Accurately weighing neutrinos with cosmological surveys

A promising avenue to measure the total, and potentially individual, mass of neutrinos consists leveraging cosmological datasets, such as cosmic microwave background surveys large-scale structure universe. In order obtain unbiased estimates neutrino mass, however, many effects ought be included. Here we forecast, via a Markov Chain Monte Carlo likelihood analysis, whether measurements by two galaxy surveys: DESI {\it Euclid}, when added CMB-S4 experiment, are sensitive that can alter neutrino-mass measurements. The first is slight difference in suppression matter fluctuations each hierarchy generates, at fixed total mass. second growth-induced scale-dependent bias (GISDB) haloes produced massive neutrinos. We find near-future distinguish hierarchies with same only $1\sigma$ level; thus, while these poised deliver measurement sum masses, they cannot significantly discern individual foreseeable future. further neglecting GISDB induces up overestimation show how absorb this effect redshift-dependent parametrization scale-independent bias.