Measuring and unbiasing the BAO shift in the Lyman-Alpha forest with AbacusSummit
Abstract
The currently observing Dark Energy Spectroscopic Instrument (DESI) places sub-percent constraints on the Baryon Acoustic Oscillations (BAO) scaling parameters from the Lyman- (Ly-) forest. However, no systematic error budget stemming from non-linearities in the 3D clustering of the Ly- forest is included in the DESI-Ly- analysis. In this work, we measure the size of the shift of the BAO peak using large Ly- forest mocks produced on the -body simulation suite \textsc{AbacusSummit}. Specifically, we measure the Ly- auto-correlation and the Ly--quasar cross-correlation functions. We use the DESI Ly- forest fitting pipeline, \textsc{Vega}, with the publicly available covariance matrix from eBOSS DR16. To mitigate the noise, we adopt a linear control variates (LCV) technique, reducing the error bars by a factor of up to on large scales. From the auto-correlation, we detect a small positive shift in radial direction of at the 3 level and virtually no shift in the transverse direction, . From the cross-correlation, we see a similar shift to , albeit with larger error bars, and a small negative shift, 0.25\%, at the 2 level. We also make a connection with the Ly- forest effective field theory (EFT) framework and find that the one-loop EFT power spectrum yields unbiased measurements of the BAO shift parameters in radial and transverse direction for Ly- auto and the Ly--quasar cross-correlation measurements. When using the one-loop EFT framework, we find that we can recover the BAO parameters without a shift, which has important implications for future Ly- forest analyses based on EFT. This work paves the way for the full-shape analysis of DESI and future surveys.
Cite
@article{arxiv.2503.13442,
title = {Measuring and unbiasing the BAO shift in the Lyman-Alpha forest with AbacusSummit},
author = {Boryana Hadzhiyska and Roger de Belsunce and Andrei Cuceu and Julien Guy and Mikhail M. Ivanov and Henri Coquinot and Andreu Font-Ribera},
journal= {arXiv preprint arXiv:2503.13442},
year = {2025}
}
Comments
24 pages, 9 figures, 3 appendices