Star-Gas Misalignment in Galaxies. I. the Properties of Galaxies from the Horizon-AGN Simulation and Comparisons to SAMI

Donghyeon J. Khim; Sukyoung K. Yi; Yohan Dubois; Julia J. Bryant; Christophe Pichon; Scott M. Croom; Joss Bland-Hawthorn; Sarah Brough; Hoseung Choi; Julien Devriendt; Brent Groves; Matt S. Owers; Samuel N. Richards; Jesse Van De Sande; Sarah M. Sweet

doi:10.3847/1538-4357/ab88a9

Star-Gas Misalignment in Galaxies. I. the Properties of Galaxies from the Horizon-AGN Simulation and Comparisons to SAMI

Donghyeon J. Khim, Sukyoung K. Yi, Yohan Dubois, Julia J. Bryant, Christophe Pichon, Scott M. Croom, Joss Bland-Hawthorn, Sarah Brough, Hoseung Choi, Julien Devriendt, Brent Groves, Matt S. Owers, Samuel N. Richards, Jesse Van De Sande, Sarah M. Sweet

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Abstract

Recent integral field spectroscopy observations have found that about 11% of galaxies show star-gas misalignment. The misalignment possibly results from external effects such as gas accretion, interaction with other objects, and other environmental effects, hence providing clues to these effects. We explore the properties of misaligned galaxies using Horizon-AGN, a large-volume cosmological simulation, and compare the results with those of the Sydney-AAO Multi-object integral field spectrograph (SAMI) Galaxy Survey. Horizon-AGN can match the overall misalignment fraction and reproduces the distribution of misalignment angles found by observations surprisingly closely. The misalignment fraction is found to be highly correlated with galaxy morphology both in observations and in the simulation: early-type galaxies are substantially more frequently misaligned than late-type galaxies. The gas fraction is another important factor associated with misalignment in the sense that misalignment increases with decreasing gas fraction. However, there is a significant discrepancy between the SAMI and Horizon-AGN data in the misalignment fraction for the galaxies in dense (cluster) environments. We discuss possible origins of misalignment and disagreement.

Original language	English
Article number	106
Journal	Astrophysical Journal
Volume	894
Issue number	2
DOIs	https://doi.org/10.3847/1538-4357/ab88a9
Publication status	Published - 10 May 2020

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Khim, D. J., Yi, S. K., Dubois, Y., Bryant, J. J., Pichon, C., Croom, S. M., Bland-Hawthorn, J., Brough, S., Choi, H., Devriendt, J., Groves, B., Owers, M. S., Richards, S. N., Sande, J. V. D., & Sweet, S. M. (2020). Star-Gas Misalignment in Galaxies. I. the Properties of Galaxies from the Horizon-AGN Simulation and Comparisons to SAMI. Astrophysical Journal, 894(2), Article 106. https://doi.org/10.3847/1538-4357/ab88a9

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title = "Star-Gas Misalignment in Galaxies. I. the Properties of Galaxies from the Horizon-AGN Simulation and Comparisons to SAMI",

abstract = "Recent integral field spectroscopy observations have found that about 11% of galaxies show star-gas misalignment. The misalignment possibly results from external effects such as gas accretion, interaction with other objects, and other environmental effects, hence providing clues to these effects. We explore the properties of misaligned galaxies using Horizon-AGN, a large-volume cosmological simulation, and compare the results with those of the Sydney-AAO Multi-object integral field spectrograph (SAMI) Galaxy Survey. Horizon-AGN can match the overall misalignment fraction and reproduces the distribution of misalignment angles found by observations surprisingly closely. The misalignment fraction is found to be highly correlated with galaxy morphology both in observations and in the simulation: early-type galaxies are substantially more frequently misaligned than late-type galaxies. The gas fraction is another important factor associated with misalignment in the sense that misalignment increases with decreasing gas fraction. However, there is a significant discrepancy between the SAMI and Horizon-AGN data in the misalignment fraction for the galaxies in dense (cluster) environments. We discuss possible origins of misalignment and disagreement.",

