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) similar or equal to (13-15) +/- 3.0 up to z = 2, even from the small simulation volume similar to 0.009(h(-1)Gpc)(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.

An Optimal Estimator of Intrinsic Alignments for Star-forming Galaxies in IllustrisTNG Simulation / Shi, Jingjing; Osato, Ken; Kurita, Toshiki; Takada, Masahiro. - In: THE ASTROPHYSICAL JOURNAL. - ISSN 0004-637X. - 917:2(2021), pp. 1-7. [10.3847/1538-4357/ac0cfa]

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

Shi, Jingjing;
2021-01-01

Abstract

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) similar or equal to (13-15) +/- 3.0 up to z = 2, even from the small simulation volume similar to 0.009(h(-1)Gpc)(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.
2021
917
2
1
7
109
https://arxiv.org/abs/2104.12329
Shi, Jingjing; Osato, Ken; Kurita, Toshiki; Takada, Masahiro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/142062
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