Analysis of the SFR - M* plane at z\textless3: single fitting versus multi-Gaussian decomposition. Bisigello, L., Caputi, K. I., Grogin, N., & Koekemoer, A. ArXiv e-prints, 1706:arXiv:1706.06154, June, 2017.
Paper abstract bibtex The analysis of galaxies on the SFR-M* plane is a powerful diagnostic for galaxy evolution at different cosmic times. We considered a sample of 24463 galaxies from the CANDELS/GOODS-S survey to conduct a detailed analysis of the SFR-M* relation at redshifts 0.5\${\textbackslash}leqslant z{\textless}\$3 over more than three dex in stellar mass. To obtain SFR estimates, we utilized mid- and far-IR photometry when available, and rest-UV fluxes for all the other galaxies. We performed our analysis in different redshift bins, with two different methods: 1) a linear regression fitting of all star-forming galaxies, defined as those with specific star formation rates \${\textbackslash}rm log_\{10\}(sSFR/yr{\textasciicircum}\{-1\}) {\textgreater} -9.8\$, similarly to what is typically done in the literature; 2) a multi-Gaussian decomposition to identify the galaxy main sequence (MS), the starburst sequence and the quenched galaxy cloud. We found that the MS slope becomes flatter when higher stellar mass cuts are adopted, and that the apparent slope change observed at high masses depends on the SFR estimation method. In addition, the multi-Gaussian decomposition reveals the presence of a starburst population which increases towards low stellar masses and high redshifts. We found that starbursts make \textasciitilde5% of all galaxies at z=0.5-1.0, while they account for \textasciitilde14% of galaxies at 1
@article{bisigello_analysis_2017,
title = {Analysis of the {SFR} - {M}* plane at z{\textless}3: single fitting versus multi-{Gaussian} decomposition},
volume = {1706},
shorttitle = {Analysis of the {SFR} - {M}* plane at z{\textless}3},
url = {http://adsabs.harvard.edu/abs/2017arXiv170606154B},
abstract = {The analysis of galaxies on the SFR-M* plane is a powerful diagnostic
for galaxy evolution at different cosmic times. We considered a sample
of 24463 galaxies from the CANDELS/GOODS-S survey to conduct a detailed
analysis of the SFR-M* relation at redshifts 0.5\${\textbackslash}leqslant z{\textless}\$3 over
more than three dex in stellar mass. To obtain SFR estimates, we
utilized mid- and far-IR photometry when available, and rest-UV fluxes
for all the other galaxies. We performed our analysis in different
redshift bins, with two different methods: 1) a linear regression
fitting of all star-forming galaxies, defined as those with specific
star formation rates \${\textbackslash}rm log\_\{10\}(sSFR/yr{\textasciicircum}\{-1\}) {\textgreater} -9.8\$, similarly
to what is typically done in the literature; 2) a multi-Gaussian
decomposition to identify the galaxy main sequence (MS), the starburst
sequence and the quenched galaxy cloud. We found that the MS slope
becomes flatter when higher stellar mass cuts are adopted, and that the
apparent slope change observed at high masses depends on the SFR
estimation method. In addition, the multi-Gaussian decomposition reveals
the presence of a starburst population which increases towards low
stellar masses and high redshifts. We found that starbursts make {\textasciitilde}5\% of
all galaxies at z=0.5-1.0, while they account for {\textasciitilde}14\% of galaxies at
1},
journal = {ArXiv e-prints},
author = {Bisigello, L. and Caputi, K. I. and Grogin, N. and Koekemoer, A.},
month = jun,
year = {2017},
keywords = {Astrophysics - Astrophysics of Galaxies},
pages = {arXiv:1706.06154},
}
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To obtain SFR estimates, we utilized mid- and far-IR photometry when available, and rest-UV fluxes for all the other galaxies. We performed our analysis in different redshift bins, with two different methods: 1) a linear regression fitting of all star-forming galaxies, defined as those with specific star formation rates \\${\\textbackslash}rm log_\\{10\\}(sSFR/yr{\\textasciicircum}\\{-1\\}) {\\textgreater} -9.8\\$, similarly to what is typically done in the literature; 2) a multi-Gaussian decomposition to identify the galaxy main sequence (MS), the starburst sequence and the quenched galaxy cloud. We found that the MS slope becomes flatter when higher stellar mass cuts are adopted, and that the apparent slope change observed at high masses depends on the SFR estimation method. In addition, the multi-Gaussian decomposition reveals the presence of a starburst population which increases towards low stellar masses and high redshifts. 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We considered a sample\nof 24463 galaxies from the CANDELS/GOODS-S survey to conduct a detailed\nanalysis of the SFR-M* relation at redshifts 0.5\\${\\textbackslash}leqslant z{\\textless}\\$3 over\nmore than three dex in stellar mass. To obtain SFR estimates, we\nutilized mid- and far-IR photometry when available, and rest-UV fluxes\nfor all the other galaxies. We performed our analysis in different\nredshift bins, with two different methods: 1) a linear regression\nfitting of all star-forming galaxies, defined as those with specific\nstar formation rates \\${\\textbackslash}rm log\\_\\{10\\}(sSFR/yr{\\textasciicircum}\\{-1\\}) {\\textgreater} -9.8\\$, similarly\nto what is typically done in the literature; 2) a multi-Gaussian\ndecomposition to identify the galaxy main sequence (MS), the starburst\nsequence and the quenched galaxy cloud. 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