} or C{SOM.SO}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}.
@type units: C{string}
@keyword eff_const: Use this provided effieciency constant. The default is
(0.00000085 / 1.8) Angstroms^-1.
@type eff_const: L{hlr_utils.DrParameter}
@keyword inst_name: The short name of an instrument.
@type inst_name: C{string}
@return: Efficiency corrected monitor spectra
@rtype: C{SOM.SOM} or C{SOM.SO}
"""
# import the helper functions
import hlr_utils
if obj is None:
return obj
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
try:
eff_const = kwargs["eff_const"]
except KeyError:
# This is for SNS (specifically BASIS) monitors
eff_const = hlr_utils.DrParameter((0.00000085 / 1.8), 0.0,
"Angstroms^-1") # A^-1
inst_name = kwargs.get("inst_name")
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
# iterate through the values
import array_manip
import nessi_list
import dr_lib
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if inst_name is None:
eff = nessi_list.NessiList()
for j in xrange(len(val) - 1):
bin_center = (val[j + 1] + val[j]) / 2.0
eff.append(eff_const.getValue() * bin_center)
eff_err2 = nessi_list.NessiList(len(eff))
else:
if inst_name == "SANS":
(eff, eff_err2) = dr_lib.subexp_eff(eff_const, val)
else:
raise RuntimeError("Do not know how to handle %s instrument" \
% inst_name)
y_val = hlr_utils.get_value(obj, i, o_descr, "y")
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
value = array_manip.div_ncerr(y_val, y_err2, eff, eff_err2)
hlr_utils.result_insert(result, res_descr, value, map_so, "y")
return result
def tof_to_wavelength_lin_time_zero(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from
time-of-flight to wavelength incorporating a linear time zero which is a
described as a linear function of the wavelength. The time-of-flight axis
for a C{SOM} must be in units of I{microseconds}. The primary axis of a
C{SO} is assumed to be in units of I{microseconds}. A C{tuple} of C{(tof,
tof_err2)} (assumed to be in units of I{microseconds}) can be converted to
C{(wavelength, wavelength_err2)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword pathlength: The pathlength and its associated error^2
@type pathlength: C{tuple} or C{list} of C{tuple}s
@keyword time_zero_slope: The time zero slope and its associated error^2
@type time_zero_slope: C{tuple}
@keyword time_zero_offset: The time zero offset and its associated error^2
@type time_zero_offset: C{tuple}
@keyword inst_param: The type of parameter requested from an associated
instrument. For this function the acceptable
parameters are I{primary}, I{secondary} and I{total}.
Default is I{primary}.
@type inst_param: C{string}
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is I{True} for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{microseconds}.
@type units: C{string}
@keyword cut_val: Specify a wavelength to cut the spectra at.
@type cut_val: C{float}
@keyword cut_less: A flag that specifies cutting the spectra less than
C{cut_val}. The default is C{True}.
