def getCoarseSearchParamRange(self):
"""
Get range of linear params to determine wavelength solution.
"""
return can.recursiveStrToListOfLists(
(self.getOSELOTSVar('coarse_search_param_range')),
elem_type_cast=float)
def getWavelengthScalings(self):
"""
Get the fit scalings of the wavelength terms.
"""
return can.recursiveStrToListOfLists(
(self.getOSELOTSVar('wavelength_fit_scalings')),
elem_type_cast=float)
def getWavelengthOfPixSolutionGuess(self):
"""
Get background wavelength solution guess.
Based on historic, hand-determine solutions.
"""
return can.recursiveStrToListOfLists(
(self.getOSELOTSVar('wavelength_of_pix_solution_guess')),
elem_type_cast=float)
def getBackgroundFitRegion(self):
"""
Get image range over which to fit background. These are the length
of pixels left, right, above, and below the spectrum region to do
the fits.
"""
return can.recursiveStrToListOfLists(
(self.getOSELOTSVar('background_fit_pix_range')),
elem_type_cast=int)
def getGhostSearchBuffer(self):
"""
???
"""
return can.recursiveStrToListOfLists(
(self.getOSELOTSVar('ghost_search_buffer')), elem_type_cast=float)
def getFilters(self):
return can.recursiveStrToListOfLists(self.getPISCOVar('filters'))
def getAmpCorrectColRange(self):
return can.recursiveStrToListOfLists(
self.getPISCOVar('amp_correct_col_range1x1'), elem_type_cast=int)
def getPixelThresholds(self):
return [
int(threshold) for threshold in can.recursiveStrToListOfLists(
self.getPISCOVar('pixel_thresholds'))
]
def getOverscanSections1x1(self):
return can.recursiveStrToListOfLists(
(self.getPISCOVar('overscan_sections_1x1')), elem_type_cast=int)
def getGoodFlatADUs(self):
return can.recursiveStrToListOfLists(
(self.getPISCOVar('flat_good_adu_levels')), elem_type_cast=int)
def getFlatStitchedMeasureSections1x1(self):
return can.recursiveStrToListOfLists(
(self.getPISCOVar('flat_stitched_measure_sections_1x1')),
elem_type_cast=int)
def getFlatSingleAmpMeasureSections1x1(self):
return can.recursiveStrToListOfLists(
(self.getPISCOVar('flat_single_amp_measure_sections_1x1')),
elem_type_cast=int)
def getLeftRightAmpSuffixes(self):
return can.recursiveStrToListOfLists(
(self.getPISCOVar('left_right_suffix')))
def getAmplifierGains(self):
return [
float(gain) for gain in can.recursiveStrToListOfLists(
self.getPISCOVar('gains'))
]
def getImageDimensions(self):
"The dimensions of the image, in pixels. "
return [
float(dim) for dim in can.recursiveStrToListOfLists(
self.getOSELOTSVar('image_dimensions'))
]
def getCoarseSearchNParamStep(self):
"""
Get number of linear params we sample.
"""
return can.recursiveStrToListOfLists(
(self.getOSELOTSVar('coarse_search_n_steps')), elem_type_cast=int)
def get1x1CropRegion(self):
return can.recursiveStrToListOfLists((self.getPISCOVar('crop_1x1')),
elem_type_cast=int)
def getDefaultFigSize(self):
return can.recursiveStrToListOfLists(
(self.getOSELOTSVar('default_fig_size')), elem_type_cast=int)
def getWavelengthRangeOfInterest(self):
"Get wavelength range, in nm, that you want to anlalyze the spectrum over."
return [
float(bound) for bound in can.recursiveStrToListOfLists(
self.getOSELOTSVar('fit_data_wavelength_range'))
]
def getBackgroundCutWavelengths(self):
"The wavelengths that mark the edges of the spectrum. Sections of detector below and above this range will be used to fit the background. "
return [
float(bound) for bound in can.recursiveStrToListOfLists(
self.getOSELOTSVar('background_cut_wavelengths'))
]
