Constraining Lyman-Werner Feedback from Velocity Acoustic Oscillations in the Cosmic Dawn 21 cm Signal
Xi Du, Bin Yue, Furen Deng, Yidong Xu, Yan Gong, Ely D. Kovetz, Xuelei Chen

TL;DR
This study explores how Velocity Acoustic Oscillation features in the 21 cm signal can be used to constrain Lyman-Werner feedback effects on early star formation during Cosmic Dawn.
Contribution
It introduces a novel method using VAO features and neural networks to indirectly measure LW feedback strength from 21 cm observations.
Findings
VAO features are sensitive to the minimum halo mass affected by LW feedback.
Neural networks can accurately infer LW feedback efficiency from simulated VAO data.
Realistic SKA-low observations require over 10,000 hours of integration for meaningful constraints.
Abstract
During Cosmic Dawn, Pop III stars could be formed in minihalos through molecular hydrogen (H) cooling. The minimum halo mass required for H cooling is highly sensitive to Lyman-Werner (LW) radiation, which dissociates H and regulates star formation. However, the efficiency of LW feedback remains poorly constrained due to the lack of direct observations of Pop III stars. The dark matter-baryon relative streaming velocity suppresses star formation in low-mass halos and imprints characteristic Velocity Acoustic Oscillation (VAO) features in the 21 cm power spectrum. These features are particularly sensitive to the cooling threshold mass: if LW feedback raises the minimum halo mass above the streaming-sensitive regime, the VAO signal is strongly suppressed. This makes the VAO wiggles a promising indirect probe of LW feedback during Cosmic Dawn. We investigate the feasibility of…
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.
