Real galaxy mergers from galaxy pair catalogues
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Real galaxy mergers from galaxy pair catalogues. / Pfister, Hugo; Dotti, Massimo; Laigle, Clothilde; Dubois, Yohan; Volonteri, Marta.
In: Monthly Notices of the Royal Astronomical Society, Vol. 493, No. 1, 03.2020, p. 922-929.Research output: Contribution to journal › Journal article › Research › peer-review
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T1 - Real galaxy mergers from galaxy pair catalogues
AU - Pfister, Hugo
AU - Dotti, Massimo
AU - Laigle, Clothilde
AU - Dubois, Yohan
AU - Volonteri, Marta
PY - 2020/3
Y1 - 2020/3
N2 - Mergers of galaxies are extremely violent events shaping their evolution. Such events are thought to trigger starbursts and, possibly, black hole accretion. Nonetheless, it is still not clear how to know the fate of a galaxy pair from the data available at a given time, limiting our ability to constrain the exact role of mergers. In this paper we use the light-cone of the HORIZON-AGN simulation, for which we know the fate of each pair, to test three selection processes aiming at identifying true merging pairs. We find that the simplest one (selecting objects within two thresholds on projected distance d and redshift difference Delta z) gives similar results than the most complex one (based on a neural network analysing d, Delta z, redshift of the primary, masses/star formation rates/aspect ratio of both galaxies). Our best thresholds are d(th) similar to 100 kpc and Delta z(th) similar to 10(-3), in agreement with recent results.
AB - Mergers of galaxies are extremely violent events shaping their evolution. Such events are thought to trigger starbursts and, possibly, black hole accretion. Nonetheless, it is still not clear how to know the fate of a galaxy pair from the data available at a given time, limiting our ability to constrain the exact role of mergers. In this paper we use the light-cone of the HORIZON-AGN simulation, for which we know the fate of each pair, to test three selection processes aiming at identifying true merging pairs. We find that the simplest one (selecting objects within two thresholds on projected distance d and redshift difference Delta z) gives similar results than the most complex one (based on a neural network analysing d, Delta z, redshift of the primary, masses/star formation rates/aspect ratio of both galaxies). Our best thresholds are d(th) similar to 100 kpc and Delta z(th) similar to 10(-3), in agreement with recent results.
KW - galaxies: evolution
KW - galaxies: kinematics and dynamics
KW - methods: observational
KW - SUPERMASSIVE BLACK-HOLES
KW - ULTRALUMINOUS INFRARED GALAXIES
KW - COSMOLOGICAL SIMULATIONS
KW - MAJOR MERGERS
KW - EXTRA LIGHT
KW - EVOLUTION
KW - GROWTH
KW - DARK
KW - MATTER
KW - DISSIPATION
U2 - 10.1093/mnras/staa227
DO - 10.1093/mnras/staa227
M3 - Journal article
VL - 493
SP - 922
EP - 929
JO - Royal Astronomical Society. Monthly Notices
JF - Royal Astronomical Society. Monthly Notices
SN - 0035-8711
IS - 1
ER -
ID: 247935305