author = "Khim, {Donghyeon J.} and Yi, {Sukyoung K.} and Yohan Dubois and Bryant, {Julia J.} and Christophe Pichon and Croom, {Scott M.} and Joss Bland-Hawthorn and Sarah Brough and Hoseung Choi and Julien Devriendt and Brent Groves and Owers, {Matt S.} and Richards, {Samuel N.} and Sande, {Jesse Van De} and Sweet, {Sarah M.}",

year = "2020",

month = may,

day = "10",

doi = "10.3847/1538-4357/ab88a9",

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Khim, DJ, Yi, SK, Dubois, Y, Bryant, JJ, Pichon, C, Croom, SM, Bland-Hawthorn, J, Brough, S, Choi, H, Devriendt, J, Groves, B, Owers, MS, Richards, SN, Sande, JVD & Sweet, SM 2020, 'Star-Gas Misalignment in Galaxies. I. the Properties of Galaxies from the Horizon-AGN Simulation and Comparisons to SAMI', Astrophysical Journal, vol. 894, no. 2, 106. https://doi.org/10.3847/1538-4357/ab88a9

TY - JOUR

T1 - Star-Gas Misalignment in Galaxies. I. the Properties of Galaxies from the Horizon-AGN Simulation and Comparisons to SAMI

AU - Khim, Donghyeon J.

AU - Yi, Sukyoung K.

AU - Dubois, Yohan

AU - Bryant, Julia J.

AU - Pichon, Christophe

AU - Croom, Scott M.

AU - Bland-Hawthorn, Joss

AU - Brough, Sarah

AU - Choi, Hoseung

AU - Devriendt, Julien

AU - Groves, Brent

AU - Owers, Matt S.

AU - Richards, Samuel N.

AU - Sande, Jesse Van De

AU - Sweet, Sarah M.

PY - 2020/5/10

Y1 - 2020/5/10

N2 - Recent integral field spectroscopy observations have found that about 11% of galaxies show star-gas misalignment. The misalignment possibly results from external effects such as gas accretion, interaction with other objects, and other environmental effects, hence providing clues to these effects. We explore the properties of misaligned galaxies using Horizon-AGN, a large-volume cosmological simulation, and compare the results with those of the Sydney-AAO Multi-object integral field spectrograph (SAMI) Galaxy Survey. Horizon-AGN can match the overall misalignment fraction and reproduces the distribution of misalignment angles found by observations surprisingly closely. The misalignment fraction is found to be highly correlated with galaxy morphology both in observations and in the simulation: early-type galaxies are substantially more frequently misaligned than late-type galaxies. The gas fraction is another important factor associated with misalignment in the sense that misalignment increases with decreasing gas fraction. However, there is a significant discrepancy between the SAMI and Horizon-AGN data in the misalignment fraction for the galaxies in dense (cluster) environments. We discuss possible origins of misalignment and disagreement.

AB - Recent integral field spectroscopy observations have found that about 11% of galaxies show star-gas misalignment. The misalignment possibly results from external effects such as gas accretion, interaction with other objects, and other environmental effects, hence providing clues to these effects. We explore the properties of misaligned galaxies using Horizon-AGN, a large-volume cosmological simulation, and compare the results with those of the Sydney-AAO Multi-object integral field spectrograph (SAMI) Galaxy Survey. Horizon-AGN can match the overall misalignment fraction and reproduces the distribution of misalignment angles found by observations surprisingly closely. The misalignment fraction is found to be highly correlated with galaxy morphology both in observations and in the simulation: early-type galaxies are substantially more frequently misaligned than late-type galaxies. The gas fraction is another important factor associated with misalignment in the sense that misalignment increases with decreasing gas fraction. However, there is a significant discrepancy between the SAMI and Horizon-AGN data in the misalignment fraction for the galaxies in dense (cluster) environments. We discuss possible origins of misalignment and disagreement.

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U2 - 10.3847/1538-4357/ab88a9

DO - 10.3847/1538-4357/ab88a9

M3 - Article

SN - 0004-637X

VL - 894

JO - Astrophysical Journal

JF - Astrophysical Journal

IS - 2

M1 - 106

ER -

Star-Gas Misalignment in Galaxies. I. the Properties of Galaxies from the Horizon-AGN Simulation and Comparisons to SAMI

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