Forecasting cosmic acceleration measurements using the Lyman-$\alpha$ forest
Chenxing Dong (1), Anthony Gonzalez (1), Stephen Eikenberry (1), Sarik, Jeram (1), Manunya Likamonsavad (1), Jochen Liske (2), Deno Stelter (3),, Amanda Townsend (4) ((1) University of Florida, (2) Universit\"at Hamburg,, (3) UC Santa Cruz, (4) Apache Point Observatory

TL;DR
This study uses simulations of Lyman-alpha forest observations to evaluate the feasibility of detecting cosmic acceleration through redshift drift measurements with future telescopes, optimizing observational strategies.
Contribution
It introduces a refined simulation approach incorporating recent quasar data and realistic observing strategies to assess redshift drift detection capabilities.
Findings
Redshift drift detectable at 3σ in 15 years with a 25m telescope.
Optimal detection uses four quasars with tailored observing time.
Efficient strategies reduce telescope size or observation time needed.
Abstract
We present results from end-to-end simulations of observations designed to constrain the rate of change in the expansion history of the Universe using the redshift drift of the Lyman- forest absorption lines along the lines-of-sight toward bright quasars. For our simulations we take Lyman- forest lines extracted from Keck/HIRES spectra of bright quasars at , and compare the results from these real quasar spectra with mock spectra generated via Monte Carlo realizations. We use the results of these simulations to assess the potential for a dedicated observatory to detect redshift drift, and quantify the telescope and spectrograph requirements for these observations. Relative to Liske et al. (2008), two main refinements in the current work are inclusion of quasars from more recent catalogs and consideration of a realistic observing strategy for a dedicated redshift…
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