Avoiding baryonic feedback effects on neutrino mass measurements from CMB lensing
Fiona McCarthy, Simon Foreman, Alexander van Engelen

TL;DR
This paper evaluates three methods to mitigate baryonic feedback effects that bias neutrino mass measurements from CMB lensing, demonstrating effective strategies to reduce bias without increasing uncertainty.
Contribution
It introduces and tests three mitigation techniques for baryonic effects on CMB lensing-based neutrino mass measurements using Fisher forecasts and hydrodynamical simulations.
Findings
Methods (1) and (2) combined effectively reduce bias
Method (3) alone also reduces bias significantly
Bias can be minimized without increasing statistical uncertainty
Abstract
A measurement of the sum of neutrino masses is one of the main applications of upcoming measurements of gravitational lensing of the cosmic microwave background (CMB). This measurement can be confounded by modelling uncertainties related to so-called "baryonic effects" on the clustering of matter, arising from gas dynamics, star formation, and feedback from active galactic nuclei and supernovae. In particular, a wrong assumption about the form of baryonic effects on CMB lensing can bias a neutrino mass measurement by a significant fraction of the statistical uncertainty. In this paper, we investigate three methods for mitigating this bias: (1) restricting the use of small-scale CMB lensing information when constraining neutrino mass; (2) using an external tracer to remove the low-redshift contribution to a CMB lensing map; and (3) marginalizing over a parametric model for baryonic…
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