HYMALAIA: A Hybrid Lagrangian Model for Intrinsic Alignments
| Autor: | Maion, Francisco, Angulo, Raul E., Bakx, Thomas, Chisari, Nora Elisa, Kurita, Toshiki, Pellejero-Ibáñez, Marcos |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Monthly Notices of the Royal Astronomical Society, Volume 531, Issue 2, June 2024, Pages 2684-2700 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1093/mnras/stae1331 |
| Popis: | The intrinsic alignment of galaxies is an important ingredient for modelling weak-lensing measurements, and a potentially valuable cosmological and astrophysical signal. In this paper, we present HYMALAIA: a new model to predict the intrinsic alignments of biased tracers. HYMALAIA is based on a perturbative expansion of the statistics of the Lagrangian shapes of objects, which is then advected to Eulerian space using the fully non-linear displacement field obtained from $N$-body simulations. We demonstrate that HYMALAIA is capable of consistently describing monopole and quadrupole of halo shape-shape and matter-shape correlators, and that, without increasing the number of free parameters, it does so more accurately than other perturbatively inspired models such as the non-linear alignment (NLA) model and the tidal-alignment-tidal-torquing (TATT) model. Comment: 17 pages, 9 figures. Accepted version published in MNRAS |
| Databáze: | arXiv |
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