pyNexafs.nexafs.normalisation.norm_settings

Module to handle default normalisation settings to be used across datasets.

Classes

configBase()	Base abstract class that represents the normalisation settings for a scan.
configChannel([norm_method, channel_name, ...])	Configurations where a particular channel is required to perform the normalisation.
configDouble([apply_to])
configEdges([pre_edge_norm_method, ...])	A class to handle settings for edge normalisation.
configExternal([channel_selection, keyword, ...])	Abstract class for external data normalisation settings.
configExternalChannel([channel_selection, ...])	Configurations for a single channel normalisation using external data.
configMeta(name, bases, dct)	Metaclass for all normalisation settings classes.
configSeries([configs])	Base class for a series of sequential normalisation configurations.
configX([offset, reference_value])	A configuration where the x-axis of the scan is translated for calibration.
configYBase([apply_to])	Base abstract class that represents the normalisation/background settings for a scan.
edgeNormPost(*values)	Enumerated definitions for post-edge normalisation.
edgeNormPre(*values)	Enumerated definitions for pre-edge normalisation.
extSelection(*values)	Definitions for choosing external data selection.
normMethod(*values)	Different methods of performing channel normalisation.