Stellar Properties of z ~ 8 Galaxies in the Reionization Lensing Cluster Survey
Victoria Strait, Marusa Bradac, Dan Coe, Larry Bradley, Brett Salmon,, Brian C. Lemaux, Kuang-Han Huang, Adi Zitrin, Keren Sharon, Ana Acebron,, Felipe Andrade-Santos, Roberto J. Avila, Brenda L. Frye, Austin Hoag,, Guillaume Mahler, Mario Nonino, Sara Ogaz, Masamune Oguri

TL;DR
This study analyzes high-redshift galaxies at z~8 using HST and Spitzer data, revealing diverse stellar properties and evidence of early star formation, with some galaxies showing evolved stellar populations just 100 million years after the Big Bang.
Contribution
It incorporates Spitzer/IRAC imaging into spectral energy distribution fitting for z~8 galaxy candidates, providing new insights into their stellar masses, ages, and star formation histories.
Findings
Most z~8 candidates are confirmed at high redshift after Spitzer data inclusion.
Detected evolved stellar populations in some galaxies imply early star formation within 100 Myr of the Big Bang.
Deep Spitzer data supports the high-redshift nature of a z~10 candidate.
Abstract
Measurements of stellar properties of galaxies when the universe was less than one billion years old yield some of the only observational constraints of the onset of star formation. We present here the inclusion of \textit{Spitzer}/IRAC imaging in the spectral energy distribution fitting of the seven highest-redshift galaxy candidates selected from the \emph{Hubble Space Telescope} imaging of the Reionization Lensing Cluster Survey (RELICS). We find that for 6/8 \textit{HST}-selected sources, the solutions are still strongly preferred over 1-2 solutions after the inclusion of \textit{Spitzer} fluxes, and two prefer a solution, which we defer to a later analysis. We find a wide range of intrinsic stellar masses ( -- ), star formation rates (0.2-14 ), and ages (30-600 Myr) among…
| Object ID | R.A. | Dec. | Ks | |||||
|---|---|---|---|---|---|---|---|---|
| (deg.) | (deg.) | (mag) | (mag) | (mag) | (mag) | |||
| Abell1763-1434 | 203.8333744 | +40.9901793 | 0.29 | 0.28 | ||||
| Abell1763-0460 | 203.8249758 | +41.0091170 | 25.9 | 0.37 | 0.39 | |||
| MACS0553-33-0219 | 88.3540349 | -33.6979484 | 0.34 | 0.34 | ||||
| PLCKG287+32-2032 | 177.7225936 | -28.0850703 | 26.6 | 0.53 | 26.4 | 0.59 | ||
| SPT0615-JD | 93.9792550 | -57.7721477 | 1.43 | 1.13 | ||||
| RXC0911+17-0143 | 137.7939712 | +17.7897516 | 26.4 | 0.05 | 26.1 | 0.04 | ||
| AbellS295-0568 | 41.4010242 | -53.0405184 | 26.2 | 0.16 | 26.3 | 0.14 |
| Object ID | |||||||
|---|---|---|---|---|---|---|---|
| () | () | (Myr) | () | (mag) | |||
| Abell1763-1434 | |||||||
| MACS0553-33-219 | |||||||
| PLCKG287+32-2032 | |||||||
| SPT0615-JD | |||||||
| RXC0911+17-0143 | |||||||
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Stellar Properties of Galaxies in the Reionization Lensing Cluster Survey
Victoria Strait11affiliationmark:
Maruša Bradač11affiliationmark:
Dan Coe22affiliationmark:
Larry Bradley22affiliationmark:
Brett Salmon22affiliationmark:
Brian C. Lemaux11affiliationmark:
Kuang-Han Huang11affiliationmark:
Adi Zitrin33affiliationmark:
Keren Sharon44affiliationmark:
Ana Acebron33affiliationmark:
Felipe Andrade-Santos55affiliationmark:
Roberto J. Avila22affiliationmark:
Brenda L. Frye66affiliationmark:
Austin Hoag77affiliationmark:
Guillaume Mahler44affiliationmark:
Mario Nonino88affiliationmark:
Sara Ogaz22affiliationmark:
Masamune Oguri99affiliationmark: 1010affiliationmark: 1111affiliationmark:
Masami Ouchi1111affiliationmark: 1212affiliationmark:
Rachel Paterno-Mahler1313affiliationmark:
Debora Pelliccia11affiliationmark: 1414affiliationmark:
11affiliationmark: Physics Department, University of California, Davis, CA 95616, USA
22affiliationmark: Space Telescope Science Institute, Baltimore, MD 21218, USA
33affiliationmark: Department of Physics, Ben-Gurion University, Be’er-Sheva 84105, Israel
44affiliationmark: Department of Astronomy, University of Michigan, 1085 South University Ave, Ann Arbor, MI 48109, USA
55affiliationmark: Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA
66affiliationmark: Department of Astronomy, Steward Observatory, University of Arizona, 933 North Cherry Avenue, Tucson, AZ, 85721, USA
77affiliationmark: Department of Physics and Astronomy, University of California, Los Angeles, CA 90095-1547, USA
