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Guilhem Lavaux (Institut d'Astrophysique de Paris / CNRS)05/05/2022 14:30
Cosmic variance poses limits to the analyses of the physics of the nearby Universe, notably to establish an accurate observational link between halo formation history and galaxy properties. The BORG framework offers a way out by generating constrained initial conditions which reproduce all the Large scale structures in a simulated environment with minimal effects due to cosmic variance. By...
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Jiaxi Yu (EPFL)05/05/2022 14:45
SubHalo Abundance Matching (SHAM) is an empirical method for constructing galaxy catalogues based on high-resolution N-body simulations. We apply SHAM on the UNIT simulation to simulate SDSS BOSS/eBOSS Luminous Red Galaxies (LRGs) within a wide redshift range of 0.2 < z < 1.0. Besides the typical SHAM scatter parameter σ, we include v smear and Vceil to take into account the redshift...
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Antoine Rocher (IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur- Yvette, France)05/05/2022 15:00
We present the study of the dark matter (DM) halo-galaxy connection of the emission line galaxies (ELGs) in the Dark Energy Spectroscopic Instrument (DESI) survey. We use Halo Occupation Distribution (HOD) models to reproduce the clustering of the DESI survey validation (SV) data. We first present the results of fits to the projected correlation function (wp), and then improvements brought by...
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Chotipan Boonkongkird (Sorbonne University)05/05/2022 15:15
The inference of cosmological quantities needs accurate and large cosmological simulations. Yet, the computational time takes millions of CPU hours for a modest coverage in cosmological scales ($~(100 Mpc/h)^3$). This ML method could have a decisive impact on the results derived from QSO surveys, e.g., SDSS3/4 data, which has a resolution power of $R=1500$ and $R=2000$. But it could be...
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Alexie Leauthaud05/05/2022 17:00
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