@type cut_less: C{boolean}
@return: Object with a primary axis in time-of-flight converted to
wavelength
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{microseconds}
@raise RuntimeError: A C{SOM} does not contain an instrument and no
pathlength was provided
@raise RuntimeError: No C{SOM} is provided and no pathlength given
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
# Setup keyword arguments
try:
inst_param = kwargs["inst_param"]
except KeyError:
inst_param = "primary"
try:
pathlength = kwargs["pathlength"]
except KeyError:
pathlength = None
try:
time_zero_slope = kwargs["time_zero_slope"]
except KeyError:
time_zero_slope = None
# Current constants for Time Zero Slope
TIME_ZERO_SLOPE = (float(0.0), float(0.0))
try:
time_zero_offset = kwargs["time_zero_offset"]
except KeyError:
time_zero_offset = None
# Current constants for Time Zero Offset
TIME_ZERO_OFFSET = (float(0.0), float(0.0))
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
try:
units = kwargs["units"]
except KeyError:
units = "microseconds"
try:
cut_val = kwargs["cut_val"]
except KeyError:
cut_val = None
try:
cut_less = kwargs["cut_less"]
except KeyError:
cut_less = True
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "Angstroms", axis)
result.setAxisLabel(axis, "wavelength")
result.setYUnits("Counts/A")
result.setYLabel("Intensity")
else:
pass
if pathlength is not None:
p_descr = hlr_utils.get_descr(pathlength)
else:
if o_descr == "SOM":
try:
obj.attr_list.instrument.get_primary()
inst = obj.attr_list.instrument
except RuntimeError:
raise RuntimeError("A detector was not provided")
else:
raise RuntimeError("If no SOM is provided, then pathlength "\
+"information must be provided")
if time_zero_slope is not None:
t_0_slope_descr = hlr_utils.get_descr(time_zero_slope)
else:
if o_descr == "SOM":
try:
t_0_slope = obj.attr_list["Time_zero_slope"][0]
t_0_slope_err2 = obj.attr_list["Time_zero_slope"][1]
except KeyError:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
else:
t_0_slope = TIME_ZERO_SLOPE[0]
t_0_slope_err2 = TIME_ZERO_SLOPE[1]
if time_zero_offset is not None:
t_0_offset_descr = hlr_utils.get_descr(time_zero_offset)
else:
if o_descr == "SOM":
try:
t_0_offset = obj.attr_list["Time_zero_offset"][0]
t_0_offset_err2 = obj.attr_list["Time_zero_offset"][1]
except KeyError:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
else:
t_0_offset = TIME_ZERO_OFFSET[0]
t_0_offset_err2 = TIME_ZERO_OFFSET[1]
# iterate through the values
import axis_manip
if lojac or cut_val is not None:
import utils
for i in xrange(hlr_utils.get_length(obj)):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if pathlength is None:
(pl, pl_err2) = hlr_utils.get_parameter(inst_param, map_so, inst)
else:
pl = hlr_utils.get_value(pathlength, i, p_descr)
pl_err2 = hlr_utils.get_err2(pathlength, i, p_descr)
if time_zero_slope is not None:
t_0_slope = hlr_utils.get_value(time_zero_slope, i,
t_0_slope_descr)
t_0_slope_err2 = hlr_utils.get_err2(time_zero_slope, i,
t_0_slope_descr)
else:
pass
if time_zero_offset is not None:
t_0_offset = hlr_utils.get_value(time_zero_offset, i,
t_0_offset_descr)
t_0_offset_err2 = hlr_utils.get_err2(time_zero_offset, i,
t_0_offset_descr)
else:
pass
value = axis_manip.tof_to_wavelength_lin_time_zero(
val, err2, pl, pl_err2, t_0_slope, t_0_slope_err2, t_0_offset,
t_0_offset_err2)
if cut_val is not None:
index = utils.bisect_helper(value[0], cut_val)
if cut_less:
# Need to cut at this index, so increment by one
index += 1
value[0].__delslice__(0, index)
value[1].__delslice__(0, index)
map_so.y.__delslice__(0, index)
map_so.var_y.__delslice__(0, index)
if lojac:
val.__delslice__(0, index)
err2.__delslice__(0, index)
else:
len_data = len(value[0])
# All axis arrays need starting index adjusted by one since
# they always carry one more bin than the data
value[0].__delslice__(index + 1, len_data)
value[1].__delslice__(index + 1, len_data)
map_so.y.__delslice__(index, len_data)
map_so.var_y.__delslice__(index, len_data)
if lojac:
val.__delslice__(index + 1, len_data)
err2.__delslice__(index + 1, len_data)
if lojac:
counts = utils.linear_order_jacobian(val, value[0], map_so.y,
map_so.var_y)
hlr_utils.result_insert(result, res_descr, counts, map_so, "all",
axis, [value[0]])
else:
hlr_utils.result_insert(result, res_descr, value, map_so, "x",
axis)
return result
def energy_transfer(left, right, **kwargs):
"""
This function takes a C{tuple} and a C{SOM}, a C{tuple} and a C{SO} or two
C{tuple}s and calculates the energy transfer in units of I{THz}. The C{SOM}
principle axis must be in units of I{meV}. The C{SO} and C{tuple}s are
assumed to be in units of I{meV}.
