Low-redshift 3D Lyman-{\alpha} Forest Correlations with China Space Station Telescope
Ting Tan, Huanyuan Shan, Eric Armengaud

TL;DR
This paper assesses the potential of the China Space Station Telescope to measure low-redshift 3D Lyman-alpha forest correlations, enabling new insights into matter distribution and BAO features at redshifts below 2.
Contribution
It presents a forecast analysis of CSST's capability to measure low-redshift Lyα correlations and BAO features using mock spectra and clustering models.
Findings
Lyα bias parameters can be measured with 10-30% precision.
Forecasted 2.5-3.7σ detection of BAO feature.
Approximately 7-10% constraint on the BAO scale.
Abstract
While the Lyman- (Ly) forest traces the large-scale matter distribution over a wide range of redshift, its three-dimensional (3D) clustering at has not yet been measured. We investigate the prospects for measuring low-redshift Ly correlations with the UV slitless spectroscopic instrument of the China Space Station Telescope (CSST). We construct mock CSST quasar spectra that reproduce the expected survey depth, spectral resolution and noise properties, and derive Ly auto-correlation functions and cross-correlations with quasars (QSO) and emission-line galaxies (ELG) in the range . We then interpret these three-dimensional correlation functions with a standard anisotropic redshift-space clustering model and obtain forecast constraints on the Ly and tracer parameters. At an effective redshift (1.58 for ELGs),…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Radio Astronomy Observations and Technology
