SPARCL: SPectra Analysis and Retrievable Catalog Lab
St\'ephanie Juneau (1), Alice Jacques (1), Steve Pothier (1), Adam S., Bolton (1), Benjamin A. Weaver (1), Ragadeepika Pucha (2), Sean McManus (1),, Robert Nikutta (1), Knut Olsen (1) ((1) NSF's NOIRLab, (2) University of, Utah)

TL;DR
SPARCL is a comprehensive platform at NOIRLab that provides efficient access, querying, and analysis tools for large optical and infrared spectroscopic datasets, supporting over 7.5 million spectra from major surveys.
Contribution
It introduces a unified service and tools for discovering, querying, and retrieving spectra from large datasets, facilitating research in astronomy.
Findings
Contains spectra for over 7.5 million celestial objects
Provides fast web-based access and bulk retrieval of spectra
Includes documentation and Jupyter notebooks for user support
Abstract
SPectra Analysis and Retrievable Catalog Lab (SPARCL) at NOIRLab's Astro Data Lab was created to efficiently serve large optical and infrared spectroscopic datasets. It consists of services, tools, example workflows and currently contains spectra for over 7.5 million stars, galaxies and quasars from the Sloan Digital Sky Survey (SDSS) and the Dark Energy Spectroscopic Instrument (DESI) survey. We aim to eventually support the broad range of spectroscopic datasets that will be hosted at NOIRLab and beyond. Major elements of SPARCL include capabilities to discover and query for spectra based on parameters of interest, a fast web service that delivers desired spectra either individually or in bulk as well as documentation and example Jupyter Notebooks to empower users in their research. More information is available on the SPARCL website (https://astrosparcl.datalab.noirlab.edu).
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Taxonomy
TopicsAstronomical Observations and Instrumentation · Astronomy and Astrophysical Research · Spectroscopy and Chemometric Analyses
