Deep learning for galaxy mergers in the galaxy main sequence

William J. Pearson; Lingyu Wang; James Trayford; Carlo E. Petrillo; Floris F. S. van der Tak

doi:10.1017/S1743921319002187

Deep learning for galaxy mergers in the galaxy main sequence

William J. Pearson, Lingyu Wang, James Trayford, Carlo E. Petrillo, Floris F. S. van der Tak

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Starburst galaxies are often found to be the result of galaxy mergers. As a result, galaxy mergers are often believed to lie above the galaxy main sequence: the tight correlation between stellar mass and star formation rate. Here, we aim to test this claim.

Original language	English
Title of host publication	Challenges in Panchromatic Modelling withNext Generation Facilities
Subtitle of host publication	Proceedings
Editors	M. Boquien, E. Lusso, C. Gruppioni , P. Tissera
Publisher	Cambridge University Press
Pages	104-108
Number of pages	5
Volume	15
DOIs	https://doi.org/10.1017/S1743921319002187
Publication status	Published - 10-Jun-2020

Publication series

Name	Proceedings of the International Astronomical Union
Publisher	International Astronomical Union
Number	S341
Volume	15
ISSN (Print)	743-9213
ISSN (Electronic)	1743-9221

Keywords

methods: data analysis
galaxies: evolution
galaxies: interactions
galaxies: starburst
infrared: galaxies
Astrophysics - Astrophysics of Galaxies

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10.1017/S1743921319002187

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Pearson, W. J., Wang, L., Trayford, J., Petrillo, C. E., & van der Tak, F. F. S. (2020). Deep learning for galaxy mergers in the galaxy main sequence. In M. Boquien, E. Lusso, C. Gruppioni , & P. Tissera (Eds.), Challenges in Panchromatic Modelling withNext Generation Facilities: Proceedings (Vol. 15, pp. 104-108). (Proceedings of the International Astronomical Union ; Vol. 15, No. S341). Cambridge University Press. https://doi.org/10.1017/S1743921319002187

Pearson, William J. ; Wang, Lingyu ; Trayford, James et al. / Deep learning for galaxy mergers in the galaxy main sequence. Challenges in Panchromatic Modelling withNext Generation Facilities: Proceedings. editor / M. Boquien ; E. Lusso ; C. Gruppioni ; P. Tissera. Vol. 15 Cambridge University Press, 2020. pp. 104-108 (Proceedings of the International Astronomical Union ; S341).

@inproceedings{fed04d61c95340718d513159910b71a0,

title = "Deep learning for galaxy mergers in the galaxy main sequence",

abstract = "Starburst galaxies are often found to be the result of galaxy mergers. As a result, galaxy mergers are often believed to lie above the galaxy main sequence: the tight correlation between stellar mass and star formation rate. Here, we aim to test this claim.",

keywords = "methods: data analysis, galaxies: evolution, galaxies: interactions, galaxies: starburst, infrared: galaxies, Astrophysics - Astrophysics of Galaxies",

author = "Pearson, {William J.} and Lingyu Wang and James Trayford and Petrillo, {Carlo E.} and {van der Tak}, {Floris F. S.}",

year = "2020",

month = jun,

day = "10",

doi = "10.1017/S1743921319002187",

language = "English",

volume = "15",

series = "Proceedings of the International Astronomical Union ",

publisher = "Cambridge University Press",

number = "S341",

pages = "104--108",

editor = "Boquien, {M. } and Lusso, {E. } and {Gruppioni }, {C. } and Tissera, {P. }",

booktitle = "Challenges in Panchromatic Modelling withNext Generation Facilities",

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Pearson, WJ, Wang, L, Trayford, J, Petrillo, CE & van der Tak, FFS 2020, Deep learning for galaxy mergers in the galaxy main sequence. in M Boquien, E Lusso, C Gruppioni & P Tissera (eds), Challenges in Panchromatic Modelling withNext Generation Facilities: Proceedings. vol. 15, Proceedings of the International Astronomical Union , no. S341, vol. 15, Cambridge University Press, pp. 104-108. https://doi.org/10.1017/S1743921319002187

Deep learning for galaxy mergers in the galaxy main sequence. / Pearson, William J.; Wang, Lingyu; Trayford, James et al.

Challenges in Panchromatic Modelling withNext Generation Facilities: Proceedings. ed. / M. Boquien; E. Lusso; C. Gruppioni ; P. Tissera. Vol. 15 Cambridge University Press, 2020. p. 104-108 (Proceedings of the International Astronomical Union ; Vol. 15, No. S341).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Deep learning for galaxy mergers in the galaxy main sequence

AU - Pearson, William J.

AU - Wang, Lingyu

AU - Trayford, James

AU - Petrillo, Carlo E.

AU - van der Tak, Floris F. S.

PY - 2020/6/10

Y1 - 2020/6/10

N2 - Starburst galaxies are often found to be the result of galaxy mergers. As a result, galaxy mergers are often believed to lie above the galaxy main sequence: the tight correlation between stellar mass and star formation rate. Here, we aim to test this claim.

AB - Starburst galaxies are often found to be the result of galaxy mergers. As a result, galaxy mergers are often believed to lie above the galaxy main sequence: the tight correlation between stellar mass and star formation rate. Here, we aim to test this claim.

KW - methods: data analysis

KW - galaxies: evolution

KW - galaxies: interactions

KW - galaxies: starburst

KW - infrared: galaxies

KW - Astrophysics - Astrophysics of Galaxies

U2 - 10.1017/S1743921319002187

DO - 10.1017/S1743921319002187

M3 - Conference contribution

VL - 15

T3 - Proceedings of the International Astronomical Union

SP - 104

EP - 108

BT - Challenges in Panchromatic Modelling withNext Generation Facilities

A2 - Boquien, M.

A2 - Lusso, E.

A2 - Gruppioni , C.

A2 - Tissera, P.

PB - Cambridge University Press

ER -

Pearson WJ, Wang L, Trayford J, Petrillo CE, van der Tak FFS. Deep learning for galaxy mergers in the galaxy main sequence. In Boquien M, Lusso E, Gruppioni C, Tissera P, editors, Challenges in Panchromatic Modelling withNext Generation Facilities: Proceedings. Vol. 15. Cambridge University Press. 2020. p. 104-108. (Proceedings of the International Astronomical Union ; S341). doi: 10.1017/S1743921319002187