liger_iris_pipeline.normalize.normalize

Functions

apply_norm(input, method)	Divides the input frame by its own median, mean, or mode based on the method string.
do_correction(input_model[, method])	Short Summary Normalize a frame by dividing by its own mean or median

liger_iris_pipeline.normalize.normalize.apply_norm(input, method)

Divides the input frame by its own median, mean, or mode based on the method string.

Parameters:

• input (data model object) – the input science data

• method (string) – name of numpy method to use for normalization, e.g. median (default) or mean mode uses scipy.stats.mode

Returns:

output (data model object) – normalized frame

liger_iris_pipeline.normalize.normalize.do_correction(input_model, method='median')

Short Summary

Normalize a frame by dividing by its own mean or median

param input_model:

the input science data

type input_model:

data model object

param method:

name of numpy method to use for normalization, e.g. median (default) or mean

type method:

string

Returns:

output_model (data model object) – normalized frame