An Optimal Estimator of Intrinsic Alignments for Star-forming Galaxies in IllustrisTNG Simulation - Archive ouverte HAL
Article Dans Une Revue The Astrophysical Journal Année : 2021

An Optimal Estimator of Intrinsic Alignments for Star-forming Galaxies in IllustrisTNG Simulation

Résumé

Emission line galaxies (ELGs), more generally star-forming galaxies, are valuable tracers of large-scale structure and therefore main targets of upcoming wide-area spectroscopic galaxy surveys. We propose a fixed-aperture shape estimator of each ELG for extracting the intrinsic alignment (IA) signal, and assess the performance of the method using image simulations of ELGs generated from the IllustrisTNG simulation including observational effects such as the sky background noise. We show that our method enables a significant detection of the IA power spectrum with the linear-scale coefficient A IA ≃ (13–15) ± 3.0 up to z = 2, even from the small simulation volume , in contrast to the null detection with the standard method. Thus the ELG IA signal, measured with our method, opens up opportunities to exploit cosmology and galaxy physics in high-redshift universe.
Fichier principal
Vignette du fichier
Shi_2021_ApJ_917_109.pdf (1.53 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-03224708 , version 1 (27-08-2024)

Licence

Identifiants

Citer

Jingjing Shi, Ken Osato, Toshiki Kurita, Masahiro Takada. An Optimal Estimator of Intrinsic Alignments for Star-forming Galaxies in IllustrisTNG Simulation. The Astrophysical Journal, 2021, 917 (2), pp.109. ⟨10.3847/1538-4357/ac0cfa⟩. ⟨hal-03224708⟩
83 Consultations
8 Téléchargements

Altmetric

Partager

More