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|Title:||Cosmological constraints from galaxy clustering in the presence of massive neutrinos||Authors:||Zennaro, M.
|Issue Date:||2018||Journal:||MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY||Number:||477||Issue:||1||First Page:||491||Abstract:||The clustering ratio is defined as the ratio between the correlation function and the variance of the smoothed overdensity field. In Λ cold dark matter (ΛCDM) cosmologies without massive neutrinos, it has already been proven to be independent of bias and redshift space distortions on a range of linear scales. It therefore can provide us with a direct comparison of predictions (for matter in real space) against measurements (from galaxies in redshift space). In this paper we first extend the applicability of such properties to cosmologies that account for massive neutrinos, by performing tests against simulated data. We then investigate the constraining power of the clustering ratio on cosmological parameters such as the total neutrino mass and the equation of state of dark energy. We analyse the joint posterior distribution of the parameters that satisfy both measurements of the galaxy clustering ratio in the SDSS-DR12, and the angular power spectra of cosmic microwave background temperature and polarization anisotropies measured by the Planck satellite. We find the clustering ratio to be very sensitive to the CDM density parameter, but less sensitive to the total neutrino mass. We also forecast the constraining power the clustering ratio will achieve, predicting the amplitude of its errors with a Euclid-like galaxy survey. First we compute parameter forecasts using the Planck covariance matrix alone, then we add information from the clustering ratio. We find a significant improvement on the constraint of all considered parameters, and in particular an improvement of 40 per cent for the CDM density and 14 per cent for the total neutrino mass.||URI:||http://hdl.handle.net/20.500.12386/27920||URL:||https://academic.oup.com/mnras/article-abstract/477/1/491/4935185?redirectedFrom=fulltext||ISSN:||0035-8711||DOI:||10.1093/mnras/sty670||Bibcode ADS:||2018MNRAS.477..491Z||Fulltext:||open|
|Appears in Collections:||1.01 Articoli in rivista|
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|Zennaro_etal2018_MNRAS.pdf||postprint||2.96 MB||Adobe PDF||View/Open|
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checked on Jan 17, 2021
checked on Jan 17, 2021
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