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-α (Ly-α) forest. However, no systematic error budget stemming from non-linearities in the 3D clustering of the Ly-α forest is included in the DESI-Ly-α analysis. In this work, we measure the size of the shift of the BAO peak using large Ly-α forest mocks produced on the N-body simulation suite AbacusSummit. Specifically, we measure the Ly-α auto-correlation and the Ly-α-quasar cross-correlation functions. We use the DESI Ly-α forest fitting pipeline, 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 50 on large scales. From the auto-correlation, we detect a small positive shift in radial direction of α = 0.35\% at the 3σ level and virtually no shift in the transverse direction, α. From the cross-correlation, we see a similar shift to α, albeit with larger error bars, and a small negative shift, α=0.25\%, at the 2σ level. We also make a connection with the Ly-α 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-α auto and the Ly-α-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-α forest analyses based on EFT. This work paves the way for the full-shape analysis of DESI and future surveys.
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