@param left: Object on the left side of the subtraction
@type left: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param right: Object on the right side of the subtraction
@type right: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The expected units for this function. The default for this
function is I{meV}
@type units: C{string}
@return: Object based on left - right in units of I{THz}
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise RuntimeError: The x-axis units are not I{meV}
@raise TypeError: C{SOM}-C{SOM} operation not supported
@raise TypeError: C{SOM}-C{SO} operation not supported
@raise TypeError: C{SO}-C{SOM} operation not supported
@raise TypeError: C{SO}-C{SO} operation not supported
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(left, right)
(l_descr, r_descr) = hlr_utils.get_descr(left, right)
# error checking for types
if l_descr == "SOM" and r_descr == "SOM":
raise TypeError("SOM-SOM operation not supported")
elif l_descr == "SOM" and r_descr == "SO":
raise TypeError("SOM-SO operation not supported")
elif l_descr == "SO" and r_descr == "SOM":
raise TypeError("SO-SOM operation not supported")
elif l_descr == "SO" and r_descr == "SO":
raise TypeError("SO-SO operation not supported")
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "meV"
result = hlr_utils.copy_som_attr(result, res_descr, left, l_descr,
right, r_descr)
if res_descr == "SOM":
index = hlr_utils.one_d_units(result, units)
result = hlr_utils.force_units(result, "THz", index)
result.setAxisLabel(index, "energy transfer")
result.setYUnits("Counts/THz")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import axis_manip
for i in xrange(hlr_utils.get_length(left, right)):
val1 = hlr_utils.get_value(left, i, l_descr, "x")
err2_1 = hlr_utils.get_err2(left, i, l_descr, "x")
val2 = hlr_utils.get_value(right, i, r_descr, "x")
err2_2 = hlr_utils.get_err2(right, i, r_descr, "x")
value = axis_manip.energy_transfer(val1, err2_1, val2, err2_2)
map_so = hlr_utils.get_map_so(left, right, i)
hlr_utils.result_insert(result, res_descr, value, map_so, "x")
return result
def wavelength_to_velocity(obj, **kwargs):
"""
This function converts a primary axis of a C{SOM} or C{SO} from wavelength
to velocity. The wavelength axis for a C{SOM} must be in units of
I{Angstroms}. The primary axis of a C{SO} is assumed to be in
units of I{Angstroms}. A C{tuple} of C{(wavelength, wavelength_err2)}
(assumed to be in units of I{Angstroms}) can be converted to
C{(velocity, velocity_err)}.
@param obj: Object to be converted
@type obj: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword lojac: A flag that allows one to turn off the calculation of the
linear-order Jacobian. The default action is True for
histogram data.
