def energy_to_wavelength(obj, **kwargs): """ This function converts a primary axis of a C{SOM} or C{SO} from energy to wavelength. The energy axis for a C{SOM} must be in units of I{meV}. The primary axis of a C{SO} is assumed to be in units of I{meV}. A C{tuple} of C{(energy, energy_err2)} (assumed to be in units of I{meV}) 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 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{meV} @type units: C{string} @return: Object with a primary axis in energy 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{meV} """ # 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 = "meV" 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/Angstrom") result.setYLabel("Intensity") 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) value = axis_manip.energy_to_wavelength(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 create_Qvec_vs_E_dgs(som, E_i, conf, **kwargs): """ This function starts with the energy transfer axis from DGS reduction and turns this into a 4D spectra with Qx, Qy, Qz and Et axes. @param som: The input object with initial IGS wavelength axis @type som: C{SOM.SOM} @param E_i: The initial energy for the given data. @type E_i: C{tuple} @param conf: Object that contains the current setup of the driver. @type conf: L{hlr_utils.Configure} @param kwargs: A list of keyword arguments that the function accepts: @keyword timer: Timing object so the function can perform timing estimates. @type timer: C{sns_timer.DiffTime} @keyword corner_angles: The object that contains the corner geometry information. @type corner_angles: C{dict} @keyword make_fixed: A flag that turns on writing the fixed grid mesh information to a file. @type make_fixed: C{boolean} @keyword output: The output filename and or directory. @type output: C{string} """ import array_manip import axis_manip import common_lib import hlr_utils import os # Check keywords try: t = kwargs["timer"] except KeyError: t = None corner_angles = kwargs["corner_angles"] try: make_fixed = kwargs["make_fixed"] except KeyError: make_fixed = False try: output = kwargs["output"] except KeyError: output = None # Convert initial energy to initial wavevector l_i = common_lib.energy_to_wavelength(E_i) k_i = common_lib.wavelength_to_scalar_k(l_i) # Since all the data is rebinned to the same energy transfer axis, we can # calculate the final energy axis once E_t = som[0].axis[0].val if som[0].axis[0].var is not None: E_t_err2 = som[0].axis[0].var else: import nessi_list E_t_err2 = nessi_list.NessiList(len(E_t)) E_f = array_manip.sub_ncerr(E_i[0], E_i[1], E_t, E_t_err2) # Check for negative final energies which will cause problems with # wavelength conversion due to square root if E_f[0][-1] < 0: E_f[0].reverse() E_f[1].reverse() index = 0 for E in E_f[0]: if E >= 0: break index += 1 E_f[0].__delslice__(0, index) E_f[1].__delslice__(0, index) E_f[0].reverse() E_f[1].reverse() len_E = len(E_f[0]) - 1 # Now we can get the final wavevector l_f = axis_manip.energy_to_wavelength(E_f[0], E_f[1]) k_f = axis_manip.wavelength_to_scalar_k(l_f[0], l_f[1]) # Grab the instrument from the som inst = som.attr_list.instrument if make_fixed: import SOM fixed_grid = {} for key in corner_angles: so_id = SOM.NeXusId.fromString(key).toTuple() try: pathlength = inst.get_secondary(so_id)[0] points = [] for j in