A Conditional Luminosity Function Model of the Cosmic Far-Infrared Background Anisotropy Power Spectrum
Francesco De Bernardis, Asantha Cooray

TL;DR
This paper develops a conditional luminosity function model to analyze the cosmic far-infrared background anisotropy power spectrum, revealing the typical duration of star formation phases and properties of contributing galaxies.
Contribution
It introduces a redshift-dependent duty-cycle parameter in a conditional luminosity function model to better understand the galaxy populations responsible for the CFIRB anisotropies.
Findings
Duty cycle of 0.3 to 0.5, lasting 0.3-1.6 Gyrs.
Minimum halo mass for dusty galaxies at z=1 is 2×10^{11} M_Sun.
Dust density in star-forming galaxies is approximately 3×10^{-6} to 2×10^{-5}.
Abstract
The cosmic far-infrared background (CFIRB) is expected to be generated by faint, dusty star-forming galaxies during the peak epoch of galaxy formation. The anisotropy power spectrum of the CFIRB captures the spatial distribution of these galaxies in dark matter halos and the spatial distribution of dark matter halos in the large-scale structure. Existing halo models of CFIRB anisotropy power spectrum are either incomplete or lead to halo model parameters that are inconsistent with the galaxy distribution selected at other wavelengths. Here we present a conditional luminosity function approach to describe the far-IR bright galaxies. We model the 250 um luminosity function and its evolution with redshift and model-fit the CFIRB power spectrum at 250 um measured by the Herschel Space Observatory. We introduce a redshift dependent duty-cycle parameter so that we are able to estimate the…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · CCD and CMOS Imaging Sensors
