Informing antenna design for sky-averaged 21-cm experiments using a simulated Bayesian data analysis pipeline
Dominic Anstey, John Cumner, Eloy de Lera Acedo, Will Handley

TL;DR
This paper presents a simulation-based method to guide antenna design for sky-averaged 21-cm experiments, focusing on minimizing distortions caused by antenna chromaticity to improve signal detection.
Contribution
It introduces a data analysis simulation pipeline to evaluate and compare antenna designs for 21-cm experiments, highlighting the effectiveness of a log spiral antenna.
Findings
The log spiral antenna correctly identifies all inserted signals.
The polygonal dipole performs well except at low amplitude and frequency.
The conical sinuous antenna shows the least accurate performance.
Abstract
Global 21cm experiments aim to measure the sky averaged HI absorption signal from cosmic dawn and the epoch of reionisation. However, antenna chromaticity coupling to bright foregrounds can introduce distortions into the observational data of such experiments. We demonstrate a method for guiding the antenna design of a global experiment through data analysis simulations. This is done by performing simulated observations for a range of inserted 21cm signals, then attempting to identify the signals with a data analysis pipeline. We demonstrate this method on five antennae that were considered as potential designs for the Radio Experiment for the Analysis of Cosmic Hydrogen (REACH); a conical log spiral antenna, an inverted conical sinuous antenna and polygonal-, square- and elliptical-bladed dipoles. We find that the log spiral performs significantly better than the other antennae tested,…
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