TY - JOUR
T1 - The SFR-M ∗ Correlation Extends to Low Mass at High Redshift
AU - Iyer, Kartheik
AU - Gawiser, Eric
AU - Davé, Romeel
AU - Davis, Philip
AU - Finkelstein, Steven L.
AU - Kodra, Dritan
AU - Koekemoer, Anton M.
AU - Kurczynski, Peter
AU - Newman, Jeffery A.
AU - Pacifici, Camilla
AU - Somerville, Rachel S.
N1 - Funding Information:
The authors would like to thank the anonymous referee, in addition to Louis Abramson, Matt Ashby, Nimish Hathi, Kameswara Bharadwaj Mantha, Mara Salvato, Chris Lovell, Adriano Fontana, and Yicheng Guo, for their insightful comments and suggestions. The authors acknowledge Steve Finkelstein, Adriano Fontana, Janine Pforr, Mara Salvato, Tommy Wiklind, and Stijn Wuyts for generating the photo-z PDFs for the compilation of zbest in the v2 CANDELS photo-z catalog used in this work. K.I. and E.G. gratefully acknowledge support from Rutgers University. This work used resources from the Rutgers Discovery Informatics Institute, supported by Rutgers and the state of New Jersey. The Flatiron Institute is supported by the Simons Foundation. Support for program No. HST-AR-14564.001-A was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555.
Publisher Copyright:
© 2018. The American Astronomical Society. All rights reserved..
PY - 2018/10/20
Y1 - 2018/10/20
N2 - To achieve a fuller understanding of galaxy evolution, SED fitting can be used to recover quantities beyond stellar masses (M ∗) and star formation rates (SFRs). We use star formation histories (SFHs) reconstructed via the Dense Basis method of Iyer & Gawiser for a sample of 17,873 galaxies at 0.5 < z < 6 in the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey GOODS-S field to study the nature and evolution of the SFR-M ∗ correlation. The reconstructed SFHs represent trajectories in SFR-M ∗ space, enabling us to study galaxies at epochs earlier than observed by propagating them backward in time along these trajectories. We study the SFR-M ∗ correlation at z = 1, 2, 3, 4, 5, 6 using both direct fits to galaxies observed at those epochs and SFR-M ∗ trajectories of galaxies observed at lower redshifts. The SFR-M ∗ correlations obtained using the two approaches are found to be consistent with each other through a K-S test. Validation tests using SFHs from semi-analytic models and cosmological hydrodynamical simulations confirm the sensitivity of the method to changes in the slope, normalization, and shape of the SFR-M ∗ correlation. This technique allows us to further probe the low-mass regime of the correlation at high z by ∼1 dex and over an effective volume of ∼10×larger than possible with just direct fits. We find that the SFR-M ∗ correlation is consistent with being linear down to M ∗ ∼ 106 M o at z > 4. The evolution of the correlation is well described by , where t univ is the age of the universe in Gyr.
AB - To achieve a fuller understanding of galaxy evolution, SED fitting can be used to recover quantities beyond stellar masses (M ∗) and star formation rates (SFRs). We use star formation histories (SFHs) reconstructed via the Dense Basis method of Iyer & Gawiser for a sample of 17,873 galaxies at 0.5 < z < 6 in the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey GOODS-S field to study the nature and evolution of the SFR-M ∗ correlation. The reconstructed SFHs represent trajectories in SFR-M ∗ space, enabling us to study galaxies at epochs earlier than observed by propagating them backward in time along these trajectories. We study the SFR-M ∗ correlation at z = 1, 2, 3, 4, 5, 6 using both direct fits to galaxies observed at those epochs and SFR-M ∗ trajectories of galaxies observed at lower redshifts. The SFR-M ∗ correlations obtained using the two approaches are found to be consistent with each other through a K-S test. Validation tests using SFHs from semi-analytic models and cosmological hydrodynamical simulations confirm the sensitivity of the method to changes in the slope, normalization, and shape of the SFR-M ∗ correlation. This technique allows us to further probe the low-mass regime of the correlation at high z by ∼1 dex and over an effective volume of ∼10×larger than possible with just direct fits. We find that the SFR-M ∗ correlation is consistent with being linear down to M ∗ ∼ 106 M o at z > 4. The evolution of the correlation is well described by , where t univ is the age of the universe in Gyr.
KW - galaxies: evolution
KW - galaxies: star formation
KW - techniques: photometric
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U2 - 10.3847/1538-4357/aae0fa
DO - 10.3847/1538-4357/aae0fa
M3 - Article
AN - SCOPUS:85055489703
VL - 866
JO - Astrophysical Journal
JF - Astrophysical Journal
SN - 0004-637X
IS - 2
M1 - 120
ER -