HYMALAIA: A Hybrid Lagrangian Model for Intrinsic Alignments

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Maion, Francisco, Angulo, Raul E., Bakx, Thomas, Chisari, Nora Elisa, Kurita, Toshiki, Pellejero-Ibáñez, Marcos
Format: Preprint
Published: 2023
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910473455140864
author Maion, Francisco
Angulo, Raul E.
Bakx, Thomas
Chisari, Nora Elisa
Kurita, Toshiki
Pellejero-Ibáñez, Marcos
author_facet Maion, Francisco
Angulo, Raul E.
Bakx, Thomas
Chisari, Nora Elisa
Kurita, Toshiki
Pellejero-Ibáñez, Marcos
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2307_13754
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle HYMALAIA: A Hybrid Lagrangian Model for Intrinsic Alignments
Maion, Francisco
Angulo, Raul E.
Bakx, Thomas
Chisari, Nora Elisa
Kurita, Toshiki
Pellejero-Ibáñez, Marcos
Cosmology and Nongalactic Astrophysics
Astrophysics of Galaxies
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.
title HYMALAIA: A Hybrid Lagrangian Model for Intrinsic Alignments
topic Cosmology and Nongalactic Astrophysics
Astrophysics of Galaxies
url https://arxiv.org/abs/2307.13754