range(4): points.extend( __calc_xyz(pathlength, corner_angles[key].getPolar(j), corner_angles[key].getAzimuthal(j))) fixed_grid[key] = points except KeyError: # Pixel ID is not in instrument geometry pass CNT = {} ERR2 = {} V1 = {} V2 = {} V3 = {} V4 = {} # Output positions for Qx, Qy, Qz coordinates X = 0 Y = 2 Z = 4 if t is not None: t.getTime(False) # Iterate though the data len_som = hlr_utils.get_length(som) for i in xrange(len_som): map_so = hlr_utils.get_map_so(som, None, i) yval = hlr_utils.get_value(som, i, "SOM", "y") yerr2 = hlr_utils.get_err2(som, i, "SOM", "y") CNT[str(map_so.id)] = yval ERR2[str(map_so.id)] = yerr2 cangles = corner_angles[str(map_so.id)] Q1 = axis_manip.init_scatt_wavevector_to_Q(k_i[0], k_i[1], k_f[0], k_f[1], cangles.getAzimuthal(0), 0.0, cangles.getPolar(0), 0.0) V1[str(map_so.id)] = {} V1[str(map_so.id)]["x"] = Q1[X] V1[str(map_so.id)]["y"] = Q1[Y] V1[str(map_so.id)]["z"] = Q1[Z] Q2 = axis_manip.init_scatt_wavevector_to_Q(k_i[0], k_i[1], k_f[0], k_f[1], cangles.getAzimuthal(1), 0.0, cangles.getPolar(1), 0.0) V2[str(map_so.id)] = {} V2[str(map_so.id)]["x"] = Q2[X] V2[str(map_so.id)]["y"] = Q2[Y] V2[str(map_so.id)]["z"] = Q2[Z] Q3 = axis_manip.init_scatt_wavevector_to_Q(k_i[0], k_i[1], k_f[0], k_f[1], cangles.getAzimuthal(2), 0.0, cangles.getPolar(2), 0.0) V3[str(map_so.id)] = {} V3[str(map_so.id)]["x"] = Q3[X] V3[str(map_so.id)]["y"] = Q3[Y] V3[str(map_so.id)]["z"] = Q3[Z] Q4 = axis_manip.init_scatt_wavevector_to_Q(k_i[0], k_i[1], k_f[0], k_f[1], cangles.getAzimuthal(3), 0.0, cangles.getPolar(3), 0.0) V4[str(map_so.id)] = {} V4[str(map_so.id)]["x"] = Q4[X] V4[str(map_so.id)]["y"] = Q4[Y] V4[str(map_so.id)]["z"] = Q4[Z] if t is not None: t.getTime(msg="After calculating verticies ") # Form the messages if t is not None: t.getTime(False) jobstr = 'MR' + hlr_utils.create_binner_string(conf) + 'JH' num_lines = len(CNT) * len_E linestr = str(num_lines) if output is not None: outdir = os.path.dirname(output) if outdir != '': if outdir.rfind('.') != -1: outdir = "" else: outdir = "" value = str(som.attr_list["data-run_number"].getValue()).split('/') topdir = os.path.join(outdir, value[0].strip() + "-mesh") try: os.mkdir(topdir) except OSError: pass outtag = os.path.basename(output) if outtag.rfind('.') == -1: outtag = "" else: outtag = outtag.split('.')[0] if outtag != "": filehead = outtag + "_bmesh" if make_fixed: filehead1 = outtag + "_fgrid" filehead2 = outtag + "_conf" else: filehead = "bmesh" if make_fixed: filehead1 = "fgrid" filehead2 = "conf" hfile = open(os.path.join(topdir, "%s.in" % filehead2), "w") print >> hfile, jobstr print >> hfile, linestr hfile.close() import utils use_zero_supp = not conf.no_zero_supp for k in xrange(len_E): ofile = open(os.path.join(topdir, "%s%04d.in" % (filehead, k)), "w") if make_fixed: ofile1 = open(os.path.join(topdir, "%s%04d.in" % (filehead1, k)), "w") for pid in CNT: if use_zero_supp: write_value = not utils.compare(CNT[pid][k], 0.0) == 0 else: write_value = True if write_value: result = [] result.append(str(k)) result.append(str(E_t[k])) result.append(str(E_t[k + 1])) result.append(str(CNT[pid][k])) result.append(str(ERR2[pid][k])) __get_coords(V1, pid, k, result) __get_coords(V2, pid, k, result) __get_coords(V3, pid, k, result) __get_coords(V4, pid, k, result) __get_coords(V1, pid, k + 1, result) __get_coords(V2, pid, k + 1, result) __get_coords(V3, pid, k + 1, result) __get_coords(V4, pid, k + 1, result) print >> ofile, " ".join(result) if make_fixed: result1 = [] result1.append(str(k)) result1.append(str(E_t[k])) result1.append(str(E_t[k + 1])) result1.append(str(CNT[pid][k])) result1.append(str(ERR2[pid][k])) result1.extend([str(x) for x in fixed_grid[pid]]) print >> ofile1, " ".join(result1) ofile.close() if make_fixed: ofile1.close() if t is not None: t.getTime(msg="After creating messages ")
