Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space

Emanuele Castorina; Nick Hand; Uroš Seljak; Florian Beutler; Chia Hsun Chuang; Cheng Zhao; Héctor Gil-Marín; Will J. Percival; Ashley J. Ross; Peter Doohyun Choi; Kyle Dawson; Axel De La Macorra; Graziano Rossi; Rossana Ruggeri; Donald Schneider; Gong Bo Zhao

doi:10.1088/1475-7516/2019/09/010

Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space

Emanuele Castorina, Nick Hand, Uroš Seljak, Florian Beutler, Chia Hsun Chuang, Cheng Zhao, Héctor Gil-Marín, Will J. Percival, Ashley J. Ross, Peter Doohyun Choi, Kyle Dawson, Axel De La Macorra, Graziano Rossi, Rossana Ruggeri, Donald Schneider, Gong Bo Zhao

Research output: Contribution to journal › Article › peer-review

101 Scopus citations

Abstract

We present constraints on local primordial non-Gaussianity (PNG), parametrized through f^loc _NL, using the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample. We measure and analyze the anisotropic clustering of the quasars in Fourier space, testing for the scale-dependent bias introduced by primordial non-Gaussianity on large scales. We derive and employ a power spectrum estimator using optimal weights that account for the redshift evolution of the PNG signal. We find constraints of ..51 < f^loc _NL < 21 at 95% conffidence level. These are among the tightest constraints from Large Scale Structure (LSS) data. Our redshift weighting improves the error bar by 15% in comparison to the unweighted case. If quasars have lower response to PNG, the constraint degrades to ..81 < f^loc _NL < 26, with a 40% improvement over the standard approach. We forecast that the full eBOSS dataset could reach σf^loc _NL ≃5-8 using optimal methods and full range of scales.

Original language	English (US)
Article number	010
Journal	Journal of Cosmology and Astroparticle Physics
Volume	2019
DOIs	https://doi.org/10.1088/1475-7516/2019/09/010
State	Published - 2019

All Science Journal Classification (ASJC) codes

Astronomy and Astrophysics

Access to Document

10.1088/1475-7516/2019/09/010

Cite this

Castorina, E., Hand, N., Seljak, U., Beutler, F., Chuang, C. H., Zhao, C., Gil-Marín, H., Percival, W. J., Ross, A. J., Choi, P. D., Dawson, K., De La Macorra, A., Rossi, G., Ruggeri, R., Schneider, D., & Zhao, G. B. (2019). Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space. Journal of Cosmology and Astroparticle Physics, 2019, Article 010. https://doi.org/10.1088/1475-7516/2019/09/010

@article{093c8c21f6924af0a7e4329120a5f74e,

title = "Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space",

abstract = "We present constraints on local primordial non-Gaussianity (PNG), parametrized through floc NL, using the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample. We measure and analyze the anisotropic clustering of the quasars in Fourier space, testing for the scale-dependent bias introduced by primordial non-Gaussianity on large scales. We derive and employ a power spectrum estimator using optimal weights that account for the redshift evolution of the PNG signal. We find constraints of ..51 < floc NL < 21 at 95\% conffidence level. These are among the tightest constraints from Large Scale Structure (LSS) data. Our redshift weighting improves the error bar by 15\% in comparison to the unweighted case. If quasars have lower response to PNG, the constraint degrades to ..81 < floc NL < 26, with a 40\% improvement over the standard approach. We forecast that the full eBOSS dataset could reach σfloc NL ≃5-8 using optimal methods and full range of scales.",

author = "Emanuele Castorina and Nick Hand and Uro{\v s} Seljak and Florian Beutler and Chuang, \{Chia Hsun\} and Cheng Zhao and H{\'e}ctor Gil-Mar{\'i}n and Percival, \{Will J.\} and Ross, \{Ashley J.\} and Choi, \{Peter Doohyun\} and Kyle Dawson and \{De La Macorra\}, Axel and Graziano Rossi and Rossana Ruggeri and Donald Schneider and Zhao, \{Gong Bo\}",

year = "2019",

doi = "10.1088/1475-7516/2019/09/010",

language = "English (US)",

volume = "2019",

journal = "Journal of Cosmology and Astroparticle Physics",

issn = "1475-7516",

publisher = "IOP Publishing Ltd.",

}

Castorina, E, Hand, N, Seljak, U, Beutler, F, Chuang, CH, Zhao, C, Gil-Marín, H, Percival, WJ, Ross, AJ, Choi, PD, Dawson, K, De La Macorra, A, Rossi, G, Ruggeri, R, Schneider, D & Zhao, GB 2019, 'Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space', Journal of Cosmology and Astroparticle Physics, vol. 2019, 010. https://doi.org/10.1088/1475-7516/2019/09/010

TY - JOUR

T1 - Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space

AU - Castorina, Emanuele

AU - Hand, Nick

AU - Seljak, Uroš

AU - Beutler, Florian

AU - Chuang, Chia Hsun

AU - Zhao, Cheng

AU - Gil-Marín, Héctor

AU - Percival, Will J.

AU - Ross, Ashley J.

AU - Choi, Peter Doohyun

AU - Dawson, Kyle

AU - De La Macorra, Axel

AU - Rossi, Graziano

AU - Ruggeri, Rossana

AU - Schneider, Donald

AU - Zhao, Gong Bo

PY - 2019

Y1 - 2019

N2 - We present constraints on local primordial non-Gaussianity (PNG), parametrized through floc NL, using the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample. We measure and analyze the anisotropic clustering of the quasars in Fourier space, testing for the scale-dependent bias introduced by primordial non-Gaussianity on large scales. We derive and employ a power spectrum estimator using optimal weights that account for the redshift evolution of the PNG signal. We find constraints of ..51 < floc NL < 21 at 95% conffidence level. These are among the tightest constraints from Large Scale Structure (LSS) data. Our redshift weighting improves the error bar by 15% in comparison to the unweighted case. If quasars have lower response to PNG, the constraint degrades to ..81 < floc NL < 26, with a 40% improvement over the standard approach. We forecast that the full eBOSS dataset could reach σfloc NL ≃5-8 using optimal methods and full range of scales.

AB - We present constraints on local primordial non-Gaussianity (PNG), parametrized through floc NL, using the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample. We measure and analyze the anisotropic clustering of the quasars in Fourier space, testing for the scale-dependent bias introduced by primordial non-Gaussianity on large scales. We derive and employ a power spectrum estimator using optimal weights that account for the redshift evolution of the PNG signal. We find constraints of ..51 < floc NL < 21 at 95% conffidence level. These are among the tightest constraints from Large Scale Structure (LSS) data. Our redshift weighting improves the error bar by 15% in comparison to the unweighted case. If quasars have lower response to PNG, the constraint degrades to ..81 < floc NL < 26, with a 40% improvement over the standard approach. We forecast that the full eBOSS dataset could reach σfloc NL ≃5-8 using optimal methods and full range of scales.

UR - https://www.scopus.com/pages/publications/85074091868

UR - https://www.scopus.com/inward/citedby.url?scp=85074091868&partnerID=8YFLogxK

U2 - 10.1088/1475-7516/2019/09/010

DO - 10.1088/1475-7516/2019/09/010

M3 - Article

AN - SCOPUS:85074091868

SN - 1475-7516

VL - 2019

JO - Journal of Cosmology and Astroparticle Physics

JF - Journal of Cosmology and Astroparticle Physics

M1 - 010

ER -

Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this