Systematic errors in the measurement of neutrino masses due to baryonic feedback processes: Prospects for stage IV lensing surveys
Aravind Natarajan (U. Pitt), Andrew R. Zentner (U. Pitt), Nicholas, Battaglia (CMU), Hy Trac (CMU)

TL;DR
This paper investigates how baryonic feedback processes affect the measurement of neutrino masses through weak lensing surveys, highlighting the need to model these effects accurately for future precision cosmology.
Contribution
It demonstrates that baryonic feedback significantly biases neutrino mass estimates from weak lensing and emphasizes the importance of including feedback effects in modeling for upcoming surveys.
Findings
Baryonic feedback can cause large errors in neutrino mass estimates.
CMB lensing is less sensitive to baryonic feedback on scales below 2000.
Combining CMB and galaxy lensing helps disentangle feedback effects from neutrino mass signals.
Abstract
We examine the importance of baryonic feedback effects on the matter power spectrum on small scales, and the implications for the precise measurement of neutrino masses through gravitational weak lensing. Planned large galaxy surveys such as the Large Synoptic Sky Telescope (LSST) and Euclid are expected to measure the sum of neutrino masses to extremely high precision, sufficient to detect non-zero neutrino masses even in the minimal mass normal hierarchy. We show that weak lensing of galaxies while being a very good probe of neutrino masses, is extremely sensitive to baryonic feedback processes. We use publicly available results from the Overwhelmingly Large Simulations (OWLS) project to investigate the effects of active galactic nuclei feedback, the nature of the stellar initial mass function, and gas cooling rates, on the measured weak lensing shear power spectrum. Using the Fisher…
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.
