Neutrino mass constraints beyond linear order: cosmology dependence and systematic biases
Aoife Boyle, Fabian Schmidt

TL;DR
This paper investigates how extending galaxy clustering and CMB lensing models beyond linear order affects neutrino mass constraints, highlighting the importance of systematic biases, nuisance parameters, and cosmology assumptions.
Contribution
It introduces a next-to-leading-order power spectrum model for galaxy clustering and CMB lensing, analyzing its impact on neutrino mass constraints and systematic biases.
Findings
Next-to-leading-order modeling weakens neutrino mass constraints.
CMB lensing helps reduce parameter degeneracies.
Neglecting nonlinear corrections can bias neutrino mass estimates by about 20% of the error.
Abstract
We demonstrate the impact on forecasted neutrino mass constraints of extending galaxy clustering and CMB lensing predictions from linear to next-to-leading-order power spectra. The redshift-space 1-loop power spectrum model we adopt requires an additional four free bias parameters, a velocity bias parameter and two new stochastic parameters. These additional nuisance parameters appreciably weaken the constraints on . CMB lensing plays a significant role in helping to alleviate these degeneracies and tighten the final constraints. The constraint on the optical depth to reionisation has a strong effect on the constraint on , but only when CMB lensing is included in the analysis to keep the degeneracies with the nuisance parameters under control. We also extract constraints when 1) using the BAO signature only as a distance probe, and 2) isolating the scale-dependence…
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.
