English

Scale-dependent galaxy bias, CMB lensing-galaxy cross-correlation, and neutrino masses

Cosmology and Nongalactic Astrophysics 2019-03-18 v2 Astrophysics of Galaxies High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology High Energy Physics - Phenomenology

Abstract

One of the most powerful cosmological datasets when it comes to constraining neutrino masses is represented by galaxy power spectrum measurements, Pgg(k)P_{gg}(k). The constraining power of Pgg(k)P_{gg}(k) is however severely limited by uncertainties in the modeling of the scale-dependent galaxy bias b(k)b(k). In this Letter we present a new method to constrain b(k)b(k) by using the cross-correlation between the Cosmic Microwave Background (CMB) lensing signal and galaxy maps (CκgC_\ell^{\rm \kappa g}) using a simple but theoretically well-motivated parametrization for b(k)b(k). We apply the method using CκgC_\ell^{\rm \kappa g} measured by cross-correlating Planck lensing maps and the Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 11 (DR11) CMASS galaxy sample, and Pgg(k)P_{gg}(k) measured from the BOSS DR12 CMASS sample. We detect a non-zero scale-dependence at moderate significance, which suggests that a proper modeling of b(k)b(k) is necessary in order to reduce the impact of non-linearities and minimize the corresponding systematics. The accomplished increase in constraining power of Pgg(k)P_{gg}(k) is demonstrated by determining a 95% C.L. upper bound on the sum of the three active neutrino masses MνM_{\nu} of Mν<0.19eVM_{\nu}<0.19\, {\rm eV}. This limit represents a significant improvement over previous bounds with comparable datasets. Our method will prove especially powerful and important as future large-scale structure surveys will overlap more significantly with the CMB lensing kernel providing a large cross-correlation signal.

Keywords

Cite

@article{arxiv.1802.08694,
  title  = {Scale-dependent galaxy bias, CMB lensing-galaxy cross-correlation, and neutrino masses},
  author = {Elena Giusarma and Sunny Vagnozzi and Shirley Ho and Simone Ferraro and Katherine Freese and Rocky Kamen-Rubio and Kam-Biu Luk},
  journal= {arXiv preprint arXiv:1802.08694},
  year   = {2019}
}

Comments

11 pages, 3 figures