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Astrophysics> Cosmology and Nongalactic Astrophysics

arXiv:1612.09263 (astro-ph)
[Submitted on 29 Dec 2016]

Title:Redshift-Independent Distances in the NASA/IPAC Extragalactic Database: Methodology, Content and Use of NED-D

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Abstract:Estimates of galaxy distances based on indicators that are independent of cosmological redshift are fundamental to astrophysics. Researchers use them to establish the extragalactic distance scale, to underpin estimates of the Hubble constant, and to study peculiar velocities induced by gravitational attractions that perturb the motions of galaxies with respect to the Hubble flow of universal expansion. In 2006 the NASA/IPAC Extragalactic Database (NED) began making available a comprehensive compilation of redshift-independent extragalactic distance estimates. A decade later, this compendium of distances (NED-D) now contains more than 100,000 individual estimates based on primary and secondary indicators, available for more than 28,000 galaxies, and compiled from over 2,000 references in the refereed astronomical literature. This article describes the methodology, content, and use of NED-D, and addresses challenges to be overcome in compiling such distances. Currently, 75 different distance indicators are in use. We include a figure that facilitates comparison of the indicators with significant numbers of estimates in terms of the minimum, 25th percentile, median, 75th percentile, and maximum distances spanned. Brief descriptions of the indicators, including examples of their use in the database, are given in an Appendix.
Comments: online version (of record) published Thursday, 29 December, 2016
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO); Astrophysics of Galaxies (astro-ph.GA)
Cite as: arXiv:1612.09263 [astro-ph.CO]
(or arXiv:1612.09263v1 [astro-ph.CO] for this version)
https://doi.org/10.48550/arXiv.1612.09263
Journal reference: The Astronomical Journal, 153:37 (20pp), 2017 January
Related DOI: https://doi.org/10.3847/1538-3881/153/1/37

Submission history

From: Ian Steer [view email]
[v1] 2016年12月29日 19:43:47 UTC (2,538 KB)
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