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

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
JournalJournal of Cosmology and Astroparticle Physics
DOIs
Publication statusPublished - 3 Sep 2019

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