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The Necessity of Individually Validated Beam Models for an Interferometric Epoch of Reionization Detection

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arxiv 2409.19875 v1 pith:WT7CEOZU submitted 2024-09-30 astro-ph.CO astro-ph.IM

The Necessity of Individually Validated Beam Models for an Interferometric Epoch of Reionization Detection

classification astro-ph.CO astro-ph.IM
keywords beambeamsdetectionforegroundleakagemeasurementsmodelspower
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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abstract

A first statistical detection of the 21-cm Epoch of Reionization (EoR) is on the horizon, as cosmological volumes of the Universe become accessible via the adoption of low-frequency interferometers. We explore the impact which non-identical instrumental beam responses can have on the calibrated power spectrum and a future EoR detection. All-sky satellite measurements of Murchison Widefield Array (MWA) beams have revealed significant sidelobe deviations from cutting-edge electromagnetic simulations at the ~10% zenith power level. By generating physically motivated deformed beam models, we emulate real measurements of the MWA which inherently encode the imprints of varied beams. We explore two calibration strategies: using a single beam model across the array, or using a full set of deformed beams. Our simulations demonstrate beam-induced leakage of foreground power into theoretically uncontaminated modes, at levels which exceed the expected cosmological signal by factors of over ~1000 between the modes k=0.1-1 $hMpc^{-1}$. We also show that this foreground leakage can be mitigated by including measured models of varied beams into calibration frameworks, reducing the foreground leakage to a sub-dominant effect and potentially unveiling the EoR. Finally, we outline the future steps necessary to make this approach applicable to real measurements by radio interferometers.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Mitigating residual foregrounds and systematic errors in SKA1-Low AA* EoR observations via Bayesian Gaussian Process Regression

    astro-ph.CO 2026-05 unverdicted novelty 5.0

    Bayesian GPR recovers the 21cm signal within 2σ credible intervals for most k-modes (0.06 to 1.0 h/Mpc) in SKA1-Low simulations that include realistic residual foregrounds and systematics.

  2. Mitigating gain calibration errors from EoR observations with SKA1-Low AA*

    astro-ph.CO 2025-10 unverdicted novelty 4.0

    Simulations show hybrid foreground mitigation (GPR + PCA combined with avoidance) recovers the HI 21cm signal within 2σ for gain calibration errors ≤1% in SKA1-Low AA* observations over 0.05-0.5 Mpc^{-1} scales.