Calibrating Cluster Number Counts with CMB lensing
Thibaut Louis, David Alonso

TL;DR
This paper demonstrates how combining CMB lensing and SZ cluster data from future experiments can precisely calibrate cluster masses, constrain cosmological parameters, and potentially detect the neutrino mass sum.
Contribution
It introduces a method to internally calibrate cluster masses using high signal-to-noise CMB lensing data from Stage-4 experiments, improving cosmological constraints.
Findings
CMB Stage-4 will constrain hydrostatic bias to sub-percent accuracy.
The joint analysis could detect the lower limit of neutrino mass sum at about 5 sigma.
Constraints on the non-parametric Y-M relationship can inform its evolution with mass and redshift.
Abstract
CMB Stage-4 experiments will reduce the uncertainties on the gravitational lensing potential by an order of magnitude compared to current measurements, and will also produce a Sunyaev-Zel'dovich (SZ) cluster catalog containing objects, two orders of magnitudes higher than what is currently available. In this paper we propose to combine these two observables and show that it is possible to calibrate the masses of the full Stage-4 cluster catalog internally owing to the high signal to noise measurement of the CMB lensing convergence field. We find that a CMB Stage-4 experiment will constrain the hydrostatic bias parameter to sub-percent accuracy. We also show constraints on a non parametric relationship which could be used to study its evolution with mass and redshift. Finally we present a joint likelihood for thermal SZ (tSZ) flux and mass measurements, and show that…
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.
