Detection of Ly\beta auto-correlations and Ly\alpha-Ly\beta cross-correlations in BOSS Data Release 9
Vid Ir\v{s}i\v{c}, An\v{z}e Slosar, Stephen Bailey, Daniel J., Eisenstein, Andreu Font-Ribera, Jean-Marc Le Goff, Britt Lundgren, Patrick, McDonald, Ross O'Connell, Nathalie Palanque-Delabrouille, Patrick Petitjean,, Jim Rich, Graziano Rossi, Donald P. Schneider, Erin S. Sheldon

TL;DR
This paper reports the first detection of the Lyβ auto-correlation and Lyα-Lyβ cross-correlation in BOSS Data Release 9, providing new insights into the intergalactic medium and extending the Lyα forest analysis.
Contribution
It introduces an optimal quadratic estimator to measure Lyβ and cross-power spectra, and presents the first detection of these signals in large quasar samples.
Findings
Lyβ power spectrum detected with high significance
Lyα-Lyβ cross-correlation coefficient near 1 on large scales
Contamination from OVI absorption affects Lyβ measurements
Abstract
The Lyman- forest refers to a region in the spectra of distant quasars that lies between the rest-frame Lyman- and Lyman- emissions. The forest in this region is dominated by a combination of absorption due to resonant Ly and Ly scattering. When considering the 1D Ly forest in addition to the 1D Ly forest, the full statistical description of the data requires four 1D power spectra: Ly and Ly auto-power spectra and the Ly-Ly real and imaginary cross-power spectra. We describe how these can be measured using an optimal quadratic estimator that naturally disentangles Ly and Ly contributions. Using a sample of approximately 60,000 quasar sight-lines from the BOSS Data Release 9, we make the measurement of the one-dimensional power spectrum of fluctuations due to the Ly resonant…
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