J/MNRAS/404/1295ivo://CDS.VizieR/J/MNRAS/404/1295doi:10.26093/cds/vizier.74041295CDSPeeples M.S.Weinberg D.H.Dave R.Fardal M.A.Katz N.2024-07-11T20:16:23Z2010-12-30T11:54:07ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frinterstellar-mediumastronomical-modelsredshiftedWe examine the impact of gas pressure on the transverse coherence of high-redshift (2>=z>=4) Lyman{alpha} (Lyalpha) forest absorption along neighbouring lines of sight that probe the gas Jeans scale (projected separation {Delta}rp<=500h^-1^kpc comoving, angular separation {Delta}{theta}<=30arcsec). We compare predictions from two smoothed particle hydrodynamics simulations that have different photoionization heating rates and thus different temperature-density relations in the intergalactic medium (IGM). We also compare spectra computed from the gas distributions to those computed from the pressureless dark matter.2010MNRAS.404.1295Phttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/404/1295CatalogResearchIsServedByTAP VizieR generic servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/404/1295https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/404/1295http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/404/1295https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/404/1295https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/404/1295http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/404/1295GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapOpticaldefaultJ/MNRAS/404/1295/summaryList of files resulting from simulationrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintT[1/8] Table number (1)meta.id;meta.mainintModModel: "fid" (fiducial) or "H4" (heating rate from photoionization by UV background is 4 times higher)stat.param;meta.modelledcharz[2/4] Redshift (2, 2.5, 3 or 4)src.redshiftfloatTablemeta.ref.urlcharplotmeta.ref.urlchar