Petracca, F.F.PetraccaMarulli, F.F.MarulliMoscardini, L.L.MoscardiniCimatti, A.A.CimattiCARBONE, CarmelitaCarmelitaCARBONEAngulo, R. E.R. E.Angulo2020-05-252020-05-2520160035-8711http://hdl.handle.net/20.500.12386/25137We provide constraints on the accuracy with which the neutrino mass fraction, f<SUB>ν</SUB>, can be estimated when exploiting measurements of redshift-space distortions, describing in particular how the error on neutrino mass depends on three fundamental parameters of a characteristic galaxy redshift survey: density, halo bias and volume. In doing this, we make use of a series of dark matter halo catalogues extracted from the BASICC simulation. The mock data are analysed via a Markov Chain Monte Carlo likelihood analysis. We find a fitting function that well describes the dependence of the error on bias, density and volume, showing a decrease in the error as the bias and volume increase, and a decrease with density down to an almost constant value for high-density values. This fitting formula allows us to produce forecasts on the precision achievable with future surveys on measurements of the neutrino mass fraction. For example, a Euclid-like spectroscopic survey should be able to measure the neutrino mass fraction with an accuracy of δf<SUB>ν</SUB> ≈ 3.1 × 10<SUP>-3</SUP> (which is equivalent to δ∑m<SUB>ν</SUB> ≈ 0.039eV), using redshift-space clustering once all the other cosmological parameters are kept fixed to the ΛCDM case.STAMPAenArticle10.1093/mnras/stw19482-s2.0-84994520007000385231600055https://academic.oup.com/mnras/article/462/4/4208/25899612016MNRAS.462.4208PFIS/05 - ASTRONOMIA E ASTROFISICAERC sectors::Physical Sciences and Engineering::PE9 Universe sciences: astro-physics/chemistry/biology; solar systems; stellar, galactic and extragalactic astronomy, planetary systems, cosmology, space science, instrumentation