Synthesizing Stellar Populations in South Pole Telescope Galaxy Clusters: I. Ages of Quiescent Member Galaxies at 0.3 < z < 1.4
Using stellar population synthesis models to infer star formation histories (SFHs), we analyse photometry and spectroscopy of a large sample of quiescent galaxies which are members of Sunyaev-Zel'dovich (SZ)-selected galaxy clusters across a wide range of redshifts. We calculate stellar masses...
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Online Access: | https://dx.doi.org/10.48550/arxiv.2111.09318 https://arxiv.org/abs/2111.09318 |
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ftdatacite:10.48550/arxiv.2111.09318 2023-05-15T18:23:14+02:00 Synthesizing Stellar Populations in South Pole Telescope Galaxy Clusters: I. Ages of Quiescent Member Galaxies at 0.3 < z < 1.4 Khullar, Gourav Bayliss, Matthew B. Gladders, Michael D. Kim, Keunho J. Calzadilla, Michael S Strazzullo, Veronica Bleem, Lindsey E. Mahler, Guillaume McDonald, Michael Floyd, Benjamin Reichardt, Christian L. Ruppin, Florian Saro, Alexandro Sharon, Keren Somboonpanyakul, Taweewat Stalder, Brian Stark, Antony A. 2021 https://dx.doi.org/10.48550/arxiv.2111.09318 https://arxiv.org/abs/2111.09318 unknown arXiv Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Astrophysics of Galaxies astro-ph.GA FOS Physical sciences Article CreativeWork article Preprint 2021 ftdatacite https://doi.org/10.48550/arxiv.2111.09318 2022-03-10T13:34:52Z Using stellar population synthesis models to infer star formation histories (SFHs), we analyse photometry and spectroscopy of a large sample of quiescent galaxies which are members of Sunyaev-Zel'dovich (SZ)-selected galaxy clusters across a wide range of redshifts. We calculate stellar masses and mass-weighted ages for 837 quiescent cluster members at 0.3 < z < 1.4 using rest-frame optical spectra and the Python-based Prospector framework, from 61 clusters in the SPT-GMOS Spectroscopic Survey (0.3 < z < 0.9) and 3 clusters in the SPT Hi-z cluster sample (1.25 < z < 1.4). We analyse spectra of subpopulations divided into bins of redshift, stellar mass, cluster mass, and velocity-radius phase-space location, as well as by creating composite spectra of quiescent member galaxies. We find that quiescent galaxies in our dataset sample a diversity of SFHs, with a median formation redshift (corresponding to the lookback time from the redshift of observation to when a galaxy forms 50% of its mass, t$_{50}$) of $z=2.8\pm0.5$, which is similar to or marginally higher than that of massive quiescent field and cluster galaxy studies. We also report median age-stellar mass relations for the full sample (age of the Universe at $t_{50}$ (Gyr) = $2.52 (\pm0.04) - 1.66 (\pm0.11)$ log$_{10}(M/10^{11} M\odot))$ and recover downsizing trends across stellar mass; we find that massive galaxies in our cluster sample form on aggregate $\sim0.75$ Gyr earlier than lower mass galaxies. We also find marginally steeper age-mass relations at high redshifts, and report a bigger difference in formation redshifts across stellar mass for fixed environment, relative to formation redshifts across environment for fixed stellar mass. : 35 pages, 23 figures, 5 tables. Submitted to The Astrophysical Journal. Comments and feedback welcome Article in Journal/Newspaper South pole DataCite Metadata Store (German National Library of Science and Technology) South Pole |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Astrophysics of Galaxies astro-ph.GA FOS Physical sciences |
spellingShingle |
Astrophysics of Galaxies astro-ph.GA FOS Physical sciences Khullar, Gourav Bayliss, Matthew B. Gladders, Michael D. Kim, Keunho J. Calzadilla, Michael S Strazzullo, Veronica Bleem, Lindsey E. Mahler, Guillaume McDonald, Michael Floyd, Benjamin Reichardt, Christian L. Ruppin, Florian Saro, Alexandro Sharon, Keren Somboonpanyakul, Taweewat Stalder, Brian Stark, Antony A. Synthesizing Stellar Populations in South Pole Telescope Galaxy Clusters: I. Ages of Quiescent Member Galaxies at 0.3 < z < 1.4 |
