CNNs for reionisation time reconstruction from 21-cm maps are coherent for CDM and 5-7 keV WDM but show clear deviations for 2-3 keV WDM, indicating retained sensitivity to the training model.
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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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Reionisation time field reconstruction from 21-cm Maps: Investigating predictor coherence in WDM cosmology
CNNs for reionisation time reconstruction from 21-cm maps are coherent for CDM and 5-7 keV WDM but show clear deviations for 2-3 keV WDM, indicating retained sensitivity to the training model.
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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.