Intrinsic alignments of galaxies in the Illustris simulation

We study intrinsic alignments (IA) of galaxy image shapes within the Illustris cosmic structure formation simulations. We investigate how IA correlations depend on observable galaxy properties such as stellar mass, apparent magnitude, redshift and photometric type, and on the employed shape measurem...

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Main Authors: Hilbert, Stefan, Xu, Dandan, Schneider, Peter, Springel, Volker, Vogelsberger, Mark, Hernquist, Lars
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:English
Published: Oxford University Press (OUP) 2020
Online Access:https://hdl.handle.net/1721.1/126884
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author Hilbert, Stefan
Xu, Dandan
Schneider, Peter
Springel, Volker
Vogelsberger, Mark
Hernquist, Lars
author2 Massachusetts Institute of Technology. Department of Physics
author_facet Massachusetts Institute of Technology. Department of Physics
Hilbert, Stefan
Xu, Dandan
Schneider, Peter
Springel, Volker
Vogelsberger, Mark
Hernquist, Lars
author_sort Hilbert, Stefan
collection MIT
description We study intrinsic alignments (IA) of galaxy image shapes within the Illustris cosmic structure formation simulations. We investigate how IA correlations depend on observable galaxy properties such as stellar mass, apparent magnitude, redshift and photometric type, and on the employed shape measurement method. The correlations considered include the matter density- intrinsic ellipticity (mI), galaxy density-intrinsic ellipticity (dI), gravitational shear-intrinsic ellipticity (GI) and intrinsic ellipticity-intrinsic ellipticity (II) correlations. We find stronger correlations for more massive and more luminous galaxies, as well as for earlier photometric types, in agreement with observations. Moreover, the correlations significantly depend on the choice of shape estimator, even if calibrated to serve as unbiased shear estimators. In particular, shape estimators that down-weight the outer parts of galaxy images produce much weaker IA signals on intermediate and large scales than methods employing flat radial weights. The expected contribution of IA to the observed ellipticity correlation in tomographic cosmic shear surveys may be below one percent or several percent of the full signal depending on the details of the shape measurement method. A comparison of our results to a tidal alignment model indicates that such a model is able to reproduce the IA correlations well on intermediate and large scales, provided the effect of varying galaxy density is correctly taken into account. We also find that the GI contributions to the observed ellipticity correlations could be inferred directly frommeasurements of galaxy density-intrinsic ellipticity correlations, except on small scales, where systematic differences between mI and dI correlations are large.
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spelling mit-1721.1/1268842022-09-27T20:55:14Z Intrinsic alignments of galaxies in the Illustris simulation Hilbert, Stefan Xu, Dandan Schneider, Peter Springel, Volker Vogelsberger, Mark Hernquist, Lars Massachusetts Institute of Technology. Department of Physics We study intrinsic alignments (IA) of galaxy image shapes within the Illustris cosmic structure formation simulations. We investigate how IA correlations depend on observable galaxy properties such as stellar mass, apparent magnitude, redshift and photometric type, and on the employed shape measurement method. The correlations considered include the matter density- intrinsic ellipticity (mI), galaxy density-intrinsic ellipticity (dI), gravitational shear-intrinsic ellipticity (GI) and intrinsic ellipticity-intrinsic ellipticity (II) correlations. We find stronger correlations for more massive and more luminous galaxies, as well as for earlier photometric types, in agreement with observations. Moreover, the correlations significantly depend on the choice of shape estimator, even if calibrated to serve as unbiased shear estimators. In particular, shape estimators that down-weight the outer parts of galaxy images produce much weaker IA signals on intermediate and large scales than methods employing flat radial weights. The expected contribution of IA to the observed ellipticity correlation in tomographic cosmic shear surveys may be below one percent or several percent of the full signal depending on the details of the shape measurement method. A comparison of our results to a tidal alignment model indicates that such a model is able to reproduce the IA correlations well on intermediate and large scales, provided the effect of varying galaxy density is correctly taken into account. We also find that the GI contributions to the observed ellipticity correlations could be inferred directly frommeasurements of galaxy density-intrinsic ellipticity correlations, except on small scales, where systematic differences between mI and dI correlations are large. 2020-09-01T20:35:08Z 2020-09-01T20:35:08Z 2017-06 2017-02 2019-06-17T16:22:18Z Article http://purl.org/eprint/type/JournalArticle 0035-8711 1365-2966 https://hdl.handle.net/1721.1/126884 Hilbert, Stefan et al. "Intrinsic alignments of galaxies in the Illustris simulation." Monthly Notices of the Royal Astronomical Society 468, 1 (June 2017): 790–823 © 2017 The Authors en http://dx.doi.org/10.1093/mnras/stx482 Monthly Notices of the Royal Astronomical Society Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Oxford University Press (OUP) arXiv
spellingShingle Hilbert, Stefan
Xu, Dandan
Schneider, Peter
Springel, Volker
Vogelsberger, Mark
Hernquist, Lars
Intrinsic alignments of galaxies in the Illustris simulation
title Intrinsic alignments of galaxies in the Illustris simulation
title_full Intrinsic alignments of galaxies in the Illustris simulation
title_fullStr Intrinsic alignments of galaxies in the Illustris simulation
title_full_unstemmed Intrinsic alignments of galaxies in the Illustris simulation
title_short Intrinsic alignments of galaxies in the Illustris simulation
title_sort intrinsic alignments of galaxies in the illustris simulation
url https://hdl.handle.net/1721.1/126884
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