Variance-aware model discrimination with the Sunyaev-Zel'dovich effect of the 21 cm background (SZE-21cm)
Charles Mpho Takalana

TL;DR
This paper explores the potential of the Sunyaev-Zel'dovich effect of the 21 cm background (SZE-21cm) to distinguish different Cosmic Dawn scenarios using semi-numerical simulations and a new separability index, providing a model-independent upper bound for experiments.
Contribution
It introduces a novel, intrinsic, and instrument-free separability index for SZE-21cm spectra to differentiate Cosmic Dawn models, accounting for astrophysical variance and observational limitations.
Findings
Heating timing variations produce the strongest spectral separations.
X-ray hardness variations are nearly degenerate with the fiducial case after variance inclusion.
The framework can map anomalous global-signal morphologies into SZE-21cm signatures.
Abstract
The sky-averaged redshifted 21 cm signal from Cosmic Dawn is a uniquely sensitive tracer of early heating and ionisation, but it remains challenging to measure directly. The Sunyaev-Zel'dovich effect of the 21 cm background (SZE-21cm) provides a complementary route: Comptonisation of the incident low-frequency background by hot electrons in galaxy clusters produces a spectral distortion that can be recovered as a difference between the line of sight through a galaxy cluster and a nearby blank-sky reference, and is therefore naturally compatible with interferometric observations. We use semi-numerical simulations of the global 21 cm background, together with a relativistic scattering kernel built from the Maxwell-Juttner electron distribution, to assess how well the SZE-21cm separates physically distinct Cosmic Dawn scenarios. The model suite varies star-formation efficiency, X-ray…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
