PHANGS-JWST: Data Processing Pipeline and First Full Public Data Release
Thomas G. Williams, Janice C. Lee, Kirsten L. Larson, Adam K. Leroy,, Karin Sandstrom, Eva Schinnerer, David A. Thilker, Francesco Belfiore, Oleg, V. Egorov, Erik Rosolowsky, Jessica Sutter, Joseph DePasquale, Alyssa Pagan,, Travis A. Berger, Gagandeep S. Anand, Ashley T. Barnes

TL;DR
This paper introduces pjpipe, a new data processing pipeline for JWST observations, and presents the first public data release of processed images for nineteen nearby galaxies, enhancing data quality and accessibility.
Contribution
The paper develops and releases pjpipe, an improved image processing pipeline for JWST data, and provides the first comprehensive public data release for the PHANGS-JWST program.
Findings
pjpipe improves noise removal and astrometry calibration for JWST data.
Smoothing MIRI data reduces noise by approximately threefold.
First public release of multi-band JWST imaging for nineteen galaxies.
Abstract
The exquisite angular resolution and sensitivity of JWST is opening a new window for our understanding of the Universe. In nearby galaxies, JWST observations are revolutionizing our understanding of the first phases of star formation and the dusty interstellar medium. Nineteen local galaxies spanning a range of properties and morphologies across the star-forming main sequence have been observed as part of the PHANGS-JWST Cycle 1 Treasury program at spatial scales of 5-50pc. Here, we describe pjpipe, an image processing pipeline developed for the PHANGS-JWST program that wraps around and extends the official JWST pipeline. We release this pipeline to the community as it contains a number of tools generally useful for JWST NIRCam and MIRI observations. Particularly for extended sources, pjpipe products provide significant improvements over mosaics from the MAST archive in terms of…
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Taxonomy
TopicsComputational Physics and Python Applications