topic_facet |
Astrophysics of Galaxies astro-ph.GA FOS Physical sciences |
description |
Using stellar population synthesis models to infer star formation histories (SFHs), we analyse photometry and spectroscopy of a large sample of quiescent galaxies which are members of Sunyaev-Zel'dovich (SZ)-selected galaxy clusters across a wide range of redshifts. We calculate stellar masses and mass-weighted ages for 837 quiescent cluster members at 0.3 < z < 1.4 using rest-frame optical spectra and the Python-based Prospector framework, from 61 clusters in the SPT-GMOS Spectroscopic Survey (0.3 < z < 0.9) and 3 clusters in the SPT Hi-z cluster sample (1.25 < z < 1.4). We analyse spectra of subpopulations divided into bins of redshift, stellar mass, cluster mass, and velocity-radius phase-space location, as well as by creating composite spectra of quiescent member galaxies. We find that quiescent galaxies in our dataset sample a diversity of SFHs, with a median formation redshift (corresponding to the lookback time from the redshift of observation to when a galaxy forms 50% of its mass, t$_{50}$) of $z=2.8\pm0.5$, which is similar to or marginally higher than that of massive quiescent field and cluster galaxy studies. We also report median age-stellar mass relations for the full sample (age of the Universe at $t_{50}$ (Gyr) = $2.52 (\pm0.04) - 1.66 (\pm0.11)$ log$_{10}(M/10^{11} M\odot))$ and recover downsizing trends across stellar mass; we find that massive galaxies in our cluster sample form on aggregate $\sim0.75$ Gyr earlier than lower mass galaxies. We also find marginally steeper age-mass relations at high redshifts, and report a bigger difference in formation redshifts across stellar mass for fixed environment, relative to formation redshifts across environment for fixed stellar mass. : 35 pages, 23 figures, 5 tables. Submitted to The Astrophysical Journal. Comments and feedback welcome |
format |
Article in Journal/Newspaper |
author |
Khullar, Gourav Bayliss, Matthew B. Gladders, Michael D. Kim, Keunho J. Calzadilla, Michael S Strazzullo, Veronica Bleem, Lindsey E. Mahler, Guillaume McDonald, Michael Floyd, Benjamin Reichardt, Christian L. Ruppin, Florian Saro, Alexandro Sharon, Keren Somboonpanyakul, Taweewat Stalder, Brian Stark, Antony A. |
author_facet |
Khullar, Gourav Bayliss, Matthew B. Gladders, Michael D. Kim, Keunho J. Calzadilla, Michael S Strazzullo, Veronica Bleem, Lindsey E. Mahler, Guillaume McDonald, Michael Floyd, Benjamin Reichardt, Christian L. Ruppin, Florian Saro, Alexandro Sharon, Keren Somboonpanyakul, Taweewat Stalder, Brian Stark, Antony A. |
author_sort |
Khullar, Gourav |
title |
Synthesizing Stellar Populations in South Pole Telescope Galaxy Clusters: I. Ages of Quiescent Member Galaxies at 0.3 < z < 1.4 |
title_short |
Synthesizing Stellar Populations in South Pole Telescope Galaxy Clusters: I. Ages of Quiescent Member Galaxies at 0.3 < z < 1.4 |
title_full |
Synthesizing Stellar Populations in South Pole Telescope Galaxy Clusters: I. Ages of Quiescent Member Galaxies at 0.3 < z < 1.4 |
title_fullStr |
Synthesizing Stellar Populations in South Pole Telescope Galaxy Clusters: I. Ages of Quiescent Member Galaxies at 0.3 < z < 1.4 |
title_full_unstemmed |
Synthesizing Stellar Populations in South Pole Telescope Galaxy Clusters: I. Ages of Quiescent Member Galaxies at 0.3 < z < 1.4 |
title_sort |
synthesizing stellar populations in south pole telescope galaxy clusters: i. ages of quiescent member galaxies at 0.3 < z < 1.4 |
publisher |
arXiv |
publishDate |
2021 |
url |
https://dx.doi.org/10.48550/arxiv.2111.09318 https://arxiv.org/abs/2111.09318 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.48550/arxiv.2111.09318 |
_version_ |
1766202790533660672 |