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

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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.

Original languageEnglish (US)
Article number010
JournalJournal of Cosmology and Astroparticle Physics
Volume2019
DOIs
StatePublished - Jan 1 2019

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quasars
data structures
estimators
forecasting
power spectra
baryons
oscillations

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics

Cite this

Castorina, Emanuele ; Hand, Nick ; Seljak, Uroš ; Beutler, Florian ; Chuang, Chia Hsun ; Zhao, Cheng ; Gil-Marín, Héctor ; Percival, Will J. ; Ross, Ashley J. ; Choi, Peter Doohyun ; Dawson, Kyle ; De La Macorra, Axel ; Rossi, Graziano ; Ruggeri, Rossana ; Schneider, Donald ; Zhao, Gong Bo. / Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space. In: Journal of Cosmology and Astroparticle Physics. 2019 ; Vol. 2019.
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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 Uroš 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}",
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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

Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space. / Castorina, Emanuele; Hand, Nick; Seljak, Uroš; Beutler, Florian; Chuang, Chia Hsun; Zhao, Cheng; Gil-Marín, Héctor; Percival, Will J.; Ross, Ashley J.; Choi, Peter Doohyun; Dawson, Kyle; De La Macorra, Axel; Rossi, Graziano; Ruggeri, Rossana; Schneider, Donald; Zhao, Gong Bo.

In: Journal of Cosmology and Astroparticle Physics, Vol. 2019, 010, 01.01.2019.

Research output: Contribution to journalArticle

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 - 2019/1/1

Y1 - 2019/1/1

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.

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

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

M3 - Article

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JO - Journal of Cosmology and Astroparticle Physics

JF - Journal of Cosmology and Astroparticle Physics

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