Modelling the Lyman-α forest with Eulerian and SPH hydrodynamical methods

Chabanier, Solène; Emberson, J. D.; Lukić, Zarija; Pulido, Jesus; Habib, Salman; Rangel, Esteban; Sexton, Jean; Frontiere, Nicholas; Buehlmann, Michael

doi:10.1093/mnras/stac3294

Title: Modelling the Lyman-α forest with Eulerian and SPH hydrodynamical methods

Journal Article · Wed Nov 16 00:00:00 EST 2022 · Monthly Notices of the Royal Astronomical Society

DOI:https://doi.org/10.1093/mnras/stac3294· OSTI ID:1902490

; Emberson, J. D.; Lukić, Zarija; Pulido, Jesus; Habib, Salman; Rangel, Esteban; Sexton, Jean; Frontiere, Nicholas; Buehlmann, Michael

ABSTRACT We compare two state-of-the-art numerical codes to study the overall accuracy in modelling the intergalactic medium and reproducing Lyman-α forest observables for DESI and high-resolution data sets. The codes employ different approaches to solving both gravity and modelling the gas hydrodynamics. The first code, Nyx, solves the Poisson equation using the Particle-Mesh (PM) method and the Euler equations using a finite-volume method. The second code, CRK-HACC , uses a Tree-PM method to solve for gravity, and an improved Lagrangian smoothed particle hydrodynamics (SPH) technique, where fluid elements are modelled with particles, to treat the intergalactic gas. We compare the convergence behaviour of the codes in flux statistics as well as the degree to which the codes agree in the converged limit. We find good agreement overall with differences being less than observational uncertainties, and a particularly notable ≲1 per cent agreement in the 1D flux power spectrum. This agreement was achieved by applying a tessellation methodology for reconstructing the density in CRK-HACC instead of using an SPH kernel as is standard practice. We show that use of the SPH kernel can lead to significant and unnecessary biases in flux statistics; this is especially prominent at high redshifts, z ∼ 5, as the Lyman-α forest mostly comes from lower-density regions that are intrinsically poorly sampled by SPH particles.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: AC02-05CH11231; AC02-06CH11357; AC05-00OR22725

OSTI ID:: 1902490

Alternate ID(s):: OSTI ID: 2305697

Journal Information:: Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Vol. 518 Journal Issue: 3; ISSN 0035-8711

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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