The Lyα forest flux correlation function: a perturbation theory perspective

Author:

Chen Shi-Fan,Vlah Zvonimir,White Martin

Abstract

Abstract The Lyα forest provides one of the best means of mapping large-scale structure at high redshift, including our tightest constraint on the distance-redshift relation before cosmic noon. We describe how the large-scale correlations in the Lyα forest can be understood as an expansion in cumulants of the optical depth field, which itself can be related to the density field by a bias expansion. This provides a direct connection between the observable and the statistics of the matter fluctuations which can be computed in a systematic manner. We discuss the way in which complex, small-scale physics enters the predictions, the origin of the much-discussed velocity bias and the `renormalization' of the large-scale bias coefficients. Our calculations are within the context of perturbation theory, but we also make contact with earlier work using the peak-background split. Using the structure of the equations of motion we demonstrate, to all orders in perturbation theory, that the large-scale flux power spectrum becomes the linear spectrum times the square of a quadratic in the cosine of the angle to the line of sight. Unlike the case of galaxies, both the isotropic and anisotropic pieces receive contributions from small-scale physics.

Publisher

IOP Publishing

Subject

Astronomy and Astrophysics

Reference70 articles.

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The 3D Lyman-α forest power spectrum from eBOSS DR16;Monthly Notices of the Royal Astronomical Society;2024-08-29

2. The Negative Baryon Acoustic Oscillation Shift in the Lyα Forest from Cosmological Simulations;The Astrophysical Journal Letters;2024-08-01

3. Lyman alpha forest power spectrum in effective field theory;Physical Review D;2024-01-05

4. Decaying Dark Matter and Lyman-α forest constraints;Journal of Cosmology and Astroparticle Physics;2023-10-01

5. The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data;Monthly Notices of the Royal Astronomical Society;2023-06-06

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