Published August 1, 2021 | Version v1
Journal article

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

  • 1. Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba, 277-8583 (Japan)
  • 2. Institut d'Astrophysique de Paris, Sorbonne Université, CNRS, UMR 7095, F-75014 Paris (France)

Description

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 0.009 ( h 1 G p c ) 3 , 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.

Availability note (English)

Available from http://dx.doi.org/10.3847/1538-4357/ac0cfa

Additional details

Identifiers

Publishing Information

Journal Title
Astrophysical Journal
Journal Volume
917
Journal Issue
2
Journal Page Range
[7 p.]
ISSN
0004-637X
CODEN
ASJOAB

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53076386
Subject category
S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY; S47: OTHER INSTRUMENTATION;
Descriptors DEI
BACKGROUND NOISE; COMPUTERIZED SIMULATION; COSMOLOGY; DETECTION; GALAXIES; PERFORMANCE; RED SHIFT; SIGNALS; SPECTRA; STARS; UNIVERSE
Descriptors DEC
NOISE; SIMULATION