Separating the memory of reionisation from cosmology in the Lyα forest power spectrum at the post-reionisation era

Author:

Montero-Camacho Paulo12ORCID,Liu Yuchen234,Mao Yi2ORCID

Affiliation:

1. Department of Mathematics and Theory, Peng Cheng Laboratory , Shenzhen, Guangdong 518066, China

2. Department of Astronomy, Tsinghua University , Beijing 100084, China

3. Department of Physics and Astronomy, University College London , Gower Street, London WC1E 6BT, UK

4. Cavendish Astrophysics, University of Cambridge , Cambridge, CB3 0HE, UK

Abstract

ABSTRACTIt has been recently shown that the astrophysics of reionisation can be extracted from the Lyα forest power spectrum by marginalizing the memory of reionisation over cosmological information. This impact of cosmic reionisation on the Lyα forest power spectrum can survive cosmological time-scales because cosmic reionisation, which is inhomogeneous, and subsequent shocks from denser regions can heat the gas in low-density regions to ∼3 × 104 K and compress it to mean-density. Current approach of marginalization over the memory of reionisation, however, is not only model-dependent, based on the assumption of a specific reionisation model, but also computationally expensive. Here, we propose a simple analytical template for the impact of cosmic reionisation, thereby treating it as a broad-band systematic to be marginalized over for Bayesian inference of cosmological information from the Lyα forest in a model-independent manner. This template performs remarkably well with an error of $\le 6~{{\ \rm per\ cent}}$ at large scales k ≈ 0.19 Mpc−1, where the effect of the memory of reionisation is important, and reproduces the broad-band effect of the memory of reionisation in the Lyα forest correlation function, as well as the expected bias of cosmological parameters due to this systematic. The template can successfully recover the morphology of forecast errors in cosmological parameter space as expected when assuming a specific reionisation model for marginalization purposes, with a slight overestimation of tens of per cent for the forecast errors on the cosmological parameters. We further propose a similar template for this systematic on the Lyα forest 1D power spectrum.

Funder

National Key Research and Development Program of China

NSFC

National Square Kilometre Array Program of China

Tsinghua University

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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