Towards a consistent framework of comparing galaxy mergers in observations and simulations
A&A, 644 (2020) A87
Published online: 2020-12-03
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Astronomical Image Superresolution Reconstruction with Deep Learning for Better Identification of Interacting Galaxies
Jiawei Miao, Liangping Tu, Hao Liu and Jian ZhaoThe Astrophysical Journal Supplement Series 278 (2) 35 (2025)
https://doi.org/10.3847/1538-4365/adca34
Classifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations
Rosa de Graaff, Berta Margalef-Bentabol, Lingyu Wang, Antonio La Marca, William J. Pearson, Vicente Rodriguez-Gomez and Mike WalmsleyAstronomy & Astrophysics 697 A207 (2025)
https://doi.org/10.1051/0004-6361/202452659
Galaxy evolution in the Post-Merger Regime – I. Most merger-induced in situ stellar mass growth happens post-coalescence
Leonardo Ferreira, Sara L Ellison, David R Patton, Shoshannah Byrne-Mamahit, Scott Wilkinson, Robert Bickley, Christopher J Conselice and Connor BottrellMonthly Notices of the Royal Astronomical Society: Letters 538 (1) L31 (2025)
https://doi.org/10.1093/mnrasl/slaf004
(2025)
https://doi.org/10.1016/B978-0-443-21439-4.00069-9
A post-merger enhancement only in star-forming Type 2 Seyfert galaxies: the deep learning view
M S Avirett-Mackenzie, C Villforth, M Huertas-Company, S Wuyts, D M Alexander, S Bonoli, A Lapi, I E Lopez, C Ramos Almeida and F ShankarMonthly Notices of the Royal Astronomical Society 528 (4) 6915 (2024)
https://doi.org/10.1093/mnras/stae183
Dust and power: Unravelling the merger-active galactic nucleus connection in the second half of cosmic history
A. La Marca, B. Margalef-Bentabol, L. Wang, F. Gao, A. D. Goulding, G. Martin, V. Rodriguez-Gomez, S. C. Trager, G. Yang, R. Davé and Y. DuboisAstronomy & Astrophysics 690 A326 (2024)
https://doi.org/10.1051/0004-6361/202348188
ERGO-ML: comparing IllustrisTNG and HSC galaxy images via contrastive learning
Lukas Eisert, Connor Bottrell, Annalisa Pillepich, Rhythm Shimakawa, Vicente Rodriguez-Gomez, Dylan Nelson, Eirini Angeloudi and Marc Huertas-CompanyMonthly Notices of the Royal Astronomical Society 528 (4) 7411 (2024)
https://doi.org/10.1093/mnras/stae481
Galaxy merger challenge: A comparison study between machine learning-based detection methods
B. Margalef-Bentabol, L. Wang, A. La Marca, C. Blanco-Prieto, D. Chudy, H. Domínguez-Sánchez, A. D. Goulding, A. Guzmán-Ortega, M. Huertas-Company, G. Martin, W. J. Pearson, V. Rodriguez-Gomez, M. Walmsley, R. W. Bickley, C. Bottrell, C. Conselice and D. O’RyanAstronomy & Astrophysics 687 A24 (2024)
https://doi.org/10.1051/0004-6361/202348239
The effect of image quality on galaxy merger identification with deep learning
Robert W Bickley, Scott Wilkinson, Leonardo Ferreira, Sara L Ellison, Connor Bottrell and Debarpita JyotiMonthly Notices of the Royal Astronomical Society 534 (3) 2533 (2024)
https://doi.org/10.1093/mnras/stae2246
A Physically Motivated Framework to Compare Pair Fractions of Isolated Low- and High-mass Galaxies across Cosmic Time
Katie Chamberlain, Gurtina Besla, Ekta Patel, Vicente Rodriguez-Gomez, Paul Torrey, Garreth Martin, Kelsey Johnson, Nitya Kallivayalil, David Patton, Sarah Pearson, George Privon and Sabrina StierwaltThe Astrophysical Journal 962 (2) 162 (2024)
https://doi.org/10.3847/1538-4357/ad19d0
hayate: photometric redshift estimation by hybridizing machine learning with template fitting
Shingo Tanigawa, K Glazebrook, C Jacobs, I Labbe and A K QinMonthly Notices of the Royal Astronomical Society 530 (2) 2012 (2024)
