Star formation rates for photometric samples of galaxies using machine learning methods-Reference-Cited by-同舟云学术

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Star formation rates for photometric samples of galaxies using machine learning methods

Published:2019-03-27 Issue:1 Volume:486 Page:1377-1391
ISSN:0035-8711
Container-title:Monthly Notices of the Royal Astronomical Society
language:en
Short-container-title:

Author:

Delli Veneri M¹,Cavuoti S¹²³^ORCID,Brescia M¹^ORCID,Longo G²³,Riccio G¹^ORCID

Affiliation:

1. INAF – Astronomical Observatory of Capodimonte, via Moiariello 16, I-80131, Napoli, Italy

2. Department of Physics ‘E. Pancini’, University Federico II, via Cinthia 6, I-80126, Napoli, Italy

3. INFN section of Naples, via Cinthia 6, I-80126, Napoli, Italy

Funder

Advanced Science Institute

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

http://academic.oup.com/mnras/article-pdf/486/1/1377/28449340/stz856.pdf

Reference53 articles.

1. THE SEVENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY

2. Robust Machine Learning Applied to Astronomical Data Sets. III. Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS andGALEX

3. Star formation rates and stellar masses from machine learning

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