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- W3101783506 abstract "Recent Lyα forest tomography measurements of the intergalactic medium (IGM) have revealed a wealth of cosmic structures at high redshift (z ∼ 2.5). In this work, we present the Tomographic Absorption Reconstruction and Density Inference Scheme (TARDIS), a new chronocosmographic analysis tool for understanding the formation and evolution of these observed structures. We use maximum likelihood techniques with a fast nonlinear gravitational model to reconstruct the initial density field of the observed regions. We find that TARDIS allows accurate reconstruction of smaller-scale structures than standard Wiener-filtering techniques. Applying this technique to mock Lyα forest data sets that simulate ongoing and future surveys such as CLAMATO, Subaru PFS, or the ELTs, we are able to infer the underlying matter density field at observed redshift and classify the cosmic web structures. We find good agreement with the underlying truth in both the characteristic eigenvalues and eigenvectors of the pseudo-deformation tensor, with the eigenvalues inferred from 30 m class telescopes correlated at r = 0.95 relative to the truth. As an output of this method, we are able to further evolve the inferred structures to late time (z = 0) and also track the trajectories of coeval z = 2.5 galaxies to their z = 0 cosmic web environments." @default.
- W3101783506 created "2020-11-23" @default.
- W3101783506 creator A5015903834 @default.
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- W3101783506 date "2019-12-11" @default.
- W3101783506 modified "2023-10-18" @default.
- W3101783506 title "TARDIS. I. A Constrained Reconstruction Approach to Modeling the <i>z</i> ∼ 2.5 Cosmic Web Probed by Ly<i>α</i> Forest Tomography" @default.
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- W3101783506 doi "https://doi.org/10.3847/1538-4357/ab4d4c" @default.
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