Constraining neutrino properties with a Euclid-like galaxy cluster survey
M. Costanzi Alunno Cerbolini, B. Sartoris, Jun-Qing Xia, A. Biviano,, S. Borgani, M. Viel

TL;DR
This study forecasts how a Euclid-like galaxy cluster survey, combined with CMB data, can significantly improve constraints on neutrino mass and properties, potentially enabling detection of neutrino mass in various cosmological models.
Contribution
It demonstrates the potential of a Euclid-like survey combined with CMB data to tightly constrain neutrino properties, including mass and effective number, across different cosmological models.
Findings
Combining cluster data with Planck CMB measurements improves neutrino mass constraints by over an order of magnitude.
The 2 sigma upper limit on total neutrino mass is reduced from 0.35 eV to 0.031 eV when combining data.
Constraints on N_eff are tightened to N_eff<3.14, with potential for 2 sigma detection of neutrino mass.
Abstract
We perform a forecast analysis on how well a Euclid-like photometric galaxy cluster survey will constrain the total neutrino mass and effective number of neutrino species. We base our analysis on the Monte Carlo Markov Chains technique by combining information from cluster number counts and cluster power spectrum. We find that combining cluster data with CMB measurements from Planck improves by more than an order of magnitude the constraint on neutrino masses compared to each probe used independently. For the LCDM+m_nu model the 2 sigma upper limit on total neutrino mass shifts from M_nu < 0.35 eV using cluster data alone to M_nu < 0.031 eV when combined with CMB data. When a non-standard model with N_eff number of neutrino species is considered, we estimate N_eff<3.14 (95% CL), while the bounds on neutrino mass are relaxed to M_nu < 0.040 eV. This accuracy would be sufficient for a 2…
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