HSC-CLAUDS survey: The star formation rate functions since z  ∼  2 and comparison with hydrodynamical simulations

被引:3
作者
Picouet, V. [1 ,2 ]
Arnouts, S. [1 ]
Le Floc'h, E. [3 ]
Moutard, T. [1 ]
Kraljic, K. [1 ,4 ]
Ilbert, O. [1 ]
Sawicki, M. [5 ,6 ]
Desprez, G. [5 ,6 ]
Laigle, C. [7 ]
Schiminovich, D. [2 ]
de la Torre, S. [1 ]
Gwyn, S. [8 ]
McCracken, H. J. [7 ]
Dubois, Y. [7 ]
Dave, R. [9 ,10 ,11 ]
Toft, S. [12 ,13 ]
Weaver, J. R. [14 ]
Shuntov, M. [12 ]
Kauffmann, O. B. [1 ]
机构
[1] Aix Marseille Univ, CNRS, CNES, LAM, Marseille, France
[2] Columbia Univ, Dept Astron, 550 W 120th St, New York, NY 10027 USA
[3] Univ Paris Diderot, Serv Astrophys, Lab AIM, CEA,CEA Saclay,DSM,CNRS,IRFU, Bat 709, F-91191 Gif Sur Yvette, France
[4] Univ Strasbourg, CNRS, UMR 7550, Observ Astron Strasbourg, F-67000 Strasbourg, France
[5] St Marys Univ, Dept Astron & Phys, 923 Robie St, Halifax, NS B3H 3C3, Canada
[6] St Marys Univ, Inst Computat Astrophys, 923 Robie St, Halifax, NS B3H 3C3, Canada
[7] UPMC Univ Paris VI, Inst Astrophys Paris, CNRS, UMR 7095, 98 Bis Blvd Arago, F-75014 Paris, France
[8] Natl Res Council Canada, Herzberg Astron & Astrophys, 5071 West Saanich Rd, Victoria, BC V9E 2E7, Canada
[9] Univ Edinburgh, Inst Astron, Royal Observ, Blackford Hill, Edinburgh EH9 3HJ, Scotland
[10] Univ Western Cape, ZA-7535 Cape Town, South Africa
[11] South African Astron Observ, ZA-7925 Cape Town, South Africa
[12] Cosm Dawn Ctr DAWN, Copenhagen, Denmark
[13] Univ Copenhagen, Niels Bohr Inst, Jagtvej 128, DK-2200 Copenhagen, Denmark
[14] Univ Massachusetts, Dept Astron, Amherst, MA 01003 USA
基金
日本科学技术振兴机构; 日本学术振兴会; 新加坡国家研究基金会;
关键词
galaxies; evolution; star formation; statistics; surveys; ultraviolet; infrared; FORMATION RATE DENSITY; INFRARED LUMINOSITY FUNCTIONS; SPECTRAL ENERGY-DISTRIBUTION; GALACTIC NUCLEUS FEEDBACK; SUPERMASSIVE BLACK-HOLES; DEBLENDED DUST EMISSION; SIMILAR-TO; GALAXY FORMATION; FORMING GALAXIES; STELLAR MASS;
D O I
10.1051/0004-6361/202245756
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Context. Star formation rate functions (SFRFs) give an instantaneous view of the distribution of star formation rates (SFRs) in galaxies at different epochs. They are a complementary and more stringent test for models than the galaxy stellar mass function, which gives an integrated view of the past star formation activity. However, the exploration of SFRFs has been limited thus far due to difficulties in assessing the SFR from observed quantities and probing the SFRF over a wide range of SFRs.Aims. We overcome these limitations thanks to an original method that predicts the infrared luminosity from the rest-frame UV/optical color of a galaxy and then its SFR over a wide range of stellar masses and redshifts. We applied this technique to the deep imaging survey HSC-CLAUDS combined with near-infrared and UV photometry. We provide the first SFR functions with reliable measurements in the high- and low-SFR regimes up to z  = 2 and compare our results with previous observations and four state-of-the-art hydrodynamical simulations.Methods. The SFR estimates are based on the calibration of the infrared excess (IRX  = L-IR/L-UV) in the NUVrK color-color diagram. We improved upon the original calibration in the COSMOS field by incorporating Herschel photometry, which allowed us to extend the analysis to higher redshifts and to galaxies with lower stellar masses using stacking techniques. Our NrK method leads to an accuracy of individual SFR estimates of & sigma; & SIM; 0.25 dex. We show that it reproduces the evolution of the main sequence up to z  = 2 and the behavior of the attenuation (or & LeftAngleBracket;IRX & RightAngleBracket;) with stellar mass. In addition to the known lack of evolution of this relation up to z  = 2 for galaxies with M-⋆ & LE; 10(10.3) M-& ODOT;, we observe a plateau in & LeftAngleBracket;IRX & RightAngleBracket; at higher stellar masses that depends on redshift.Results. We measure the SFR functions and cosmic SFR density up to z  = 2 for a mass-selected star-forming galaxy sample (with a mass limit of M-⋆ & GE; 2.10(9) M-& ODOT; at z  = 2). The SFR functions cover a wide range of SFRs (0.01 & LE; SFR & LE; 1000 M-& ODOT; yr(-1)), providing good constraints on their shapes. They are well fitted by a Schechter function after accounting for the Eddington bias. The high-SFR tails match the far-infrared observations well, and show a strong redshift evolution of the Schechter parameter, SFR ⋆, as log(10)(SFR ⋆) = 5.8z + 0.76. The slope of the SFR functions, & alpha;, shows almost no evolution up to z  = 1.5 - 2 with & alpha; = -1.3 & PLUSMN; 0.1. We compare the SFR functions with predictions from four state-of-the-art hydrodynamical simulations. Significant differences are observed between them, and none of the simulations are able to reproduce the observed SFRFs over the whole redshift and SFR range. We find that only one simulation is able to predict the fraction of highly star-forming galaxies at high z, 1  & LE; z  & LE; 2. This highlights the benefits of using SFRFs as a constraint that can be reproduced by simulations; however, despite efforts to incorporate more physically motivated prescriptions for star-formation and feedback processes, its use remains challenging.
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