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 create_E_vs_Q_dgs(som, E_i, Q_final, **kwargs): """ This function starts with the rebinned energy transfer and turns this into a 2D spectra with E and Q axes for DGS instruments. @param som: The input object with initial IGS wavelength axis @type som: C{SOM.SOM} @param E_i: The initial energy for the given data. @type E_i: C{tuple} @param Q_final: The momentum transfer axis to rebin the data to @type Q_final: C{nessi_list.NessiList} @param kwargs: A list of keyword arguments that the function accepts: @keyword corner_angles: The object that contains the corner geometry information. @type corner_angles: C{dict} @keyword so_id: The identifier represents a number, string, tuple or other object that describes the resulting C{SO} @type so_id: C{int}, C{string}, C{tuple}, C{pixel ID} @keyword y_label: The y axis label @type y_label: C{string} @keyword y_units: The y axis units @type y_units: C{string} @keyword x_labels: This is a list of names that sets the individual x axis labels @type x_labels: C{list} of C{string}s @keyword x_units: This is a list of names that sets the individual x axis units @type x_units: C{list} of C{string}s @keyword split: This flag causes the counts and the fractional area to be written out into separate files. @type split: C{boolean} @keyword configure: This is the object containing the driver configuration. @type configure: C{Configure} @return: Object containing a 2D C{SO} with E and Q axes @rtype: C{SOM.SOM} """ import array_manip import axis_manip import common_lib import hlr_utils import nessi_list import SOM import utils # Check for keywords corner_angles = kwargs["corner_angles"] configure = kwargs.get("configure") split = kwargs.get("split", False) # Setup output object so_dim = SOM.SO(2) so_dim.axis[0].val = Q_final so_dim.axis[1].val = som[0].axis[0].val # E_t # Calculate total 2D array size N_tot = (len(so_dim.axis[0].val) - 1) * (len(so_dim.axis[1].val) - 1) # Create y and var_y lists from total 2D size so_dim.y = nessi_list.NessiList(N_tot) so_dim.var_y = nessi_list.NessiList(N_tot) # Create area sum and errors for the area sum lists from total 2D size area_sum = nessi_list.NessiList(N_tot) area_sum_err2 = nessi_list.NessiList(N_tot) # Convert initial energy to initial wavevector l_i = common_lib.energy_to_wavelength(E_i) k_i = common_lib.wavelength_to_scalar_k(l_i) # Since all the data is rebinned to the same energy transfer axis, we can # calculate the final energy axis once E_t = som[0].axis[0].val if som[0].axis[0].var is not None: E_t_err2 = som[0].axis[0].var else: E_t_err2 = nessi_list.NessiList(len(E_t)) # Get the bin width arrays from E_t (E_t_bw, E_t_bw_err2) = utils.calc_bin_widths(E_t) E_f = array_manip.sub_ncerr(E_i[0], E_i[1], E_t, E_t_err2) # Now we can get the final wavevector l_f = axis_manip.energy_to_wavelength(E_f[0], E_f[1]) k_f = axis_manip.wavelength_to_scalar_k(l_f[0], l_f[1]) # Output