Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 512, Issue 2, Pages 2245-2265Publisher
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stac671
Keywords
methods: analytical; methods: data analysis; methods: numerical; methods: statistical; galaxies: haloes; large-scale structure of Universe
Categories
Funding
- Spanish Ministry of Economy and Competitiveness (MINECO) [SEV-2015-0548, AYA2017-89891-P, CEX2019-1124000920-S]
- ERC [SG 716151]
- [RYC2015-18693]
- [AYA2012-39702-C02-01]
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This study investigates the connection between the cosmic web and the distribution of halos through the gravitational potential at the field level. By using the invariants of the tidal field and the velocity shear tensor as generating functions, the researchers were able to accurately reproduce the halo number counts of a reference catalogue in the non-linear regime. The study also found evidence for non-local bias in the three-point statistics, highlighting the importance of a detailed description of tidal anisotropic clustering on large scales.
This work investigates the connection between the cosmic web and the halo distribution through the gravitational potential at the field level. We combine three fields of research, cosmic web classification, perturbation theory expansions of the halo bias, and halo (galaxy) mock catalogue making methods. In particular, we use the invariants of the tidal field and the velocity shear tensor as generating functions to reproduce the halo number counts of a reference catalogue from full gravity calculations, populating the dark matter field on a mesh well into the non-linear regime (3 h(-1) Mpc scales). Our results show an unprecedented agreement with the reference power spectrum within 1 per cent up to k = 0.72 h Mpc(-1). By analysing the three-point statistics on large scales (configurations of up to k = 0.2 h Mpc(-1)), we find evidence for non-local bias at the 4.8sconfidence level, being compatible with the reference catalogue. In particular, we find that a detailed description of tidal anisotropic clustering on large scales is crucial to achieve this accuracy at the field level. These findings can be particularly important for the analysis of the next generation of galaxy surveys in mock galaxy production.
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