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Resolving the high redshift Lyman-alpha forest in smoothed particle hydrodynamics simulations

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arxiv 0906.2861 v1 pith:DYVAS66J submitted 2009-06-16 astro-ph.CO

Resolving the high redshift Lyman-alpha forest in smoothed particle hydrodynamics simulations

classification astro-ph.CO
keywords forestsimulationsmassparticleredshiftfluxhighhydrodynamics
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We use a large set of cosmological smoothed particle hydrodynamics (SPH) simulations to examine the effect of mass resolution and box size on synthetic Lya forest spectra at 2 \leq z \leq 5. The mass resolution requirements for the convergence of the mean Lya flux and flux power spectrum at z=5 are significantly stricter than at lower redshift. This is because transmission in the high redshift Lya forest is primarily due to underdense regions in the intergalactic medium (IGM), and these are less well resolved compared to the moderately overdense regions which dominate the Lya forest opacity at z~2-3. We further find that the gas density distribution in our simulations differs significantly from previous results in the literature at large overdensities (\Delta>10). We conclude that studies of the Lya forest at z=5 using SPH simulations require a gas particle mass of M_gas \leq 2x10^5 M_sol/h, which is >8 times the value required at z=2. A box size of at least 40 Mpc/h is preferable at all redshifts.

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  1. Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest

    astro-ph.CO 2026-05 unverdicted novelty 2.0

    Review of machine learning applications for analyzing Lyman-alpha forest observations to probe cosmology, reionization, and dark matter.