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Published April 11, 2018 | Submitted + Published
Journal Article Open

Interpreting the cosmic far-infrared background anisotropies using a gas regulator model

Abstract

Cosmic far-infrared background (CFIRB) is a powerful probe of the history of star formation rate (SFR) and the connection between baryons and dark matter across cosmic time. In this work, we explore to which extent the CFIRB anisotropies can be reproduced by a simple physical framework for galaxy evolution, the gas regulator (bathtub) model. This model is based on continuity equations for gas, stars, and metals, taking into account cosmic gas accretion, star formation, and gas ejection. We model the large-scale galaxy bias and small-scale shot noise self-consistently, and we constrain our model using the CFIRB power spectra measured by Planck. Because of the simplicity of the physical model, the goodness of fit is limited. We compare our model predictions with the observed correlation between CFIRB and gravitational lensing, bolometric infrared luminosity functions, and submillimetre source counts. The strong clustering of CFIRB indicates a large galaxy bias, which corresponds to haloes of mass 10^(12.5) M⊙ at z = 2, higher than the mass associated with the peak of the star formation efficiency. We also find that the far-infrared luminosities of haloes above 10^(12) M⊙ are higher than the expectation from the SFR observed in ultraviolet and optical surveys.

Additional Information

© 2018 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. Accepted 2018 January 5. Received 2017 December 27; in original form 2016 July 7. Published: 10 January 2018. We thank Chris Hayward, Lorenzo Moncelsi, Jason Sun, and Marco Viero for helpful discussions. H.W. acknowledges the support by the US National Science Foundation (NSF) grant AST1313037. The calculations in this work were performed on the Caltech computer cluster Zwicky, which is supported by NSF MRI-R2 award number PHY-096029, and on the Piz Dora cluster of the Swiss National Supercomputing Centre. Part of the research described in this paper was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.

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Submitted - 1607.02546v1.pdf

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