CASSISjuice: open-source pipeline and offline complete atlas of Spitzer/IRS staring observations

TL;DR

CASSISjuice is an open-source, offline pipeline and complete atlas of Spitzer/IRS staring observations, enhancing data processing and accessibility for astrophysical research, especially for large sample analysis.

Contribution

It introduces an updated, comprehensive offline pipeline and atlas for Spitzer/IRS data, including sources previously unprocessed, with improved processing capabilities and open-source tools.

Findings

Processed all IRS staring mode observations including new sources.

Updated pipelines to version 2 for better data handling.

Provided open-source code and notebooks for community use.

Abstract

Mid-infrared spectroscopy provides many important diagnostics on gas and dust features in a wide variety of astrophysical objects. The Spitzer Infrared Spectrograph observed more than 20000 targets with wavelengths as low as 5.2um and as long as 38um, thereby complementing JWST/MIRI data for long wavelength diagnostics and providing overall invaluable diagnostics together with JWST or in view of future IR facilities. In order to maximize the science output of Spitzer/IRS, the CASSIS atlas has provided reduced IRS spectra since 2011, extracting and selecting the best spectrum from various methods. We now present CASSISjuice, an offline version of the pipeline and atlas, adding several hundred sources that had never cleared the pipeline in order to make it complete for the first time. We updated the low- and high-resolution pipelines in order to be able to process every IRS staring mode observation (i.e., all observations but maps), and we also upgraded the high-resolution pipeline to version 2. The new pipeline also associates the pointings within "cluster" observations resulting in a single spectrum (possibly low- and high-resolution) per position and therefore overall a single CASSISjuice ID per targeted position. The initial repositories are hosted at Zenodo, providing the open-source pipeline code and the atlas itself with specific attention to producing the smallest dataset possible. Version controlled repositories are also available at GitLab, including Python notebooks to illustrate the offline manipulation of the full atlas. The offline CASSISjuice atlas is meant to facilitate the analysis of large samples and the ident