Modeling submillimeter galaxies in cosmological simulations: Contribution to the cosmic star formation density and predictions for future surveys
Ankit Kumar, M. Celeste Artale, Antonio D. Montero-Dorta, Lucia Guaita, Kyoung-Soo Lee, Alexandra Pope, Joop Schaye, Matthieu Schaller, Eric Gawiser, Ho Seong Hwang, Woong-Seob Jeong, Jaehyun Lee, Nelson Padilla, Changbom Park, Vandana Ramakrishnan, Akriti Singh, and Yujin Yang

TL;DR
This study models submillimeter galaxies in cosmological simulations to understand their role in cosmic star formation and predict their observability in future surveys, highlighting the effectiveness of the FLAMINGO simulation.
Contribution
It introduces a parametric model for SMGs based on radiative transfer calculations and tests it across multiple simulations, emphasizing FLAMINGO's success in reproducing observations.
Findings
FLAMINGO matches observed SMG counts and redshift distribution.
SMGs contribute up to 27% of SFRD at z=2.6 in FLAMINGO.
Forecast: TolTEC UDS will detect 80,000 SMGs, covering 50% of cosmic SFRD at z=2.5.
Abstract
Submillimeter galaxies (SMGs) constitute a key population of bright star-forming galaxies at high redshift. These galaxies challenge galaxy formation models, particularly in reproducing their observed number counts and redshift distributions. Furthermore, although SMGs contribute significantly to the cosmic star formation rate density (SFRD), their precise role remains uncertain. Upcoming surveys, such as the Ultra Deep Survey with the TolTEC camera, are expected to offer valuable insights into SMG properties and their broader impact. Robust modeling of SMGs in a cosmologically representative volume is necessary to investigate their nature in preparation for next-generation submillimeter surveys. We implement and test parametric relations derived from radiative transfer calculations across three cosmological simulations: EAGLE, IllustrisTNG, and FLAMINGO. Particular emphasis is placed…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Scientific Research and Discoveries
