Bayesian data analysis for sky-averaged 21-cm experiments with contamination from linearly polarised foregrounds

Abstract The precise measurement of the sky-averaged HI signal against the radio background is the goal of global 21-cm cosmology. This measurement has the potential to unravel the underlying physics of cosmic structure formation and evolution during the Cosmic Dawn and the Epoch of Reionisation. It is, however, hindered by various non-smooth, frequency-dependent effects, whose structures resemble those of the signal. One such effect is the leakage of polarised foregrounds into the measured intensity signal: polarised foreground emission undergoes Faraday rotation as it passes through the magnetic fields of the interstellar medium, imprinting a chromatic structure which complicates the extraction of the cosmological HI absorption feature. We investigate the effect of polarised Galactic foregrounds on extracting the global 21-cm signal from simulated data using REACH’s data analysis pipeline; the Radio Experiment for the Analysis of Cosmic Hydrogen (REACH) is an experiment designed to detect the sky-averaged 21-cm signal using physically informed models. Using the REACH pipeline, we successfully recover injected global 21-cm signals with an amplitude of approximately 0.16 K, centred between 80 and 120 MHz, achieving a low root-mean-square error (less than 30% of the injected signal strength). This includes scenarios with simulated polarised Galactic diffuse emissions and polarised point source emissions, provided the overall polarisation fraction is below ∼3%. The linear mixing of contamination, caused by the superposition of multiple patches with varying strengths of Faraday rotation, produces patterns that are more distinct from the global signal. This distinction makes global signal recovery easier compared to contamination resulting from a single, slow oscillation pattern.

Publication Details

Journal
Apollo (University of Cambridge)
Published
2025-05-01
DOI
https://doi.org/10.17863/cam.117836
Primary Topic
Radio Astronomy Observations and Technology
Type
article
Field-Weighted Citation Impact
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article

Bayesian data analysis for sky-averaged 21-cm experiments with contamination from linearly polarised foregrounds

Apollo (University of Cambridge)
Radio Astronomy Observations and Technology
article

Bayesian data analysis for sky-averaged 21-cm experiments with contamination from linearly polarised foregrounds

article en

Abstract

Abstract The precise measurement of the sky-averaged HI signal against the radio background is the goal of global 21-cm cosmology. This measurement has the potential to unravel the underlying physics of cosmic structure formation and evolution during the Cosmic Dawn and the Epoch of Reionisation. It is, however, hindered by various non-smooth, frequency-dependent effects, whose structures resemble those of the signal. One such effect is the leakage of polarised foregrounds into the measured intensity signal: polarised foreground emission undergoes Faraday rotation as it passes through the magnetic fields of the interstellar medium, imprinting a chromatic structure which complicates the extraction of the cosmological HI absorption feature. We investigate the effect of polarised Galactic foregrounds on extracting the global 21-cm signal from simulated data using REACH’s data analysis pipeline; the Radio Experiment for the Analysis of Cosmic Hydrogen (REACH) is an experiment designed to detect the sky-averaged 21-cm signal using physically informed models. Using the REACH pipeline, we successfully recover injected global 21-cm signals with an amplitude of approximately 0.16 K, centred between 80 and 120 MHz, achieving a low root-mean-square error (less than 30% of the injected signal strength). This includes scenarios with simulated polarised Galactic diffuse emissions and polarised point source emissions, provided the overall polarisation fraction is below ∼3%. The linear mixing of contamination, caused by the superposition of multiple patches with varying strengths of Faraday rotation, produces patterns that are more distinct from the global signal. This distinction makes global signal recovery easier compared to contamination resulting from a single, slow oscillation pattern.

Apollo (University of Cambridge)
Openalex Percentile: Top 62%
Radio Astronomy Observations and Technology
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Bayesian data analysis for sky-averaged 21-cm experiments with contamination from linearly polarised foregrounds · Apollo (University of Cambridge) (2025) | TGRS Research Map | TGRS