The 3D Lyman-α forest power spectrum from eBOSS DR16

Author:

de Belsunce Roger12ORCID,Philcox Oliver H E34ORCID,Iršič Vid56,McDonald Patrick1,Guy Julien1,Palanque-Delabrouille Nathalie1

Affiliation:

1. Physics Division, Lawrence Berkeley National Laboratory , One Cyclotron Road, Berkeley CA 94720 , USA

2. Berkeley Center for Cosmological Physics, Department of Physics, University of California , Berkeley, CA 94720 , USA

3. Department of Physics, Columbia University , New York, NY 10027 , USA

4. Simons Society of Fellows, Simons Foundation , New York, NY 10010 , USA

5. Kavli Institute for Cosmology, University of Cambridge , Madingley Road, Cambridge CB3 OHA , UK

6. Cavendish Laboratory, University of Cambridge , 19 J. J. Thomson Ave., Cambridge CB3 0HE , UK

Abstract

ABSTRACT We measure the three-dimensional power spectrum (P3D) of the transmitted flux in the Lyman-$\alpha$ (Ly $\alpha$) forest using the complete extended Baryon Oscillation Spectroscopic Survey data release 16 (eBOSS DR16). This sample consists of $\sim$205 000 quasar spectra in the redshift range $2\le z \le 4$ at an effective redshift $z=2.334$. We propose a pair-count spectral estimator in configuration space, weighting each pair by $\exp (i\mathbf {k}\cdot \mathbf {r})$, for wave vector $\mathbf {k}$ and pixel pair separation $\mathbf {r}$, effectively measuring the anisotropic power spectrum without the need for fast Fourier transforms. This accounts for the window matrix in a tractable way, avoiding artefacts found in Fourier-transform based power spectrum estimators due to the sparse sampling transverse to the line of sight of Ly $\alpha$ skewers. We extensively test our pipeline on two sets of mocks: (i) idealized Gaussian random fields with a sparse sampling of Ly $\alpha$ skewers, and (ii) log-normal LyaCoLoRe mocks including realistic noise levels, the eBOSS survey geometry and contaminants. On eBOSS DR16 data, the Kaiser formula with a non-linear correction term obtained from hydrodynamic simulations yields a good fit to the power spectrum data in the range $(0.02 \le k \le 0.35)\, h\, {\rm Mpc}^{-1}\,$ at the 1–2σ level with a covariance matrix derived from LyaCoLoRe mocks. We demonstrate a promising new approach for full-shape cosmological analyses of Ly $\alpha$ forest data from cosmological surveys such as eBOSS, the currently observing Dark Energy Spectroscopic Instrument and future surveys such as the Prime Focus Spectrograph, WEAVE-QSO, and 4MOST.

Funder

DOE

Office of Science

National Energy Research Scientific Computing Center

Kavli Foundation

Alfred P. Sloan Foundation

U.S. Department of Energy Office of Science

University of Utah

Publisher

Oxford University Press (OUP)

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