Hymalaia: A Hybrid Lagrangian Model for Intrinsic Alignments

Francisco Maion; Raul E. Angulo; Thomas Bakx; Nora Elisa Chisari; Toshiki Kurita; Marcos Pellejero-Ibáñez

doi:10.1093/mnras/stae1331

Hymalaia: A Hybrid Lagrangian Model for Intrinsic Alignments

Francisco Maion^*, Raul E. Angulo, Thomas Bakx, Nora Elisa Chisari, Toshiki Kurita, Marcos Pellejero-Ibáñez

^*Corresponding author for this work

The University of Tokyo

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	2684-2700
Number of pages	17
Journal	Monthly Notices of the Royal Astronomical Society
Volume	531
Issue number	2
DOIs	https://doi.org/10.1093/mnras/stae1331
Publication status	Published - Jun 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.

Funding

The authors acknowledge the support of the E.R.C. grant 716151 (BACCO). REA acknowledges the support of the Project of excellence Prometeo/2020/085 from the Conselleria d'Innovacio, Universitats, Ciencia i Societat Digital de la Generalitat Valenciana, and of the project PID2021- 128338NB-I00 from the Spanish Ministry of Science. This publication is part of the project 'A rising tide: Galaxy IA as a new probe of cosmology and galaxy evolution' (with project number VI.Vidi.203.011) of the Talent programme Vidi which is (partly) financed by the Dutch Research Council (NWO). For the purpose of open access, a CC BY public copyright license is applied to any Author Accepted Manuscript version arising from this submission. This work is also part of the Delta ITP consortium, a program of the Netherlands Organisation for Scientific Research (NWO) that is funded by the Dutch Ministry of Education, Culture and Science (OCW). We also thank the Lorentz Center for helping us start this project during the workshop 'hol-IA: a holistic approach to galaxy IA' that took place in 2023 March.<SUP>4</SUP>

Funders	Funder number
E.R.C. grant	716151
Conselleria d'Innovacio, Universitats, Ciencia i Societat Digital de la Generalitat Valenciana	Prometeo/2020/085
Spanish Ministry of Science	PID2021- 128338NB-I00
Dutch Research Council (NWO)
Dutch Ministry of Education, Culture and Science (OCW)

Keywords

astro-ph.CO
astro-ph.GA

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10.1093/mnras/stae1331Licence: CC BY

stae1331Final published version, 2.12 MBLicence: CC BY

Cite this

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title = "Hymalaia: A Hybrid Lagrangian Model for Intrinsic Alignments",

abstract = " 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. ",

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language = "English",

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AU - Maion, Francisco

AU - Angulo, Raul E.

AU - Bakx, Thomas

AU - Chisari, Nora Elisa

AU - Kurita, Toshiki

AU - Pellejero-Ibáñez, Marcos

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Hymalaia: A Hybrid Lagrangian Model for Intrinsic Alignments

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Keywords

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