88affiliationmark: INAF – Osservatorio Astronomico di Trieste, via G. B. Tiepolo 11, I-34131 Trieste, Italy
99affiliationmark: Research Center for the Early Universe, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
1010affiliationmark: Department of Physics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
1111affiliationmark: Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), University of Tokyo, Kashiwa, Chiba 277-8583, Japan
1212affiliationmark: Institute for Cosmic Ray Research, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8582, Japan
1313affiliationmark: WM Keck Science Center, 925 N. Mills Avenue, Claremont, CA 91711
1414affiliationmark: Department of Physics and Astronomy, University of California, Riverside, CA 92521, USA
Abstract
Measurements of stellar properties of galaxies when the universe was less than one billion years old yield some of the only observational constraints of the onset of star formation. We present here the inclusion of Spitzer/IRAC imaging in the spectral energy distribution fitting of the seven highest-redshift galaxy candidates selected from the Hubble Space Telescope imaging of the Reionization Lensing Cluster Survey (RELICS). We find that for 6/8 HST-selected sources, the solutions are still strongly preferred over 1-2 solutions after the inclusion of Spitzer fluxes, and two prefer a solution, which we defer to a later analysis. We find a wide range of intrinsic stellar masses ( – ), star formation rates (0.2-14 ), and ages (30-600 Myr) among our sample. Of particular interest is Abell1763-1434, which shows evidence of an evolved stellar population at , implying its first generation of star formation occurred just Myr after the Big Bang. SPT0615-JD, a spatially resolved candidate, remains at its high redshift, supported by deep Spitzer/IRAC data, and also shows some evidence for an evolved stellar population. Even with the lensed, bright apparent magnitudes of these candidates (H = 26.1-27.8 AB mag), only the James Webb Space Telescope will be able further confirm the presence of evolved stellar populations early in the universe.
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1. Introduction
High- galaxies are key sources in the epoch of reionization, and to understand the contributions of the faint population by way of ionizing photon production, we need measurements of star formation rate (SFR) and stellar mass. However in practice, robust constraints on physical properties of galaxies are difficult to place. Surveys using lensing and blank fields to target high- galaxies in recent years have rapidly grown the sample. In particular, measurements of ages of galaxies in the high- universe have provided one of the few observational probes of the onset of star formation (e.g., Egami et al., 2005; Richard et al., 2011; Huang et al., 2016). The most recent spectroscopically confirmed example by Hashimoto et al. (2018) (see also Zheng et al., 2012; Bradač et al., 2014; Hoag et al., 2018) implies first star formation at 250 Myr after the Big Bang as evidenced by an old stellar population in the galaxy MACS1149-JD.
There are also a number of galaxies that are not yet spectroscopically confirmed and show signs of a possible evolved stellar population at high-. At , spectral energy distribution (SED) results are heavily influenced by near-IR fluxes, since the Balmer/(4000) break (hereafter Balmer break) falls into Spitzer channel 1 (3.6m, [3.6] or ch1 hereafter) from , requiring Spitzer fluxes for robust measurements of stellar mass, SFR, and age. Complicating the problem, strengths of nebular emission lines and dust content at these redshifts are unknown, creating a degeneracy between emission lines and the Balmer break that is difficult to disentangle with the currently available near-IR broadband observations. When a spectroscopic redshift is available, it is sometimes possible to disentangle the degeneracy if the emission lines fall outside of a broadband, as in Hashimoto et al. (2018). While the James Webb Space Telescope (JWST) will ultimately be able to break most of these degeneracies, identifying candidates with broadband photometry for follow-up and an initial investigation of their stellar properties are important scientific goals.
