API

Public Step API

jwst.clean_flicker_noise.clean_flicker_noise_step Module

Correct ramp or rate data for flicker noise.

Classes

CleanFlickerNoiseStep([name, parent, ...])

Perform flicker noise correction.

Complete Developer API

jwst.clean_flicker_noise.autoparam Module

Functions

quick_clean(input_model[, flat_filename])	Run a quick version of the flicker noise cleaning on a rate image.
niriss_image_parameters(input_model, ...)	Determine appropriate parameters for cleaning a NIRISS image.
nircam_image_parameters(input_model, ...)	Determine appropriate parameters for cleaning a NIRCam image.

jwst.clean_flicker_noise.background_level Module

Functions

clip_to_background(image, mask[, ...])	Flag signal and bad pixels in the image mask.
background_level(image, mask[, ...])	Fit a low-resolution background level.

jwst.clean_flicker_noise.clean_flicker_noise Module

Functions

read_flat_file(input_model, flat_filename)	Read flat data from an input file path.
make_rate(input_model[, input_dir, return_cube])	Make a rate model from a ramp model.
post_process_rate(input_model[, input_dir, ...])	Perform additional processing for the input rate model, as needed.
mask_ifu_slices(input_model, mask)	Flag pixels within NIRSpec IFU slices.
mask_slits(input_model, mask)	Flag pixels within science regions for NIRSpec slit modes.
create_mask(input_model[, ...])	Create a mask identifying background pixels.
fft_clean_full_frame(image, mask, detector)	Fit and remove background noise in frequency space for a full-frame image.
fft_clean_subarray(image, mask, detector[, ...])	Fit and remove background noise in frequency space for a subarray image.
median_clean(image, mask, axis_to_correct[, ...])	Fit and remove background noise via median values along one image axis.
make_intermediate_model(input_model, ...)	Make a data model to contain intermediate outputs.
do_correction(input_model[, input_dir, ...])	Apply the 1/f noise correction.

jwst.clean_flicker_noise.nsclean Module

Functions

make_lowpass_filter(f_half_power, w_cutoff, n)	Make a lowpass Fourier filter.
med_abs_deviation(d[, median])	Compute the median absolute deviation.

Classes

NSClean(detector, mask[, fc, kill_width, ...])	JWST NIRSpec background modeling and subtraction -AKA "clean" (NSClean).
NSCleanSubarray(data, mask[, fc, ...])	Background modeling and subtraction for generic JWST near-IR subarrays.

jwst.clean_flicker_noise.tso_median_image Module

Functions

make_median_image(input_model, rateints_model)

Make a scaled median image across integrations to subtract before cleaning.