Deep learning-driven likelihood-free parameter inference for 21-cm forest observations
The 21-cm forest can probe dark-matter properties and the heating history of the early intergalactic medium. This study uses normalizing flows for simulated-data augmentation and likelihood-free parameter inference. Tests with simulated radio …