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First Data Release of the All-sky NOAO Source Catalog

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arxiv 1801.01885 v2 pith:ACZEIZ3L submitted 2018-01-05 astro-ph.GA

classification astro-ph.GA
keywords catalogdatanoaobillionsourceavailablebeendegrees
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Most of the sky has been imaged with NOAO's telescopes from both hemispheres. While the large majority of these data were obtained for PI-led projects and almost all of the images are publicly available, only a small fraction have been released to the community via well-calibrated and easily accessible catalogs. We are remedying this by creating a catalog of sources from most of the public data taken on the CTIO-4m+DECam and the KPNO-4m+Mosaic3. This catalog, called the NOAO Source Catalog (NSC), contains over 2.9 billion unique objects, 34 billion individual source measurements, covers ~30,000 square degrees of the sky, has depths of ~23rd magnitude in most broadband filters with ~1-2% photometric precision, and astrometric accuracy of ~7 mas. In addition, ~2 billion objects and ~21,000 square degrees of sky have photometry in three or more bands. The NSC will be useful for exploring stellar streams, dwarf satellite galaxies, QSOs, high-proper motion stars, variable stars and other transients. The NSC catalog is publicly available via the NOAO Data Lab service.

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Cited by 2 Pith papers

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  1. Integral field spectroscopy with no IFUs: combining wide-field rotational slitless spectroscopy with tomographic reconstruction

    astro-ph.IM 2026-05 unverdicted novelty 7.0 of 10

    ROSSINI achieves integral field spectroscopy without IFUs via rotational slitless imaging combined with tomographic reconstruction, recovering input datacubes to percent-level accuracy in numerical simulations.

  2. Integral field spectroscopy with no IFUs: combining wide-field rotational slitless spectroscopy with tomographic reconstruction

    astro-ph.IM 2026-05 unverdicted novelty 6.0 of 10

    ROSSINI achieves integral field spectroscopy without IFUs through rotational slitless spectroscopy combined with tomographic reconstruction, recovering input datacubes to percent accuracy in numerical simulations.

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