@type lojac: C{boolean}
@keyword units: The expected units for this function. The default for this
function is I{Angstroms}
@type units: C{string}
@return: Object with a primary axis in wavelength converted to velocity
@rtype: C{SOM.SOM}, C{SOM.SO} or C{tuple}
@raise TypeError: The incoming object is not a type the function recognizes
@raise RuntimeError: The C{SOM} x-axis units are not I{Angstroms}
"""
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr == "list":
raise TypeError("Do not know how to handle given type: %s" % \
o_descr)
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = hlr_utils.check_lojac(obj)
# Primary axis for transformation. If a SO is passed, the function, will
# assume the axis for transformation is at the 0 position
if o_descr == "SOM":
axis = hlr_utils.one_d_units(obj, units)
else:
axis = 0
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if res_descr == "SOM":
result = hlr_utils.force_units(result, "meters/microseconds", axis)
result.setAxisLabel(axis, "velocity")
result.setYUnits("Counts/meters/microseconds")
result.setYLabel("Intensity")
else:
pass
# iterate through the values
import axis_manip
if lojac:
import utils
len_obj = hlr_utils.get_length(obj)
for i in xrange(len_obj):
val = hlr_utils.get_value(obj, i, o_descr, "x", axis)
err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
value = axis_manip.wavelength_to_velocity(val, err2)
if lojac:
y_val = hlr_utils.get_value(obj, i, o_descr, "y")
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y")
counts = utils.linear_order_jacobian(val, value[0], y_val, y_err2)
else:
pass
if o_descr != "number":
value1 = axis_manip.reverse_array_cp(value[0])
value2 = axis_manip.reverse_array_cp(value[1])
rev_value = (value1, value2)
else:
rev_value = value
if map_so is not None:
if not lojac:
map_so.y = axis_manip.reverse_array_cp(map_so.y)
map_so.var_y = axis_manip.reverse_array_cp(map_so.var_y)
else:
map_so.y = axis_manip.reverse_array_cp(counts[0])
map_so.var_y = axis_manip.reverse_array_cp(counts[1])
else:
pass
hlr_utils.result_insert(result, res_descr, rev_value, map_so, "x",
axis)
return result
def energy_transfer(obj, itype, axis_const, **kwargs):
"""
This function takes a SOM with a wavelength axis (initial for IGS and
final for DGS) and calculates the energy transfer.
@param obj: The object containing the wavelength axis
@type obj: C{SOM.SOM}
@param itype: The instrument class type. The choices are either I{IGS} or
I{DGS}.
@type itype: C{string}
@param axis_const: The attribute name for the axis constant which is the
final wavelength for I{IGS} and the initial energy for
I{DGS}.
@type axis_const: C{string}
@param kwargs: A list of keyword arguments that the function accepts:
@keyword units: The units for the incoming axis. The default is
I{Angstroms}.
@type units: C{string}
@keyword change_units: A flag that signals the function to convert from
I{meV} to I{ueV}. The default is I{False}.
@type change_units: C{boolean}
@keyword scale: A flag to scale the y-axis by lambda_f/lambda_i for I{IGS}
and lambda_i/lambda_f for I{DGS}. The default is I{False}.
@type scale: C{boolean}
@keyword lojac: A flag that turns on the calculation and application of
the linear-order Jacobian. The default is I{False}.
@type lojac: C{boolean}
@keyword sa_norm: A flag to turn on solid angle normlaization.
@type sa_norm: C{boolean}
@return: Object with the energy transfer calculated in units of I{meV} or
I{ueV}. The default is I{meV}.
@rtype: C{SOM.SOM}
@raise RuntimeError: The instrument class type is not recognized
@raise RuntimeError: The x-axis units are not Angstroms
@raise RuntimeError: A SOM is not given to the function
"""
# Check the instrument class type to make sure its allowed
allowed_types = ["DGS", "IGS"]
if itype not in allowed_types:
raise RuntimeError("The instrument class type %s is not known. "\
+"Please use DGS or IGS" % itype)
# import the helper functions
import hlr_utils
# set up for working through data
(result, res_descr) = hlr_utils.empty_result(obj)
o_descr = hlr_utils.get_descr(obj)
if o_descr != "SOM":
raise RuntimeError("Must provide a SOM to the function.")
