Euclid preparation. XXIV. Calibration of the halo mass function in $\Lambda(\nu)$CDM cosmologies
Euclid Collaboration: T. Castro, A. Fumagalli, R. E. Angulo, S., Bocquet, S. Borgani, C. Carbone, J. Dakin, K. Dolag, C. Giocoli, P. Monaco,, A. Ragagnin, A. Saro, E. Sefusatti, M. Costanzi, A. M. C. Le Brun, P.-S., Corasaniti, A. Amara, L. Amendola, M. Baldi, R. Bender

TL;DR
This paper presents a highly precise calibration of the halo mass function for Euclid's galaxy cluster survey, accounting for simulation and methodological uncertainties to improve cosmological parameter estimation.
Contribution
It introduces a new Bayesian-calibrated analytic halo mass function model with sub-percent accuracy across various bcdm cosmologies, including massive neutrinos.
Findings
Calibration systematic uncertainty is sub-dominant to observational uncertainties.
Different halo finders can bias cosmological inferences if not properly accounted for.
The model achieves sub-percent accuracy across multiple bcdm variants.
Abstract
Euclid's photometric galaxy cluster survey has the potential to be a very competitive cosmological probe. The main cosmological probe with observations of clusters is their number count, within which the halo mass function (HMF) is a key theoretical quantity. We present a new calibration of the analytic HMF, at the level of accuracy and precision required for the uncertainty in this quantity to be subdominant with respect to other sources of uncertainty in recovering cosmological parameters from Euclid cluster counts. Our model is calibrated against a suite of N-body simulations using a Bayesian approach taking into account systematic errors arising from numerical effects in the simulation. First, we test the convergence of HMF predictions from different N-body codes, by using initial conditions generated with different orders of Lagrangian Perturbation theory, and adopting different…
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