Mc Near Absorption Correction — Savu 4.2 documentation

Parameters

in_datasets:
    visibility: datasets
    dtype: "[list[],list[str]]"
    description: A list of the dataset(s) to process.
    default: "['xrf', 'stxm']"

out_datasets:
    visibility: datasets
    dtype: "[list[],list[str]]"
    description:
        summary: A list of the dataset(s) to create.
        verbose: A list of strings, where each string is a name to be assigned to a dataset output by the plugin. If there is only one input dataset and one output dataset and the list is left empty, the output will take the name of the input dataset. The length of the list is the number of output datasets created by the plugin.
    default: "[]"

azimuthal_offset:
    visibility: basic
    dtype: float
    description: Angle between detectors.
    default: "-90.0"

density:
    visibility: intermediate
    dtype: float
    description: The density
    default: "3.5377"

compound:
    visibility: intermediate
    dtype: str
    description: The compound
    default: Co0.1Re0.01Ti0.05(SiO2)0.84

Key

visibility: The visibility level of the parameter
dtype: The type of data
description: A short explanation of the parameter
default: The default value
options: A list of permitted values
dependency: The name of the parameter and value which this parameter depends upon
range: A guide for the range of the parameter

Citations

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API

class McNearAbsorptionCorrection[source]

McNears absorption correction, takes in a normalised absorption sinogram and xrf sinogram stack.

Parameters: in_datasets – A list of the dataset(s) to process. Default: [‘xrf’,’stxm’].

correct_sino(Ti_ratio, FFI0_Ti, absorption)[source]

get_exponent_Ti_mu(Ti_ratio, absorption, trans_ave_array)[source]

pre_process()[source]: This method is called immediately after base_pre_process().

process_frames(data)[source]

This method is called after the plugin has been created by the pipeline framework and forms the main processing step

Parameters: data (list(np.array)) – A list of numpy arrays for each input dataset.

Mc Near Absorption Correction¶

Description¶