# Go on
else:
pass
# Setup keyword arguments
try:
units = kwargs["units"]
except KeyError:
units = "Angstroms"
try:
change_units = kwargs["change_units"]
except KeyError:
change_units = False
try:
scale = kwargs["scale"]
except KeyError:
scale = False
try:
sa_norm = kwargs["sa_norm"]
except KeyError:
sa_norm = False
if sa_norm:
inst = obj.attr_list.instrument
try:
lojac = kwargs["lojac"]
except KeyError:
lojac = False
# Primary axis for transformation.
axis = hlr_utils.one_d_units(obj, units)
# Get the subtraction constant
try:
axis_c = obj.attr_list[axis_const]
except KeyError:
raise RuntimeError("Must provide a final wavelength (IGS) or initial "\
+"energy (DGS) via the incoming SOM")
result = hlr_utils.copy_som_attr(result, res_descr, obj, o_descr)
if change_units:
unit_str = "ueV"
else:
unit_str = "meV"
result = hlr_utils.force_units(result, unit_str, axis)
result.setAxisLabel(axis, "energy_transfer")
result.setYUnits("Counts/" + unit_str)
result.setYLabel("Intensity")
# iterate through the values
import array_manip
import axis_manip
import dr_lib
import utils
for i in xrange(hlr_utils.get_length(obj)):
if itype == "IGS":
l_i = hlr_utils.get_value(obj, i, o_descr, "x", axis)
l_i_err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
else:
l_f = hlr_utils.get_value(obj, i, o_descr, "x", axis)
l_f_err2 = hlr_utils.get_err2(obj, i, o_descr, "x", axis)
y_val = hlr_utils.get_value(obj, i, o_descr, "y", axis)
y_err2 = hlr_utils.get_err2(obj, i, o_descr, "y", axis)
map_so = hlr_utils.get_map_so(obj, None, i)
if itype == "IGS":
(E_i, E_i_err2) = axis_manip.wavelength_to_energy(l_i, l_i_err2)
l_f = hlr_utils.get_special(axis_c, map_so)[:2]
(E_f, E_f_err2) = axis_manip.wavelength_to_energy(l_f[0], l_f[1])
if lojac:
(y_val,
y_err2) = utils.linear_order_jacobian(l_i, E_i, y_val, y_err2)
else:
(E_i, E_i_err2) = axis_c.toValErrTuple()
(E_f, E_f_err2) = axis_manip.wavelength_to_energy(l_f, l_f_err2)
if lojac:
(y_val,
y_err2) = utils.linear_order_jacobian(l_f, E_f, y_val, y_err2)
if scale:
# Scale counts by lambda_f / lambda_i
if itype == "IGS":
(l_n, l_n_err2) = l_f
(l_d, l_d_err2) = utils.calc_bin_centers(l_i, l_i_err2)
else:
(l_n, l_n_err2) = utils.calc_bin_centers(l_f, l_f_err2)
(l_d,
l_d_err2) = axis_manip.energy_to_wavelength(E_i, E_i_err2)
ratio = array_manip.div_ncerr(l_n, l_n_err2, l_d, l_d_err2)
scale_y = array_manip.mult_ncerr(y_val, y_err2, ratio[0], ratio[1])
else:
scale_y = (y_val, y_err2)
value = array_manip.sub_ncerr(E_i, E_i_err2, E_f, E_f_err2)
if change_units:
# Convert from meV to ueV
value2 = array_manip.mult_ncerr(value[0], value[1], 1000.0, 0.0)
scale_y = array_manip.mult_ncerr(scale_y[0], scale_y[1],
1.0 / 1000.0, 0.0)
else:
value2 = value
if sa_norm:
if inst.get_name() == "BSS":
dOmega = dr_lib.calc_BSS_solid_angle(map_so, inst)
scale_y = array_manip.div_ncerr(scale_y[0], scale_y[1], dOmega,
0.0)
else:
raise RuntimeError("Do not know how to get solid angle from "\
+"%s" % inst.get_name())
if itype == "IGS":
# Reverse the values due to the conversion
value_y = axis_manip.reverse_array_cp(scale_y[0])
value_var_y = axis_manip.reverse_array_cp(scale_y[1])
value_x = axis_manip.reverse_array_cp(value2[0])
else:
value_y = scale_y[0]
value_var_y = scale_y[1]
value_x = value2[0]
hlr_utils.result_insert(result, res_descr, (value_y, value_var_y),
map_so, "all", 0, [value_x])
return result
