CASSIS: The Cornell Atlas of Spitzer/IRS Sources
V. Lebouteiller, D.J. Barry, H.W.W. Spoon, J. Bernard-Salas, G.C., Sloan, J.R. Houck, D.W. Weedman

TL;DR
CASSIS offers a comprehensive spectral atlas of over 11,000 sources observed with Spitzer/IRS, providing high-quality spectra, diagnostics, and ancillary data through an accessible online database for astronomical research.
Contribution
This work introduces a new, extensive spectral atlas with optimized extraction algorithms and an online platform for analyzing low-resolution Spitzer/IRS data, enhancing data accessibility and quality.
Findings
Over 11,000 high-quality spectra available online
Optimized extraction improves signal-to-noise ratio
Includes diagnostics and ancillary data for each source
Abstract
We present the spectral atlas of sources observed in low resolution with the Infrared Spectrograph on board the Spitzer Space Telescope. More than 11,000 distinct sources were extracted using a dedicated algorithm based on the SMART software with an optimal extraction (AdOpt package). These correspond to all 13,000 low resolution observations of fixed objects (both single source and cluster observations). The pipeline includes image cleaning, individual exposure combination, and background subtraction. A particular attention is given to bad pixel and outlier rejection at the image and spectra levels. Most sources are spatially unresolved so that optimal extraction reaches the highest possible signal-to-noise ratio. For all sources, an alternative extraction is also provided that accounts for all of the source flux within the aperture. CASSIS provides publishable quality spectra through…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
