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Taking Census of Massive, Star-Forming Galaxies formed <1 Gyr After the Big Bang

Casey, Caitlin M. and Capak, Peter and Staguhn, Johannes and Armus, Lee and Blain, Andrew and Béthermin, Matthieu and Champagne, Jaclyn and Cooray, Asantha and Coppin, Kristen and Drew, Patrick and Dwek, Eli and Finkelstein, Steven and Franco, Maximilien and Geach, James and Hodge, Jacqueline and Koprowski, Maciej and Lagos, Claudia and Narayanan, Desika and Pope, Alexandra and Sanders, David and Shivaei, Irene and Toft, Sune and Vieira, Joaquin and Walter, Fabian and Whitaker, Kate and Yun, Min and Zavala, Jorge (2019) Taking Census of Massive, Star-Forming Galaxies formed <1 Gyr After the Big Bang. Astro2020 Science White Paper, . (Unpublished)

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Two decades of effort have been poured into both single-dish and interferometric millimeter-wave surveys of the sky to infer the volume density of dusty star-forming galaxies (DSFGs, with SFR>100M⊙ yr^(−1)) over cosmic time. Though obscured galaxies dominate cosmic star-formation near its peak at z∼2, the contribution of such heavily obscured galaxies to cosmic star-formation is unknown beyond z∼2.5 in contrast to the well-studied population of Lyman-break galaxies (LBGs) studied through deep, space- and ground-based pencil beam surveys in the near-infrared. Unlocking the volume density of DSFGs beyond z>3, particularly within the first 1 Gyr after the Big Bang is critical to resolving key open questions about early Universe galaxy formation: (1) What is the integrated star-formation rate density of the Universe in the first few Gyr and how is it distributed among low-mass galaxies (e.g. Lyman-break galaxies) and high-mass galaxies (e.g. DSFGs and quasar host galaxies)? (2) How and where do the first massive galaxies assemble? (3) What can the most extreme DSFGs teach us about the mechanisms of dust production (e.g. supernovae, AGB stars, grain growth in the ISM) <1 Gyr after the Big Bang? We summarize the types of observations needed in the next decade to address these questions.

Item Type:Report or Paper (White Paper)
Related URLs:
URLURL TypeDescription Paper
Casey, Caitlin M.0000-0002-0930-6466
Capak, Peter0000-0003-3578-6843
Staguhn, Johannes0000-0002-8437-0433
Armus, Lee0000-0003-3498-2973
Blain, Andrew0000-0001-7489-5167
Béthermin, Matthieu0000-0002-3915-2015
Champagne, Jaclyn0000-0002-6184-9097
Cooray, Asantha0000-0002-3892-0190
Drew, Patrick0000-0003-3627-7485
Dwek, Eli0000-0001-8033-1181
Finkelstein, Steven0000-0001-8519-1130
Franco, Maximilien0000-0002-3560-8599
Geach, James0000-0003-4964-4635
Hodge, Jacqueline0000-0001-6586-8845
Koprowski, Maciej0000-0001-5785-1154
Lagos, Claudia0000-0003-3021-8564
Narayanan, Desika0000-0002-7064-4309
Pope, Alexandra0000-0001-8592-2706
Sanders, David0000-0002-1233-9998
Toft, Sune0000-0003-3631-7176
Walter, Fabian0000-0003-4793-7880
Yun, Min0000-0001-7095-7543
Zavala, Jorge0000-0002-7051-1100
Group:Infrared Processing and Analysis Center (IPAC)
Series Name:Astro2020 Science White Paper
Record Number:CaltechAUTHORS:20190813-100440817
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:97861
Deposited By: Tony Diaz
Deposited On:13 Aug 2019 18:20
Last Modified:09 Mar 2020 13:19

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