The Sherwood simulation suite: overview and data comparisons with the Lyman-alpha forest at redshifts 2 < z < 5
James S. Bolton (Nottingham), Ewald Puchwein (Cambridge), Debora, Sijacki (Cambridge), Martin G. Haehnelt (Cambridge), Tae-Sun Kim (Trieste),, Avery Meiksin (Edinburgh), John A. Regan (Durham), Matteo Viel (Trieste)

TL;DR
The Sherwood simulation suite provides high-resolution hydrodynamical models of the intergalactic medium, showing strong agreement with Lyman-alpha forest observations from redshifts 2 to 5, and highlighting minor discrepancies and areas for further refinement.
Contribution
This paper introduces the Sherwood simulation suite, a comprehensive set of large-scale, high-resolution hydrodynamical simulations with varied physics, and compares them to observational data of the Lyman-alpha forest.
Findings
Simulations agree well with observed Lyman-alpha forest data.
Minor discrepancies include underprediction of high column density absorption lines.
Temperature of intergalactic gas may be slightly too low at certain redshifts.
Abstract
We introduce a new set of large scale, high resolution hydrodynamical simulations of the intergalactic medium: the Sherwood simulation suite. These are performed in volumes 10^3-160^3 h^-3 comoving Mpc^{3}, span almost four orders of magnitude in mass resolution with up to 17.2 billion particles, and employ a variety of physics variations including warm dark matter and galactic outflows. We undertake a detailed comparison of the simulations to high resolution, high signal-to-noise observations of the Lyman-alpha forest over the redshift range 2 < z < 5. The simulations are in very good agreement with the observational data, lending further support to the paradigm that the Lyman-alpha forest is a natural consequence of the web-like distribution of matter arising in LCDM cosmological models. Only a small number of minor discrepancies remain with respect to the observational data.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
