Outlier Detection Utils

stcal.outlier_detection.median Module

Compute median of large datasets in memory- and runtime-efficient ways.

nanmedian3D(cube[, overwrite_input])

Compute the nanmedian of a cube.

MedianComputer(full_shape, in_memory[, ...])

Class to efficiently compute a median.

Utility functions for outlier detection routines.

`medfilt`(arr, kern_size)	Median filter.
`compute_weight_threshold`(weight, maskpt)	Compute the weight threshold for a single image or cube.
`flag_crs`(sci_data, sci_err, blot_data, snr)	Flag outliers.
`flag_resampled_crs`(sci_data, sci_err, ...)	Detect outliers (CRs) using resampled reference data.
`gwcs_blot`(median_data, median_wcs, ...[, ...])	Resample the median data to recreate an input image based on the blot wcs.