https://doi.org/10.1093/mnras/stae411
Determining the time before or after a galaxy merger event
W. J. Pearson, V. Rodriguez-Gomez, S. Kruk and B. Margalef-BentabolAstronomy & Astrophysics 687 A45 (2024)
https://doi.org/10.1051/0004-6361/202449532
Galaxy mergers in UNIONS – I. A simulation-driven hybrid deep learning ensemble for pure galaxy merger classification
Leonardo Ferreira, Robert W Bickley, Sara L Ellison, David R Patton, Shoshannah Byrne-Mamahit, Scott Wilkinson, Connor Bottrell, Sébastien Fabbro, Stephen D J Gwyn and Alan McConnachieMonthly Notices of the Royal Astronomical Society 533 (3) 2547 (2024)
https://doi.org/10.1093/mnras/stae1885
Hidden depths in the local Universe: The Stellar Stream Legacy Survey
David Martínez-Delgado, Andrew P. Cooper, Javier Román, et al.Astronomy & Astrophysics 671 A141 (2023)
https://doi.org/10.1051/0004-6361/202245011
A Census of WISE-selected Dual and Offset AGNs Across the Sky: New Constraints on Merger-driven Triggering of Obscured AGNs
R. Scott Barrows, Julia M. Comerford, Daniel Stern and Roberto J. AssefThe Astrophysical Journal 951 (2) 92 (2023)
https://doi.org/10.3847/1538-4357/acd2d3
Morphological signatures of mergers in the TNG50 simulation and the Kilo-Degree Survey: the merger fraction from dwarfs to Milky Way-like galaxies
Alejandro Guzmán-Ortega, Vicente Rodriguez-Gomez, Gregory F Snyder, Katie Chamberlain and Lars HernquistMonthly Notices of the Royal Astronomical Society 519 (4) 4920 (2023)
https://doi.org/10.1093/mnras/stac3334
AGNs in post-mergers from the ultraviolet near infrared optical northern survey
Robert W Bickley, Sara L Ellison, David R Patton and Scott WilkinsonMonthly Notices of the Royal Astronomical Society 519 (4) 6149 (2023)
https://doi.org/10.1093/mnras/stad088
The interplay between accretion, downsizing, and the formation of box/peanut bulges in TNG50
Stuart Robert Anderson, Steven Gough-Kelly, Victor P Debattista, Min Du, Peter Erwin, Virginia Cuomo, Joseph Caruana, Lars Hernquist and Mark VogelsbergerMonthly Notices of the Royal Astronomical Society 527 (2) 2919 (2023)
https://doi.org/10.1093/mnras/stad3271
Merger identification through photometric bands, colours, and their errors
L. E. Suelves, W. J. Pearson and A. PolloAstronomy & Astrophysics 669 A141 (2023)
https://doi.org/10.1051/0004-6361/202244509
North Ecliptic Pole merging galaxy catalogue
W. J. Pearson, L. E. Suelves, S. C.-C. Ho, et al.Astronomy & Astrophysics 661 A52 (2022)
https://doi.org/10.1051/0004-6361/202141013
A Simulation-driven Deep Learning Approach for Separating Mergers and Star-forming Galaxies: The Formation Histories of Clumpy Galaxies in All of the CANDELS Fields
Leonardo Ferreira, Christopher J. Conselice, Ulrike Kuchner and Clár-Bríd TohillThe Astrophysical Journal 931 (1) 34 (2022)
https://doi.org/10.3847/1538-4357/ac66ea
Star formation characteristics of CNN-identified post-mergers in the Ultraviolet Near Infrared Optical Northern Survey (UNIONS)
Robert W Bickley, Sara L Ellison, David R Patton, et al.Monthly Notices of the Royal Astronomical Society 514 (3) 3294 (2022)
https://doi.org/10.1093/mnras/stac1500
Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG
Robert W Bickley, Connor Bottrell, Maan H Hani, et al.Monthly Notices of the Royal Astronomical Society 504 (1) 372 (2021)
https://doi.org/10.1093/mnras/stab806
DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domains
A Ćiprijanović, D Kafkes, K Downey, et al.Monthly Notices of the Royal Astronomical Society 506 (1) 677 (2021)
https://doi.org/10.1093/mnras/stab1677