Constraining Neutrinos and Dark Energy with Galaxy Clustering in the Dark Energy Survey
Alan Zablocki

TL;DR
This paper forecasts how well the Dark Energy Survey combined with Planck data can constrain neutrino masses and dark energy properties using galaxy clustering, considering various models and uncertainties.
Contribution
It provides new forecasted constraints on neutrino masses and dark energy parameters from galaxy clustering data, including effects of galaxy bias and evolving dark energy models.
Findings
Upper limit on neutrino mass: < 0.08 eV for ΛCDM
Dark energy parameter w constrained to Δw=0.03
Neutrino mass uncertainties significantly affect dark energy constraints
Abstract
We determine the forecast errors on the absolute neutrino mass scale and the equation of state of dark energy by combining synthetic data from the Dark Energy Survey (DES) and the Cosmic Microwave Background (CMB) Planck surveyor. We use angular clustering of galaxies for DES in 7 redshift shells up to including cross-correlations between different redshift shells. We study models with massless and massive neutrinos and three different dark energy models: CDM (), wCDM (constant ), and waCDM (evolving equation of state parameter ). We include the impact of uncertainties in modeling galaxy bias using a constant and a redshift-evolving bias model. For the CDM model we obtain an upper limit for the sum of neutrino masses from DES+Planck of eV (95\% C.L.) for a fiducial mass of eV, with…
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