So far, there have been 100-200 candidates identified in Hubble Space Telescope (HST) surveys that utilize gravitational lensing by massive galaxy clusters and in blank field surveys (e.g., Bradley et al., 2014; Bouwens et al., 2015; Finkelstein et al., 2015; Oesch et al., 2015; Ishigaki et al., 2018; Morishita et al., 2018; Bouwens et al., 2019; De Barros et al., 2019). Photometric redshifts of this sample are largely based on rest-frame UV + optical photometry (HST + Spitzer/IRAC), and only a small subset are spectroscopically confirmed. Without a spectroscopic confirmation, Spitzer fluxes can aid in removing low-redshift interlopers from these samples. Even with a spectroscopic confirmation, Spitzer/IRAC (rest-frame optical) fluxes are essential for robust measurements of stellar properties (González et al., 2011; Ryan et al., 2014; Salmon et al., 2015).
Here we use HST and Spitzer/IRAC imaging data from the Reionization Lensing Cluster Survey (RELICS, PI Coe) and companion survey, Spitzer-RELICS (S-RELICS, PI Bradač) to probe rest frame optical wavelengths of seven candidates originally selected with HST. Details of the HST-selected high- candidates can be found in Salmon et al. (2017, 2018) (hereafter S17, S18). We present measurements of stellar mass, SFR, and age inferred from HST and Spitzer broadband fluxes.
In §2 we describe HST and Spitzer imaging data and photometry. In §3 we discuss the lens models used in our analysis. In §4 we describe our photometric redshift procedure, SED modeling procedure and calculation of stellar properties. We present our SED fitting and stellar properties results in §5 and we conclude in §6. Throughout the paper, we give magnitudes in the AB system (Oke, 1974), and we assume a CDM cosmology with , , and .
2. Observations and Photometry
HST reduced images and catalogs are publicly available on Mikulski Archive for Space Telescopes (MAST111https://archive.stsci.edu/prepds/relics/) and Spitzer reduced images on NASA/IPAC Infrared Science Archive (IRSA222https://irsa.ipac.caltech.edu/data/SPITZER/SRELICS/). Details of the survey can be found in Coe et al. (2019). Here we focus on the six clusters with candidates (Abell 1763, MACSJ0553-33, PLCKG287+32, Abell S295, RXC0911+17, and SPT0615-57, Figure 1).
2.1. HST
Each cluster was observed with two orbits of WFC3/IR imaging in F105W, F125W, F140W, and F160W and with three orbits in ACS (F435W, F606W, F814W), with the exception of Abell1763 which received seven additional WFC3/IR orbits. In this work, we use the catalogs based on a detection image comprised of the /pix weighted stack of all WFC3/IR imaging, optimized for detecting small high- galaxies, described in Coe et al. (2019).
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Anders & Fritze-v. Alvensleben (2003) Anders, P., & Fritze-v. Alvensleben, U. 2003, A&A, 401, 1063 · doi ↗
- 2Bouwens et al. (2019) Bouwens, R. J., Stefanon, M., Oesch, P. A., et al. 2019, ar Xiv e-prints, ar Xiv:1905.05202
- 3Bouwens et al. (2015) Bouwens, R. J., Illingworth, G. D., Oesch, P. A., et al. 2015, Ap J, 803, 34 · doi ↗
- 4Bradač et al. (2014) Bradač, M., Ryan, R., Casertano, S., et al. 2014, Ap J, 785, 108 · doi ↗
- 5Bradley et al. (2014) Bradley, L. D., Zitrin, A., Coe, D., et al. 2014, Ap J, 792, 76 · doi ↗
- 6Brammer et al. (2008) Brammer, G. B., van Dokkum, P. G., & Coppi, P. 2008, Ap J, 686, 1503 · doi ↗
- 7Brocklehurst (1971) Brocklehurst, M. 1971, MNRAS, 153, 471 · doi ↗
- 8Bruzual & Charlot (2003) Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000 · doi ↗
