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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
SDSS-IV MaNGA - An archaeological view of the cosmic star formation history
Monthly Notices of the Royal Astronomical Society, Volume 482, No. 2, Year 2019
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Description
We present the results of the archaeological analysis of the stellar populations of a sample of ~4000 galaxies observed by the SDSS-IVMaNGAsurvey using PIPE3D. Based on this analysis we extract a sample of ~150 000 star formation rates (SFRs) and stellar masses that mimic a single cosmological survey covering the redshift range between z ~ 0 and z ~ 7. We confirm that the star-forming main sequence holds as a tight relation in this range of redshifts, evolving in both the zero-point and slope. This evolution is different for local star-forming (SFGs) and retired (RGs) galaxies, with the latter presenting a stronger evolution in the zero-point and a weaker evolution in the slope. The fraction of RGs decreases rapidly with z, particularly for RGs at z ~ 0. We detect RGs well above z > 1, although not all of them are progenitors of local RGs. Finally, adopting the required corrections to make the survey complete in mass in a limited volume, we recover the cosmic SFR, stellar-mass density, and average specific SFR histories of the Universe in this wide range of look-back times. Our derivations agree with those reported by various cosmological surveys. We demonstrate that the progenitors of local RGs were more actively forming stars in the past, contributing to most of the cosmic SFR density at z > 0.5, and to most of the cosmic stellar-mass density at any redshift. They suffer a general quenching in the SFR at z ~ 0.35. Below this redshift the progenitors of local SFGs dominate the SFR density of the Universe. © 2018 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society.
Authors & Co-Authors
Sánchez, Sebastián F.
Mexico, Mexico
Universidad Nacional Autónoma de México
Avila-Reese, Vladimir
Mexico, Mexico
Universidad Nacional Autónoma de México
Rodríguez-Puebla, Aldo
Mexico, Mexico
Universidad Nacional Autónoma de México
Ibarra-Medel, Héctor J.
Mexico, Mexico
Universidad Nacional Autónoma de México
Bershady, Matthew A.
United States, Madison
University of Wisconsin-madison
Hernández Toledo, Hector M.
Mexico, Mexico
Universidad Nacional Autónoma de México
Pan, Kaike
United States, Las Cruces
New Mexico State University
Bizyaev, Dmitry Anatolevich
Russian Federation, Moscow
Lomonosov Moscow State University
Statistics
Citations: 61
Authors: 8
Affiliations: 4
Identifiers
Doi:
10.1093/mnras/sty2730
ISSN:
00358711
Study Design
Cross Sectional Study
Study Approach
Quantitative