Journal article

Dark-age reionization and galaxy formation simulation - XIX. Predictions of infrared excess and cosmic star formation rate density from UV observations

Yisheng Qiu, Simon J Mutch, Elisabete da Cunha, Gregory B Poole, J Stuart B Wyithe

Monthly Notices of the Royal Astronomical Society | OXFORD UNIV PRESS | Published : 2019

Abstract

We present a new analysis of high-redshift UV observations using a semi-analytic galaxy formation model, and provide self-consistent predictions of the infrared excess (IRX)-β relations and cosmic star formation rate density. We combine the Charlot & Fall dust attenuation model with the MERAXES semi-analytic model, and explore three different parametrizations for the dust optical depths, linked to star formation rate, dust-to-gas ratio, and gas column density, respectively. A Bayesian approach is employed to statistically calibrate model-free parameters including star formation efficiency, mass loading factor, dust optical depths, and reddening slope directly against UV luminosity functions ..

View full abstract

Grants

Awarded by Australian Research Council Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D)


Funding Acknowledgements

This research was supported by the Australian Research Council Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), through project number CE170100013. This work was performed on theOzSTAR national facility at SwinburneUniversity of Technology. OzSTAR is funded by Swinburne University of Technology and the National Collaborative Research Infrastructure Strategy (NCRIS). We thank the referee for providing constructive comments to improve the quality of this paper.