API

Public Step API

Correct ramp or rate data for flicker noise.

Perform flicker noise correction.

`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.

`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 IFU slices.
`mask_slits`(input_model, mask)	Flag pixels within science regions.
`clip_to_background`(image, mask[, ...])	Flag signal and bad pixels in the image mask.
`create_mask`(input_model[, ...])	Create a mask identifying background pixels.
`background_level`(image, mask[, ...])	Fit a low-resolution background level.
`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.

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

`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.