New method maps 21cm cosmological structures to ~100m reflection scales for HERA-like and EDGES-like instruments, showing near-field beam calibration is required.
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A review chapter groups machine learning methods for 21 cm cosmology by their pipeline roles in handling contaminated data, accelerating simulations, and inferring astrophysical parameters.
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Mapping Cosmological Signal Scales to Beam Calibration Requirements in 21cm Experiments and Implications for Near-Field Measurement
New method maps 21cm cosmological structures to ~100m reflection scales for HERA-like and EDGES-like instruments, showing near-field beam calibration is required.
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Application of Machine Learning to 21 cm Cosmology
A review chapter groups machine learning methods for 21 cm cosmology by their pipeline roles in handling contaminated data, accelerating simulations, and inferring astrophysical parameters.