Journal article
Dark-ages reionization and galaxy formation simulation - XXI. Constraining the evolution of the ionizing escape fraction
SJ Mutch, B Greig, Y Qin, GB Poole, JSB Wyithe
Monthly Notices of the Royal Astronomical Society | Published : 2024
Abstract
The fraction of ionizing photons that escape their host galaxies to ionize hydrogen in the intergalactic medium (IGM) is a critical parameter in analyses of the reionization era. In this paper, we use the meraxes semi-analytic galaxy formation model to infer the mean ionizing photon escape fraction and its dependence on galaxy properties through joint modelling of the observed high redshift galaxy population and existing constraints on the reionization history. Using a Bayesian framework, and under the assumption that escape fraction is primarily related to halo mass, we find that the joint constraints of the ultraviolet luminosity function, cosmic microwave background optical depth, and the..
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Grants
Awarded by Astronomy Australia Limited
Funding Acknowledgements
This research was supported by the Australian Research Council Centre of Excellence for All Sky Astrophysics in 3D (ASTRO 3D), through project number CE170100013. Parts of this work were performed on the OzSTAR national facility at Swinburne University of Technology. This work was supported by software support resources awarded under the Astronomy Data and Computing Services (ADACS) Merit Allocation Program. ADACS is funded from the Astronomy National Collaborative Research Infrastructure Strategy (NCRIS) allocation provided by the Australian Government and managed by Astronomy Australia Limited (AAL). This research relies heavily, and with great thanks, on the python open source community, in particular numpy (Harris et al. 2020), scipy (Virtanen et al. 2020), cython (Behnel et al. 2011), matplotlib (Hunter 2007), h5py, ultranest (Buchner 2021), seaborn (Waskom 2021), mpi4py (Dalcin, Paz & Storti 2005), jupyter (Granger & Perez 2021), jinja2, click, pandas (pandas development team 2020), and xarray (Hoyer & Hamman 2017).