NSClean is an algorithm and associated python package for removing faint vertical banding and ``picture frame noise'' from JWST Near Infrared Spectrograph (NIRSpec) images. NSClean uses known dark areas to fit a background model to each exposure in Fourier space. When the model is subtracted, it removes nearly all correlated noise. Compared to simpler strategies like subtracting the rolling median, NSClean is more thorough and uniform. NSClean is computationally undemanding, requiring only a few seconds to clean an image on a typical laptop. The NSClean package is freely available from the NASA JWST website (https://webb.nasa.gov/content/forScientists/publications.html).
@article{arxiv.2306.03250,
title = {NSClean: An Algorithm for Removing Correlated Noise from JWST NIRSpec Images},
author = {Bernard J. Rauscher},
journal= {arXiv preprint arXiv:2306.03250},
year = {2023}
}
Comments
9 pages, 5 figures, in preparation for an astrophysics journal