position for Q X = 0 # Iterate though the data len_som = hlr_utils.get_length(som) for i in xrange(len_som): map_so = hlr_utils.get_map_so(som, None, i) yval = hlr_utils.get_value(som, i, "SOM", "y") yerr2 = hlr_utils.get_err2(som, i, "SOM", "y") cangles = corner_angles[str(map_so.id)] avg_theta1 = (cangles.getPolar(0) + cangles.getPolar(1)) / 2.0 avg_theta2 = (cangles.getPolar(2) + cangles.getPolar(3)) / 2.0 Q1 = axis_manip.init_scatt_wavevector_to_scalar_Q(k_i[0], k_i[1], k_f[0][:-1], k_f[1][:-1], avg_theta2, 0.0) Q2 = axis_manip.init_scatt_wavevector_to_scalar_Q(k_i[0], k_i[1], k_f[0][:-1], k_f[1][:-1], avg_theta1, 0.0) Q3 = axis_manip.init_scatt_wavevector_to_scalar_Q(k_i[0], k_i[1], k_f[0][1:], k_f[1][1:], avg_theta1, 0.0) Q4 = axis_manip.init_scatt_wavevector_to_scalar_Q(k_i[0], k_i[1], k_f[0][1:], k_f[1][1:], avg_theta2, 0.0) # Calculate the area of the E,Q polygons (A, A_err2) = utils.calc_eq_jacobian_dgs(E_t[:-1], E_t[:-1], E_t[1:], E_t[1:], Q1[X], Q2[X], Q3[X], Q4[X]) # Apply the Jacobian: C/dE_t * dE_t / A(EQ) = C/A(EQ) (jac_ratio, jac_ratio_err2) = array_manip.div_ncerr(E_t_bw, E_t_bw_err2, A, A_err2) (counts, counts_err2) = array_manip.mult_ncerr(yval, yerr2, jac_ratio, jac_ratio_err2) try: (y_2d, y_2d_err2, area_new, bin_count) = axis_manip.rebin_2D_quad_to_rectlin(Q1[X], E_t[:-1], Q2[X], E_t[:-1], Q3[X], E_t[1:], Q4[X], E_t[1:], counts, counts_err2, so_dim.axis[0].val, so_dim.axis[1].val) del bin_count except IndexError, e: # Get the offending index from the error message index = int(str(e).split()[1].split('index')[-1].strip('[]')) print "Id:", map_so.id print "Index:", index print "Verticies: %f, %f, %f, %f, %f, %f, %f, %f" % (Q1[X][index], E_t[:-1][index], Q2[X][index], E_t[:-1][index], Q3[X][index], E_t[1:][index], Q4[X][index], E_t[1:][index]) raise IndexError(str(e)) # Add in together with previous results (so_dim.y, so_dim.var_y) = array_manip.add_ncerr(so_dim.y, so_dim.var_y, y_2d, y_2d_err2) (area_sum, area_sum_err2) = array_manip.add_ncerr(area_sum, area_sum_err2, area_new, area_sum_err2)
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 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 create_E_vs_Q_dgs(som, E_i, Q_final, **kwargs): """ This function starts with the rebinned energy transfer and turns this into a 2D spectra with E and Q axes for DGS instruments. @param som: The input object with initial IGS wavelength axis @type som: C{SOM.SOM} @param E_i: The initial energy for the given data. @type E_i: C{tuple} @param Q_final: The momentum transfer axis to rebin the data to @type Q_final: C{nessi_list.NessiList} @param kwargs: A list of keyword arguments that the function accepts: @keyword corner_angles: The object that contains the corner geometry information. @type corner_angles: C{dict} @keyword so_id: The identifier represents a number, string, tuple or other object that describes the resulting C{SO} @type so_id: C{int}, C{string}, C{tuple}, C{pixel ID} @keyword y_label: The y axis label @type y_label: C{string} @keyword y_units: The y axis units @type y_units: C{string} @keyword x_labels: This is a list of names that sets the individual x axis labels @type x_labels: C{list} of C{string}s @keyword x_units: This is a list of names that sets the individual x axis units @type x_units: C{list} of C{string}s @keyword split: This flag causes the counts