def dispersion(self, dataset, asMicrometers=False, asNanometers=False,
asAngstroms=False, **args):
# Currently for TRECS data, the dispersion is recorded in meters (?)
input_units = "meters"
# Determine the output units to use
unit_arg_list = [asMicrometers, asNanometers, asAngstroms]
if unit_arg_list.count(True) == 1:
# Just one of the unit arguments was set to True. Return the
# dispersion in these units
if asMicrometers:
output_units = "micrometers"
if asNanometers:
output_units = "nanometers"
if asAngstroms:
output_units = "angstroms"
else:
# Either none of the unit arguments were set to True or more than
# one of the unit arguments was set to True. In either case,
# return the dispersion in the default units of meters
output_units = "meters"
# Determine the dispersion keyword from the global keyword dictionary
keyword = self.get_descriptor_key("key_dispersion")
# Get the value of the dispersion keyword from the header of the PHU
raw_dispersion = dataset.phu_get_key_value(keyword)
if raw_dispersion is None:
# The get_key_value() function returns None if a value cannot be
# found and stores the exception info. Re-raise the exception. It
# will be dealt with by the CalculatorInterface.
if hasattr(dataset, "exception_info"):
raise dataset.exception_info
if disperser == "LowRes-10":
dispersion = 0.022
elif disperser == "LowRes-20":
dispersion = 0.033
elif disperser == "Mirror":
raise Errors.DescriptorTypeError()
else:
raise Errors.CalcError()
# Use the utilities function convert_units to convert the dispersion
# value from the input units to the output units
ret_dispersion = GemCalcUtil.convert_units(
input_units=input_units, input_value=dispersion,
output_units=output_units)
# Instantiate the return DescriptorValue (DV) object
ret_dv = DescriptorValue(ret_dispersion, name="dispersion", ad=dataset)
return ret_dv
def central_wavelength(self, dataset, asMicrometers=False,
asNanometers=False, asAngstroms=False, **args):
# For TRECS data, the central wavelength is recorded in
# micrometers - it's actually hardwired by disperser below.
input_units = "micrometers"
# Determine the output units to use
unit_arg_list = [asMicrometers, asNanometers, asAngstroms]
if unit_arg_list.count(True) == 1:
# Just one of the unit arguments was set to True. Return the
# central wavelength in these units
if asMicrometers:
output_units = "micrometers"
if asNanometers:
output_units = "nanometers"
if asAngstroms:
output_units = "angstroms"
else:
# Either none of the unit arguments were set to True or more than
# one of the unit arguments was set to True. In either case,
# return the central wavelength in the default units of meters
output_units = "meters"
# Determine the disperser keyword from the global keyword dictionary
keyword = self.get_descriptor_key("key_disperser")
# Get the value of the disperser keyword from the header of the PHU
disperser = dataset.phu_get_key_value(keyword)
if disperser is None:
# The phu_get_key_value() function returns None if a value cannot
# be found and stores the exception info. Re-raise the exception.
# It will be dealt with by the CalculatorInterface.
if hasattr(dataset, "exception_info"):
raise dataset.exception_info
if disperser == "LowRes-10":
central_wavelength = 10.5
elif disperser == "LowRes-20":
central_wavelength = 20.0
# Sometimes the header value takes the form "HighRes-10 + 230" or
# similar
elif disperser.startswith("HighRes-10"):
# There is a HRCENWL keyword that contains the central wavelength
# only if we are using the HighRes-10 grating
central_wavelength = dataset.phu_get_key_value(
self.get_descriptor_key("key_central_wavelength"))
elif disperser == "Mirror":
raise Errors.DescriptorTypeError()
else:
raise Errors.CalcError()
# Use the utilities function convert_units to convert the central
# wavelength value from the input units to the output units
ret_central_wavelength = GemCalcUtil.convert_units(
input_units=input_units, input_value=central_wavelength,
output_units=output_units)
# Instantiate the return DescriptorValue (DV) object
ret_dv = DescriptorValue(ret_central_wavelength,
name="central_wavelength", ad=dataset)
return ret_dv
def central_wavelength(self, dataset, asMicrometers=False,
asNanometers=False, asAngstroms=False, **args):
# Currently for NIRI data, the central wavelength is recorded in
# angstroms
input_units = "angstroms"
# Determine the output units to use
unit_arg_list = [asMicrometers, asNanometers, asAngstroms]
if unit_arg_list.count(True) == 1:
# Just one of the unit arguments was set to True. Return the
# central wavelength in these units
if asMicrometers:
output_units = "micrometers"
if asNanometers:
output_units = "nanometers"
if asAngstroms:
output_units = "angstroms"
else:
# Either none of the unit arguments were set to True or more than
# one of the unit arguments was set to True. In either case,
# return the central wavelength in the default units of meters
output_units = "meters"
# The central_wavelength from nsappwave can only be obtained from data
# that does not have an AstroData Type of IMAGE
if "IMAGE" not in dataset.types:
# Get the focal plane mask and disperser values using the
# appropriate descriptors
focal_plane_mask = dataset.focal_plane_mask()
disperser = dataset.disperser(stripID=True)
if focal_plane_mask is None or disperser is None:
# The descriptor functions return None if a value cannot be
# found and stores the exception info. Re-raise the exception.
# It will be dealt with by the CalculatorInterface.
if hasattr(dataset, "exception_info"):
raise dataset.exception_info
# Get the central wavelength value from the nsappwave lookup
# table
count = 0
for row in self.nsappwave.data:
if (focal_plane_mask == row.field("MASK") and
disperser == row.field("GRATING")):
count += 1
if row.field("LAMBDA"):
raw_central_wavelength = float(row.field("LAMBDA"))
else:
raise Errors.TableValueError()
if count == 0:
raise Errors.TableKeyError()
# Use the utilities function convert_units to convert the central
# wavelength value from the input units to the output units
ret_central_wavelength = GemCalcUtil.convert_units(
input_units=input_units,
input_value=float(raw_central_wavelength),
output_units=output_units)
else:
raise Errors.DescriptorTypeError()
# Instantiate the return DescriptorValue (DV) object
ret_dv = DescriptorValue(ret_central_wavelength,
name="central_wavelength", ad=dataset)
return ret_dv
