Journal article

Exploring the role of the halo-mass function for inferring astrophysical parameters during reionization

B Greig, D Prelogović, J Mirocha, Y Qin, YS Ting, A Mesinger

Monthly Notices of the Royal Astronomical Society | OXFORD UNIV PRESS | Published : 2024

Abstract

Detecting the 21-cm signal at z ≳ 6 will reveal insights into the properties of the first galaxies responsible for driving reionization. To extract this information, we perform parameter inference with three-dimensional simulations of the 21-cm signal embedded within a Bayesian inference pipeline. Presently, when performing inference, we must choose which sources of uncertainty to sample and which to hold fixed. Since the astrophysics of galaxies is much more uncertain than that of the underlying halo-mass function (HMF), we typically parametrize and model the former while fixing the latter. However, doing so may bias our inference of the galaxy properties. In this work, we explore the conse..

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University of Melbourne Researchers

Grants

Awarded by National Aeronautics and Space Administration


Funding Acknowledgements

We would like to thank the anonymous referees whose comments improved this manuscript. Parts of this research were supported by the Australian Research Council Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), through project number CE170100013. JM was supported by an appointment to the NASA Postdoctoral Program at the Jet Propulsion Laboratory/California Institute of Technology, administered by Oak Ridge Associated Universities under contract with NASA. YST acknowledges financial support from the Australian Research Council through DECRA Fellowship DE220101520. A.M. acknowledges support from the Ministry of Universities and Research (MUR) through the PRIN project 'Optimal inference from radio images of the epoch of reionization' as well as the PNRR project 'Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing'. This work was performed on the OzSTAR national facility at Swinburne University of Technology. The OzSTAR programme receives funding in part from the Astronomy National Collaborative Research Infrastructure Strategy (NCRIS) allocation provided by the Australian Government, and from the Victorian Higher Education State Investment Fund (VHESIF) provided by the Victorian Government.