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

Abstract

One of the most powerful cosmological datasets when it comes to constraining neutrino masses is represented by galaxy power spectrum measurements, Pgg(k). The constraining power of Pgg(k) is however severely limited by uncertainties in the modeling of the scale-dependent galaxy bias b(k). In this Letter we present a new method to constrain b(k) by using the cross-correlation between the Cosmic Microwave Background (CMB) lensing signal and galaxy maps (Cκgℓ) using a simple but theoretically well-motivated parametrization for b(k). We apply the method using Cκgℓ measured by cross-correlating Planck lensing maps and the Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 11 (DR11) CMASS galaxy sample, and Pgg(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) 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) is demonstrated by determining a 95% C.L. upper bound on the sum of the three active neutrino masses Mν of Mν<0.19eV. 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 overlapmore » more significantly with the CMB lensing kernel providing a large cross-correlation signal.« less

Authors:
 [1];  [2];  [3];  [4];  [5];  [4];  [4]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States); Carnegie Mellon Univ., Pittsburgh, PA (United States)
  2. Stockholm Univ. (Sweden); Nordic Inst. for Theoretical Physics (NORDITA), Stockholm (Sweden)
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States); Carnegie Mellon Univ., Pittsburgh, PA (United States); Flatiron Inst., New York, NY (United States)
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
  5. Stockholm Univ. (Sweden); Nordic Inst. for Theoretical Physics (NORDITA), Stockholm (Sweden); Univ. of Michigan, Ann Arbor, MI (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF); Swedish Research Council (SRC)
OSTI Identifier:
1544143
Alternate Identifier(s):
OSTI ID: 1488644; OSTI ID: 1647218; OSTI ID: 1650038
Grant/Contract Number:  
SC0007859; AST1412966; 638-2013-8993; AST1517593; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review. D.
Additional Journal Information:
Journal Volume: 98; Journal Issue: 12; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; Cosmic microwave background; Cosmological parameters; Cosmology; Dark matter; Large scale structure of the Universe; Particle dark matter

Citation Formats

Giusarma, Elena, Vagnozzi, Sunny, Ho, Shirley, Ferraro, Simone, Freese, Katherine, Kamen-Rubio, Rocky, and Luk, Kam-Biu. Scale-dependent galaxy bias, CMB lensing-galaxy cross-correlation, and neutrino masses. United States: N. p., 2018. Web. doi:10.1103/PhysRevD.98.123526.
Giusarma, Elena, Vagnozzi, Sunny, Ho, Shirley, Ferraro, Simone, Freese, Katherine, Kamen-Rubio, Rocky, & Luk, Kam-Biu. Scale-dependent galaxy bias, CMB lensing-galaxy cross-correlation, and neutrino masses. United States. https://doi.org/10.1103/PhysRevD.98.123526
Giusarma, Elena, Vagnozzi, Sunny, Ho, Shirley, Ferraro, Simone, Freese, Katherine, Kamen-Rubio, Rocky, and Luk, Kam-Biu. Thu . "Scale-dependent galaxy bias, CMB lensing-galaxy cross-correlation, and neutrino masses". United States. https://doi.org/10.1103/PhysRevD.98.123526. https://www.osti.gov/servlets/purl/1544143.
@article{osti_1544143,
title = {Scale-dependent galaxy bias, CMB lensing-galaxy cross-correlation, and neutrino masses},
author = {Giusarma, Elena and Vagnozzi, Sunny and Ho, Shirley and Ferraro, Simone and Freese, Katherine and Kamen-Rubio, Rocky and Luk, Kam-Biu},
abstractNote = {One of the most powerful cosmological datasets when it comes to constraining neutrino masses is represented by galaxy power spectrum measurements, Pgg(k). The constraining power of Pgg(k) is however severely limited by uncertainties in the modeling of the scale-dependent galaxy bias b(k). In this Letter we present a new method to constrain b(k) by using the cross-correlation between the Cosmic Microwave Background (CMB) lensing signal and galaxy maps (Cκgℓ) using a simple but theoretically well-motivated parametrization for b(k). We apply the method using Cκgℓ measured by cross-correlating Planck lensing maps and the Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 11 (DR11) CMASS galaxy sample, and Pgg(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) 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) is demonstrated by determining a 95% C.L. upper bound on the sum of the three active neutrino masses Mν of Mν<0.19eV. 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.},
doi = {10.1103/PhysRevD.98.123526},
journal = {Physical Review. D.},
number = 12,
volume = 98,
place = {United States},
year = {Thu Dec 20 00:00:00 EST 2018},
month = {Thu Dec 20 00:00:00 EST 2018}
}

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