Forecast for the detectability of patchy hydrogen reionization in WEAVE-QSO measurements of the Lyman-α forest power spectrum at redshift z ≥ 4

Abstract We present the first detailed forecasts for the detectability of patchy hydrogen reionization in the one-dimensional Lyα forest power spectrum to be measured by the WEAVE-QSO survey. Using the Sherwood-relics reionization simulations and a WEAVE-QSO survey configuration, we generate mock spectra in four redshift bins, z = 4.0, 4.2, 4.4, and 4.6, in which relic ionization and temperature fluctuations from patchy hydrogen reionization enhance the Lyα forest power spectrum on large scales (i.e., at wavenumber $k\sim 10^{-3}\rm \, s\, km^{-1}$). Our Lyα forest pipeline forecasts the power spectrum covariance by considering sample size, spectral resolution, noise subtraction, continuum placement, metal contamination, and damping wings from high-column density absorbers. Applying our covariance forecast within a Bayesian parameter inference framework, we find that the signature of patchy hydrogen reionization should be detectable at a significance of ≃ 4.5σ. The forthcoming WEAVE-QSO 1D power spectrum measurements should therefore be able to directly detect and characterize the large-scale relic imprint of patchy hydrogen reionization in the Lyα forest power spectrum at z ≥ 4.

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Journal
Monthly Notices of the Royal Astronomical Society
Published
2026-10-29
DOI
https://doi.org/10.1093/mnras/stag2028
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article

Forecast for the detectability of patchy hydrogen reionization in WEAVE-QSO measurements of the Lyman-α forest power spectrum at redshift z ≥ 4

Rajeshwari Dutta, Vid Iršič, Prakash Gaikwad, F. Pistis et al.
Monthly Notices of the Royal Astronomical Society
Galaxies: Formation, Evolution, Phenomena
article

Forecast for the detectability of patchy hydrogen reionization in WEAVE-QSO measurements of the Lyman-α forest power spectrum at redshift z ≥ 4

Rajeshwari Dutta, Vid Iršič, Prakash Gaikwad, F. Pistis, Michele Fumagalli, E. Gafton, James S. Bolton, Matthew M. Pieri, Matteo Fossati, Trystyn A. M. Berg, Ke Ma, Ignasi Pérez Ràfols
article en

Abstract

Abstract We present the first detailed forecasts for the detectability of patchy hydrogen reionization in the one-dimensional Lyα forest power spectrum to be measured by the WEAVE-QSO survey. Using the Sherwood-relics reionization simulations and a WEAVE-QSO survey configuration, we generate mock spectra in four redshift bins, z = 4.0, 4.2, 4.4, and 4.6, in which relic ionization and temperature fluctuations from patchy hydrogen reionization enhance the Lyα forest power spectrum on large scales (i.e., at wavenumber $k\sim 10^{-3}\rm \, s\, km^{-1}$). Our Lyα forest pipeline forecasts the power spectrum covariance by considering sample size, spectral resolution, noise subtraction, continuum placement, metal contamination, and damping wings from high-column density absorbers. Applying our covariance forecast within a Bayesian parameter inference framework, we find that the signature of patchy hydrogen reionization should be detectable at a significance of ≃ 4.5σ. The forthcoming WEAVE-QSO 1D power spectrum measurements should therefore be able to directly detect and characterize the large-scale relic imprint of patchy hydrogen reionization in the Lyα forest power spectrum at z ≥ 4.

Monthly Notices of the Royal Astronomical Society
Camosun College (CA), Centre National de la Recherche Scientifique (FR), University of Hertfordshire (GB), University of Nottingham (GB), Aix-Marseille Université (FR), Trieste Astronomical Observatory (IT), Brera Astronomical Observatory (IT), National Centre for Nuclear Research (PL), Laboratoire d’Astrophysique de Marseille (FR), Isaac Newton Group (ES), Inter-University Centre for Astronomy and Astrophysics (IN), Indian Institute of Technology Indore (IN), University of Milano-Bicocca (IT), National Institute for Astrophysics (IT), Universitat Politècnica de Catalunya (ES)
UK Research and Innovation, University of Cambridge, Partnership for Advanced Computing in Europe AISBL, China Scholarship Council, Science and Technology Facilities Council
Openalex Percentile: Top 14%
Galaxies: Formation, Evolution, Phenomena
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