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SPARCL: SPectra Analysis and Retrievable Catalog Lab

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arxiv 2401.05576 v2 pith:WFQIVIWP submitted 2024-01-10 astro-ph.IM astro-ph.GAastro-ph.SR

Stéphanie 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)
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Knut Olsen (1) ((1) NSF's NOIRLab (2) University of Utah)
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classification astro-ph.IMastro-ph.GAastro-ph.SR
keywords spectrasparclnoirlabspectroscopicanalysiscatalogdatasetsexample
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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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Cited by 4 Pith papers

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  1. AT 2022csn: A Photometrically Peculiar Optical/UV Tidal Disruption Event in a Type II AGN

    astro-ph.HE 2026-08 conditional novelty 6.0 of 10

    AT 2022csn is a luminous optical/UV tidal disruption event with an 18-day double-peaked light curve, low blackbody temperature, and large radius, hosted by a likely Type II AGN.

  2. Generalization from Low- to Moderate-Resolution Spectra with Neural Networks for Stellar Parameter Estimation: A Case Study with DESI

    astro-ph.SR 2026-02 conditional novelty 6.0 of 10

    Pre-trained MLPs on LAMOST low-resolution spectra generalize to DESI medium-resolution spectra for [Fe/H] and [α/Fe], outperforming the DESI SP pipeline in zero-shot and improving with modest fine-tuning.

  3. The Backup Program of the Dark Energy Spectroscopic Instrument's Milky Way Survey

    astro-ph.SR 2025-05 conditional novelty 6.0 of 10

    The Milky Way Backup Program will deliver about 10 million stellar spectra over 21,000 square degrees using less than 9 percent of DESI observing time, roughly doubling the DESI Milky Way Survey sample.

  4. Finetuning Stellar Spectra Foundation Models with LoRA

    astro-ph.IM 2025-07 conditional novelty 4.0 of 10

    With LoRA fine-tuning on 89 labeled DESI stars, SpecCLIP's [Fe/H] scatter on a 396-star test set drops from 0.256 to 0.202 dex for the best configuration.

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