The impact of point source subtraction residuals on 21 cm Epoch of Reionization estimation
Cathryn M. Trott, Randall B. Wayth, Steven J. Tingay

TL;DR
This paper quantifies how imperfect subtraction of point sources affects 21cm EoR signal estimation, using information theory and analytic error propagation to assess residual impacts on power spectrum measurements for upcoming radio arrays.
Contribution
It introduces a novel method combining information theory and analytic error propagation to evaluate residuals from point source subtraction in 21cm EoR experiments.
Findings
Residual signals from sources above 1 Jy are below thermal noise levels.
Optimal subtraction of bright sources is not a limiting factor for EoR detection.
Provides an analytic derivation explaining the 'wedge' feature in power spectra.
Abstract
Precise subtraction of foreground sources is crucial for detecting and estimating 21cm HI signals from the Epoch of Reionization (EoR). We quantify how imperfect point source subtraction due to limitations of the measurement dataset yields structured residual signal in the dataset. We use the Cramer-Rao lower bound, as a metric for quantifying the precision with which a parameter may be measured, to estimate the residual signal in a visibility dataset due to imperfect point source subtraction. We then propagate these residuals into two metrics of interest for 21cm EoR experiments - the angular and two-dimensional power spectrum - using a combination of full analytic covariant derivation, analytic variant derivation, and covariant Monte Carlo simulations. This methodology differs from previous work in two ways: (1) it uses information theory to set the point source position error, rather…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
