def getFlatFieldData(flatFieldFilename, badChannelFilename):
''' remove bad channels from flat field raw data file, return a list of bad channel corrected raw data
arguments: 1. flat field raw data file name
2. bad channel file name
'''
bad_channel_list = getBadChannelList(badChannelFilename)
if flatFieldFilename is None:
return None
return badChannelCorrection(flatFieldFilename, bad_channel_list)
def getFlatFieldData(flatFieldFilename, badChannelFilename):
''' remove bad channels from flat field raw data file, return a list of bad channel corrected raw data
arguments: 1. flat field raw data file name
2. bad channel file name
'''
bad_channel_list = getBadChannelList(badChannelFilename)
if flatFieldFilename is None:
return None
return badChannelCorrection(flatFieldFilename, bad_channel_list)
def process(self, rawDataFile, detectorPosition):
'''
perform data reduction processes that convert RAW data (channel versus count) to PROCESSED data (angle versus count channel)
inputs: 1. raw data file to be corrected,
2. the detector position at which the raw data are collected.
outputs: dataset which contains a list of tuple (angle, count, error, channel)
'''
bad_channel_corrected_data = badChannelCorrection(rawDataFile, getBadChannelList(self.badChannelFile))
calculate_flat_field_scaling_factors = calculateFlatFieldScalingFactors(getFlatFieldData(self.flatFieldFile, self.badChannelFile))
flat_field_corrected_data = flatFieldCorrection(bad_channel_corrected_data, calculate_flat_field_scaling_factors)
data = applyAngularConversion(self.angularCalibrationFile, detectorPosition, flat_field_corrected_data)
return data
def process(self, rawDataFile, detectorPosition):
'''
perform data reduction processes that convert RAW data (channel versus count) to PROCESSED data (angle versus count channel)
inputs: 1. raw data file to be corrected,
2. the detector position at which the raw data are collected.
outputs: dataset which contains a list of tuple (angle, count, error, channel)
'''
bad_channel_corrected_data = badChannelCorrection(
rawDataFile, getBadChannelList(self.badChannelFile))
calculate_flat_field_scaling_factors = calculateFlatFieldScalingFactors(
getFlatFieldData(self.flatFieldFile, self.badChannelFile))
flat_field_corrected_data = flatFieldCorrection(
bad_channel_corrected_data, calculate_flat_field_scaling_factors)
data = applyAngularConversion(self.angularCalibrationFile,
detectorPosition,
flat_field_corrected_data)
return data