and the fractional area to be written out into separate files. @type split: C{boolean} @keyword configure: This is the object containing the driver configuration. @type configure: C{Configure} @return: Object containing a 2D C{SO} with E and Q axes @rtype: C{SOM.SOM} """ import array_manip import axis_manip import common_lib import hlr_utils import nessi_list import SOM import utils # Check for keywords corner_angles = kwargs["corner_angles"] configure = kwargs.get("configure") split = kwargs.get("split", False) # Setup output object so_dim = SOM.SO(2) so_dim.axis[0].val = Q_final so_dim.axis[1].val = som[0].axis[0].val # E_t # Calculate total 2D array size N_tot = (len(so_dim.axis[0].val) - 1) * (len(so_dim.axis[1].val) - 1) # Create y and var_y lists from total 2D size so_dim.y = nessi_list.NessiList(N_tot) so_dim.var_y = nessi_list.NessiList(N_tot) # Create area sum and errors for the area sum lists from total 2D size area_sum = nessi_list.NessiList(N_tot) area_sum_err2 = nessi_list.NessiList(N_tot) # Convert initial energy to initial wavevector l_i = common_lib.energy_to_wavelength(E_i) k_i = common_lib.wavelength_to_scalar_k(l_i) # Since all the data is rebinned to the same energy transfer axis, we can # calculate the final energy axis once E_t = som[0].axis[0].val if som[0].axis[0].var is not None: E_t_err2 = som[0].axis[0].var else: E_t_err2 = nessi_list.NessiList(len(E_t)) # Get the bin width arrays from E_t (E_t_bw, E_t_bw_err2) = utils.calc_bin_widths(E_t) E_f = array_manip.sub_ncerr(E_i[0], E_i[1], E_t, E_t_err2) # Now we can get the final wavevector l_f = axis_manip.energy_to_wavelength(E_f[0], E_f[1]) k_f = axis_manip.wavelength_to_scalar_k(l_f[0], l_f[1]) # Output position for Q X = 0 # Iterate though the data len_som = hlr_utils.get_length(som) for i in xrange(len_som): map_so = hlr_utils.get_map_so(som, None, i) yval = hlr_utils.get_value(som, i, "SOM", "y") yerr2 = hlr_utils.get_err2(som, i, "SOM", "y") cangles = corner_angles[str(map_so.id)] avg_theta1 = (cangles.getPolar(0) + cangles.getPolar(1)) / 2.0 avg_theta2 = (cangles.getPolar(2) + cangles.getPolar(3)) / 2.0 Q1 = axis_manip.init_scatt_wavevector_to_scalar_Q( k_i[0], k_i[1], k_f[0][:-1], k_f[1][:-1], avg_theta2, 0.0) Q2 = axis_manip.init_scatt_wavevector_to_scalar_Q( k_i[0], k_i[1], k_f[0][:-1], k_f[1][:-1], avg_theta1, 0.0) Q3 = axis_manip.init_scatt_wavevector_to_scalar_Q( k_i[0], k_i[1], k_f[0][1:], k_f[1][1:], avg_theta1, 0.0) Q4 = axis_manip.init_scatt_wavevector_to_scalar_Q( k_i[0], k_i[1], k_f[0][1:], k_f[1][1:], avg_theta2, 0.0) # Calculate the area of the E,Q polygons (A, A_err2) = utils.calc_eq_jacobian_dgs(E_t[:-1], E_t[:-1], E_t[1:], E_t[1:], Q1[X], Q2[X], Q3[X], Q4[X]) # Apply the Jacobian: C/dE_t * dE_t / A(EQ) = C/A(EQ) (jac_ratio, jac_ratio_err2) = array_manip.div_ncerr(E_t_bw, E_t_bw_err2, A, A_err2) (counts, counts_err2) = array_manip.mult_ncerr(yval, yerr2, jac_ratio, jac_ratio_err2) try: (y_2d, y_2d_err2, area_new, bin_count) = axis_manip.rebin_2D_quad_to_rectlin( Q1[X], E_t[:-1], Q2[X], E_t[:-1], Q3[X], E_t[1:], Q4[X], E_t[1:], counts, counts_err2, so_dim.axis[0].val, so_dim.axis[1].val) del bin_count except IndexError, e: # Get the offending index from the error message index = int(str(e).split()[1].split('index')[-1].strip('[]')) print "Id:", map_so.id print "Index:", index print "Verticies: %f, %f, %f, %f, %f, %f, %f, %f" % ( Q1[X][index], E_t[:-1][index], Q2[X][index], E_t[:-1][index], Q3[X][index], E_t[1:][index], Q4[X][index], E_t[1:][index]) raise IndexError(str(e)) # Add in together with previous results (so_dim.y, so_dim.var_y) = array_manip.add_ncerr(so_dim.y, so_dim.var_y, y_2d, y_2d_err2) (area_sum, area_sum_err2) = array_manip.add_ncerr(area_sum, area_sum_err2, area_new, area_sum_err2)
