The Lyman-alpha forest in three dimensions: measurements of large scale flux correlations from BOSS 1st-year data
An\v{z}e Slosar, Andreu Font-Ribera, Matthew M. Pieri, James Rich,, Jean-Marc Le Goff, \'Eric Aubourg, Jon Brinkmann, Nicolas Busca, Bill, Carithers, Romain Charlassier, Marina Cort\^es, Rupert Croft, Kyle S. Dawson,, Daniel Eisenstein, Jean-Christophe Hamilton, Shirley Ho

TL;DR
This paper measures three-dimensional flux correlations in the Lyman-alpha forest using BOSS data, detecting large-scale structures and redshift-space distortions, and constrains cosmological parameters within a standard LCDM model.
Contribution
First detection of flux correlations across widely separated sightlines in the Lyman-alpha forest and measurement of redshift-space distortions using BOSS data.
Findings
Flux correlations detected out to 60 Mpc/h separations.
Redshift-space distortion parameter beta constrained between 0.44 and 1.20.
Bias parameter b constrained between 0.16 and 0.24.
Abstract
Using a sample of approximately 14,000 z>2.1 quasars observed in the first year of the Baryon Oscillation Spectroscopic Survey (BOSS), we measure the three-dimensional correlation function of absorption in the Lyman-alpha forest. The angle-averaged correlation function of transmitted flux (F = exp(-tau)) is securely detected out to comoving separations of 60 Mpc/h, the first detection of flux correlations across widely separated sightlines. A quadrupole distortion of the redshift-space correlation function by peculiar velocities, the signature of the gravitational instability origin of structure in the Lyman-alpha forest, is also detected at high significance. We obtain a good fit to the data assuming linear theory redshift-space distortion and linear bias of the transmitted flux, relative to the matter fluctuations of a standard LCDM cosmological model (inflationary cold dark matter…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
