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Title: Primordial Non-Gaussianities and Zero-Bias Tracers of the Large-Scale Structure

Abstract

In this study, we develop a new method to constrain primordial non-Gaussianities of the local kind using unclustered tracers of the large scale structure. We show that, in the limit of low noise, zero bias tracers yield large improvement over standard methods, mostly due to vanishing sampling variance. We propose a simple technique to construct such a tracer, using environmental information obtained from the original sample and validate our method with $N$-body simulations. Our results indicate that σ $f$$loc\atop{NL}$$ ≃ 1 can be reached using only information on a single tracer of sufficiently high number density.

Authors:
 [1];  [1];  [1];  [2]
  1. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Flatiron Inst., New York, NY (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC); National Aeronautic and Space Administration (NASA)
OSTI Identifier:
1544216
Grant/Contract Number:  
[NNX15AL17G]
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review Letters
Additional Journal Information:
[ Journal Volume: 121; Journal Issue: 10]; Journal ID: ISSN 0031-9007
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Castorina, Emanuele, Feng, Yu, Seljak, Uroš, and Villaescusa-Navarro, Francisco. Primordial Non-Gaussianities and Zero-Bias Tracers of the Large-Scale Structure. United States: N. p., 2018. Web. doi:10.1103/PhysRevLett.121.101301.
Castorina, Emanuele, Feng, Yu, Seljak, Uroš, & Villaescusa-Navarro, Francisco. Primordial Non-Gaussianities and Zero-Bias Tracers of the Large-Scale Structure. United States. doi:10.1103/PhysRevLett.121.101301.
Castorina, Emanuele, Feng, Yu, Seljak, Uroš, and Villaescusa-Navarro, Francisco. Fri . "Primordial Non-Gaussianities and Zero-Bias Tracers of the Large-Scale Structure". United States. doi:10.1103/PhysRevLett.121.101301. https://www.osti.gov/servlets/purl/1544216.
@article{osti_1544216,
title = {Primordial Non-Gaussianities and Zero-Bias Tracers of the Large-Scale Structure},
author = {Castorina, Emanuele and Feng, Yu and Seljak, Uroš and Villaescusa-Navarro, Francisco},
abstractNote = {In this study, we develop a new method to constrain primordial non-Gaussianities of the local kind using unclustered tracers of the large scale structure. We show that, in the limit of low noise, zero bias tracers yield large improvement over standard methods, mostly due to vanishing sampling variance. We propose a simple technique to construct such a tracer, using environmental information obtained from the original sample and validate our method with $N$-body simulations. Our results indicate that σ$f$$loc\atop{NL}$ ≃ 1 can be reached using only information on a single tracer of sufficiently high number density.},
doi = {10.1103/PhysRevLett.121.101301},
journal = {Physical Review Letters},
number = [10],
volume = [121],
place = {United States},
year = {2018},
month = {9}
}

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Cited by: 5 works
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