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Simulation-Based Inference of the sky-averaged 21-cm signal from CD-EoR with REACH

A Saxena, PD Meerburg, C Weniger, EL Acedo… - arXiv preprint arXiv …, 2024 - arxiv.org
Astrophysics paper astro-ph.CO Suggest

… S., Wandelt B., 2019, Monthly Notices of the Royal Astronomical Society Alvey J., Bhardwaj U., Domcke V., Pieroni M., Weniger C., 2023a, Simulation-based inference for …

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@article{2403.14618v2,
Author        = {Anchal Saxena and P. Daniel Meerburg and Christoph Weniger and Eloy de Lera Acedo and Will Handley},
Title         = {Simulation-Based Inference of the sky-averaged 21-cm signal from CD-EoR
  with REACH},
Eprint        = {2403.14618v2},
DOI           = {10.1093/rasti/rzae047},
ArchivePrefix = {arXiv},
PrimaryClass  = {astro-ph.CO},
Abstract      = {The redshifted 21-cm signal from the Cosmic Dawn and Epoch of Reionization
carries invaluable information about the cosmology and astrophysics of the
early Universe. Analyzing data from a sky-averaged 21-cm signal experiment
requires navigating through an intricate parameter space addressing various
factors such as foregrounds, beam uncertainties, ionospheric distortions, and
receiver noise for the search of the 21-cm signal. The traditional
likelihood-based sampling methods for modeling these effects could become
computationally demanding for such complex models, which makes it infeasible to
include physically motivated 21-cm signal models in the analysis. Moreover, the
inference is driven by the assumed functional form of the likelihood. We
demonstrate how Simulation-Based Inference through Truncated Marginal Neural
Ratio Estimation (TMNRE) can naturally handle these issues at a reduced
computational cost. We estimate the posterior distribution on our model
parameters with TMNRE for simulated mock observations, incorporating
beam-weighted foregrounds, physically motivated 21-cm signal, and radiometric
noise. We find that maximizing information content by analyzing data from
multiple time slices and antennas significantly improves the parameter
constraints and enhances the exploration of the cosmological signal. We discuss
the application of TMNRE for the current configuration of the REACH experiment
and demonstrate its potential for exploring new avenues.},
Year          = {2024},
Month         = {Mar},
Note          = {RAS Techniques and Instruments, Volume 3, Issue 1, January 2024,
  Pages 724-736},
Url           = {http://arxiv.org/abs/2403.14618v2},
File          = {2403.14618v2.pdf}
}

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