Speaker
Adam He
Description
We present the first analysis of neutrino self-interactions with two new, state-of-the-art Lyman-$\alpha$ likelihoods: an EFT-based likelihood developed from the Sherwood simulation suite, and a compressed likelihood developed from the PRIYA simulation suite. We find that the inclusion of either Lyman-$\alpha$ dataset penalizes the delay in neutrino free-streaming, previously found to be highly preferred by a combination of CMB and LSS data. We also jointly analyze Planck and DESI BAO data, which does not alter the preference for $\Lambda$CDM over neutrino-neutrino scattering found in a Planck--only analysis. Our results highlight the importance of modeling the Lyman-$\alpha$ forest accurately.
Author
Co-authors
Mikhail M. Ivanov
(MIT)
Simeon Bird
Rui An
(University of Southern California)
Vera Gluscevic
(University of Southern California)
