Modelling the cosmic spectral energy distribution and extragalactic background light over all time
Stephen K. Andrews, Simon P. Driver, Luke J. Davies, Claudia d. P., Lagos, Aaron S. G. Robotham

TL;DR
This paper develops a phenomenological model of the cosmic spectral energy distribution and extragalactic background light over cosmic time, integrating star formation, dust, and AGN contributions, and compares it with observations and semi-analytic models.
Contribution
It introduces a minimal-parameter empirical model of the cosmic energy output that aligns well with observations and improves understanding of galaxy evolution over time.
Findings
The model accurately reproduces the energy output from ultraviolet to far-infrared.
Good agreement with observed stellar and dust mass densities.
GALFORM underpredicts the CSED at higher redshifts, indicating limitations in star formation modeling.
Abstract
We present a phenomological model of the Cosmic Spectral Energy Distribution (CSED) and the integrated galactic light (IGL) over all cosmic time. This model, based on an earlier model by Driver et al. (2013), attributes the cosmic star formation history to two processes -- firstly, chaotic clump accretion and major mergers, resulting in the early-time formation of bulges and secondly, cold gas accretion, resulting in late-time disc formation. Under the assumption of a Universal Chabrier initial mass function, we combine the Bruzual & Charlot (2003) stellar libraries, the Charlot & Fall (2000) dust attenuation prescription and template spectra for emission by dust and active galactic nuclei to predict the CSED -- pre- and post-dust attenuation -- and the IGL throughout cosmic time. The phenomological model, as constructed, adopts a number of basic axioms and empirical results and has…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