def create_Qvec_vs_E_dgs(som, E_i, conf, **kwargs): """ This function starts with the energy transfer axis from DGS reduction and turns this into a 4D spectra with Qx, Qy, Qz and Et axes. @param som: The input object with initial IGS wavelength axis @type som: C{SOM.SOM} @param E_i: The initial energy for the given data. @type E_i: C{tuple} @param conf: Object that contains the current setup of the driver. @type conf: L{hlr_utils.Configure} @param kwargs: A list of keyword arguments that the function accepts: @keyword timer: Timing object so the function can perform timing estimates. @type timer: C{sns_timer.DiffTime} @keyword corner_angles: The object that contains the corner geometry information. @type corner_angles: C{dict} @keyword make_fixed: A flag that turns on writing the fixed grid mesh information to a file. @type make_fixed: C{boolean} @keyword output: The output filename and or directory. @type output: C{string} """ import array_manip import axis_manip import common_lib import hlr_utils import os # Check keywords try: t = kwargs["timer"] except KeyError: t = None corner_angles = kwargs["corner_angles"] try: make_fixed = kwargs["make_fixed"] except KeyError: make_fixed = False try: output = kwargs["output"] except KeyError: output = None # Convert initial energy to initial wavevector l_i = common_lib.energy_to_wavelength(E_i) k_i = common_lib.wavelength_to_scalar_k(l_i) # Since all the data is rebinned to the same energy transfer axis, we can # calculate the final energy axis once E_t = som[0].axis[0].val if som[0].axis[0].var is not None: E_t_err2 = som[0].axis[0].var else: import nessi_list E_t_err2 = nessi_list.NessiList(len(E_t)) E_f = array_manip.sub_ncerr(E_i[0], E_i[1], E_t, E_t_err2) # Check for negative final energies which will cause problems with # wavelength conversion due to square root if E_f[0][-1] < 0: E_f[0].reverse() E_f[1].reverse() index = 0 for E in E_f[0]: if E >= 0: break index += 1 E_f[0].__delslice__(0, index) E_f[1].__delslice__(0, index) E_f[0].reverse() E_f[1].reverse() len_E = len(E_f[0]) - 1 # Now we can get the final wavevector l_f = axis_manip.energy_to_wavelength(E_f[0], E_f[1]) k_f = axis_manip.wavelength_to_scalar_k(l_f[0], l_f[1]) # Grab the instrument from the som inst = som.attr_list.instrument if make_fixed: import SOM fixed_grid = {} for key in corner_angles: so_id = SOM.NeXusId.fromString(key).toTuple() try: pathlength = inst.get_secondary(so_id)[0] points = [] for j in range(4): points.extend(__calc_xyz(pathlength, corner_angles[key].getPolar(j), corner_angles[key].getAzimuthal(j))) fixed_grid[key] = points except KeyError: # Pixel ID is not in instrument geometry pass CNT = {} ERR2 = {} V1 = {} V2 = {} V3 = {} V4 = {} # Output positions for Qx, Qy, Qz coordinates X = 0 Y = 2 Z = 4 if t is not None: t.getTime(False) # Iterate though the data len_som = hlr_utils.get_length(som) for i in xrange(len_som): map_so = hlr_utils.get_map_so(som, None, i) yval = hlr_utils.get_value(som, i, "SOM", "y") yerr2 = hlr_utils.get_err2(som, i, "SOM", "y") CNT[str(map_so.id)] = yval ERR2[str(map_so.id)] = yerr2 cangles = corner_angles[str(map_so.id)] Q1 = axis_manip.init_scatt_wavevector_to_Q(k_i[0], k_i[1], k_f[0], k_f[1], cangles.getAzimuthal(0), 0.0, cangles.getPolar(0), 0.0) V1[str(map_so.id)] = {} V1[str(map_so.id)]["x"] = Q1[X] V1[str(map_so.id)]["y"] = Q1[Y] V1[str(map_so.id)]["z"] = Q1[Z] Q2 = axis_manip.init_scatt_wavevector_to_Q(k_i[0], k_i[1], k_f[0], k_f[1], cangles.getAzimuthal(1), 0.0, cangles.getPolar(1), 0.0) V2[str(map_so.id)] = {} V2[str(map_so.id)]["x"] = Q2[X] V2[str(map_so.id)]["y"] = Q2[Y] V2[str(map_so.id)]["z"] = Q2[Z] Q3 = axis_manip.init_scatt_wavevector_to_Q(k_i[0], k_i[1], k_f[0], k_f[1], cangles.getAzimuthal(2), 0.0, cangles.getPolar(2), 0.0) V3[str(map_so.id)] = {} V3[str(map_so.id)]["x"] = Q3[X] V3[str(map_so.id)]["y"] = Q3[Y] V3[str(map_so.id)]["z"] = Q3[Z] Q4 = axis_manip.init_scatt_wavevector_to_Q(k_i[0], k_i[1], k_f[0], k_f[1], cangles.getAzimuthal(3), 0.0, cangles.getPolar(3), 0.0) V4[str(map_so.id)] = {} V4[str(map_so.id)]["x"] = Q4[X] V4[str(map_so.id)]["y"] = Q4[Y] V4[str(map_so.id)]["z"] = Q4[Z] if t is not None: t.getTime(msg="After calculating verticies ") # Form the messages if t is not None: t.getTime(False) jobstr = 'MR' + hlr_utils.create_binner_string(conf) + 'JH' num_lines = len(CNT) * len_E linestr = str(num_lines) if output is not None: outdir = os.path.dirname(output) if outdir != '': if outdir.rfind('.') != -1: outdir = "" else: outdir = "" value = str(som.attr_list["data-run_number"].getValue()).split('/') topdir = os.path.join(outdir, value[0].strip() + "-mesh") try: os.mkdir(topdir) except OSError: pass outtag = os.path.basename(output) if outtag.rfind('.') == -1: outtag = "" else: outtag = outtag.split('.')[0] if outtag != "": filehead = outtag + "_bmesh" if make_fixed: filehead1 = outtag + "_fgrid" filehead2 = outtag + "_conf" else: filehead = "bmesh" if make_fixed: filehead1 = "fgrid" filehead2 = "conf" hfile = open(os.path.join(topdir, "%s.in" % filehead2), "w") print >> hfile, jobstr print >> hfile, linestr hfile.close() import utils use_zero_supp = not conf.no_zero_supp for k in xrange(len_E): ofile = open(os.path.join(topdir, "%s%04d.in" % (filehead, k)), "w") if make_fixed: ofile1 = open(os.path.join(topdir, "%s%04d.in" % (filehead1, k)), "w") for pid in CNT: if use_zero_supp: write_value = not utils.compare(CNT[pid][k], 0.0) == 0 else: write_value = True if write_value: result = [] result.append(str(k)) result.append(str(E_t[k])) result.append(str(E_t[k+1])) result.append(str(CNT[pid][k])) result.append(str(ERR2[pid][k])) __get_coords(V1, pid, k, result) __get_coords(V2, pid, k, result) __get_coords(V3, pid, k, result) __get_coords(V4, pid, k, result) __get_coords(V1, pid, k+1, result) __get_coords(V2, pid, k+1, result) __get_coords(V3, pid, k+1, result) __get_coords(V4, pid, k+1, result) print >> ofile, " ".join(result) if make_fixed: result1 = [] result1.append(str(k)) result1.append(str(E_t[k])) result1.append(str(E_t[k+1])) result1.append(str(CNT[pid][k])) result1.append(str(ERR2[pid][k])) result1.extend([str(x) for x in fixed_grid[pid]]) print >> ofile1, " ".join(result1) ofile.close() if make_fixed: ofile1.close() if t is not None: t.getTime(msg="After creating messages ")
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