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; C. Zhao; Hector Gil Marin; Will Percival; A. J. Ross; Peter Doohyun Choi; Kyle S. Dawson; Axel de la Macorra; Graziano Rossi; Rossana Ruggeri; Donald P. Schneider; ZHAO GONGBO

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, C. Zhao, Hector Gil Marin, Will Percival, A. J. Ross, Peter Doohyun Choi, Kyle S. Dawson, Axel de la Macorra, Graziano Rossi, Rossana Ruggeri, Donald P. Schneider, ZHAO GONGBO

School of Physics and Astronomy

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We present constraints on local primordial non-Gaussianity (PNG), parametrized through ƒNLloc, 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<ƒ_NL^loc<21 at 95% confidence 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<ƒ_NL^loc<26, with a 40% improvement over the standard approach. We forcast that the full eBOSS dataset could reach σ ƒ_NL^loc 5-8 using optimal methods and full range of scales.

Original language	English
Journal	Journal of Cosmology and Astroparticle Physics
DOIs	https://doi.org/10.1088/1475-7516/2019/09/010
Publication status	Published - 3 Sept 2019

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10.1088/1475-7516/2019/09/010

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Castorina, E., Hand, N., Seljak, U., Beutler, F., Chuang, C.-H., Zhao, C., Marin, H. G., Percival, W., Ross, A. J., Choi, P. D., Dawson, K. S., Macorra, A. D. L., Rossi, G., Ruggeri, R., Schneider, D. P., & GONGBO, ZHAO. (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. https://doi.org/10.1088/1475-7516/2019/09/010

@article{18e7c1f9ceaa4e35a478afc15472c894,

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 ƒNLloc, 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<ƒNLloc<21 at 95% confidence 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<ƒNLloc<26, with a 40% improvement over the standard approach. We forcast that the full eBOSS dataset could reach σ ƒNLloc 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 Chia-Hsun Chuang and C. Zhao and Marin, {Hector Gil} and Will Percival and Ross, {A. J.} and Choi, {Peter Doohyun} and Dawson, {Kyle S.} and Macorra, {Axel de la} and Graziano Rossi and Rossana Ruggeri and Schneider, {Donald P.} and ZHAO GONGBO",

year = "2019",

month = sep,

day = "3",

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

language = "English",

journal = "Journal of Cosmology and Astroparticle Physics",

issn = "1475-7516",

publisher = "IOP Publishing",

}

Castorina, E, Hand, N, Seljak, U, Beutler, F, Chuang, C-H, Zhao, C, Marin, HG, Percival, W, Ross, AJ, Choi, PD, Dawson, KS, Macorra, ADL, Rossi, G, Ruggeri, R, Schneider, DP & GONGBO, ZHAO 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. 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, C.

AU - Marin, Hector Gil

AU - Percival, Will

AU - Ross, A. J.

AU - Choi, Peter Doohyun

AU - Dawson, Kyle S.

AU - Macorra, Axel de la

AU - Rossi, Graziano

AU - Ruggeri, Rossana

AU - Schneider, Donald P.

AU - GONGBO, ZHAO

PY - 2019/9/3

Y1 - 2019/9/3

N2 - We present constraints on local primordial non-Gaussianity (PNG), parametrized through ƒNLloc, 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<ƒNLloc<21 at 95% confidence 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<ƒNLloc<26, with a 40% improvement over the standard approach. We forcast that the full eBOSS dataset could reach σ ƒNLloc 5-8 using optimal methods and full range of scales.

AB - We present constraints on local primordial non-Gaussianity (PNG), parametrized through ƒNLloc, 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<ƒNLloc<21 at 95% confidence 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<ƒNLloc<26, with a 40% improvement over the standard approach. We forcast that the full eBOSS dataset could reach σ ƒNLloc 5-8 using optimal methods and full range of scales.

UR - https://researchportal.port.ac.uk/portal/en/publications/redshiftweighted-constraints-on-primordial-nongaussianity-from-the-clustering-of-the-eboss-dr14-quasars-in-fourier-space(99b004c8-78d5-4f40-91ef-36d88172e347).html

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

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

M3 - Article

SN - 1475-7516

JO - Journal of Cosmology and Astroparticle Physics

JF - Journal of Cosmology and Astroparticle Physics

ER -

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

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