Deep learning for galaxy mergers in the galaxy main sequence

Galaxy Mergers and Some Consequences: The Cosmological Context

Rodriguez-Gomez, Vicente

July 2017

The last few years have seen enormous progress in the field of galaxy formation and evolution. The l...

Constraining the Major Merging History of Massive Galaxies: A Comprehensive Analysis of Close Pairs and Tidal Features Using Empirical and Simulated Data

Mantha, Kameswara Bharadwaj

August 2021

Title from PDF of title page viewed August 16, 2021Dissertation advisor; Daniel H. McIntoshVitaInclu...

Observational constraints on the merger history of galaxies since z ≈ 6: probabilistic galaxy pair counts in the CANDELS fields

Duncan, Kenneth
Conselice, Christopher J.
Mundy, Carl
Bell, Eric
Donley, Jennifer
Galametz, Audrey
Guo, Yicheng
Grogin, Norman A.
Hathi, Nimish
Kartaltepe, Jeyhan
Kocevski, Dale
Koekemoer, Anton M.
Pérez González, Pablo Guillermo
Mantha, Kameswara B.
Snyder, Gregory F.
Stefanon, Mauro

May 2019

Galaxy mergers are expected to have a significant role in the mass assembly of galaxies in the early...

Deep learning for galaxy mergers in the galaxy main sequence

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

June 2020

Starburst galaxies are often found to be the result of galaxy mergers. As a result, galaxy mergers a...

Effect of galaxy mergers on star-formation rates

Pearson, WJ
Wang, L
Alpaslan, M
Baldry, I
Bilicki, M
Brown, MJI
Grootes, MW
Holwerda, BW
Kitching, TD
Kruk, S
Van Der Tak, FFS

November 2019

CONTEXT: Galaxy mergers and interactions are an integral part of our basic understanding of how gala...

Identifying galaxy mergers in observations and simulations with deep learning

Pearson, W. J.
Wang, L.
Trayford, J. W.
Petrillo, C. E.
van der Tak, F. F. S.

June 2019

Context. Mergers are an important aspect of galaxy formation and evolution. With large upcoming surv...

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

Ferreira, Leonardo
Conselice, Christopher J.
Kuchner, Ulrike
Tohill, Clár-Bríd

May 2022

Being able to distinguish between galaxies that have recently undergone major-merger events, or are ...

Effect of galaxy mergers on star formation rates

Pearson, WJ
Wang, L
Alpaslan, M
Baldry, IK
Bilicki, M
Brown, MJI
Grootes, MW
Holwerda, BW
Kitching, TD
Kruk, S
Tak, FFSVD

Galaxy mergers and interactions are an integral part of our basic understanding of how galaxies grow...

A Simulation Driven Deep Learning Approach for Separating Mergers and Star Forming Galaxies: The Formation Histories of Clumpy Galaxies in all the CANDELS Fields

Ferreira, Leonardo
Conselice, Christopher J.
Kuchner, Ulrike
Tohill, Clar-Bríd

April 2022

Being able to distinguish between galaxies that have recently undergone major merger events, or are ...

Automated distant galaxy merger classifications from Space Telescope images using the Illustris simulation

Snyder, Gregory F
Rodriguez-Gomez, Vicente
Lotz, Jennifer M
Torrey, Paul
Quirk, Amanda CN
Hernquist, Lars
Vogelsberger, Mark
Freeman, Peter E

November 2020

Deep learning predictions of galaxy merger stage and the importance of observational realism

Bottrell, Connor
Hani, Maan H.
Teimoorinia, Hossen
Ellison, Sara L.
Moreno, Jorge
Torrey, Paul
Hayward, Christopher C.
Thorp, Mallory
Simard, Luc
Hernquist, Lars

December 2019

Machine learning is becoming a popular tool to quantify galaxy morphologies and identify mergers. Ho...

Using transfer learning to detect galaxy mergers

Ackermann, Sandro
Schawinski, Kevin
Zhang, Ce
Weigel, Anna K.
Turp, M.D.

September 2018

We investigate the use of deep convolutional neural networks (deep CNNs) for automatic visual detect...

Galaxy Mergers and Some Consequences: The Cosmological Context

Rodriguez-Gomez, Vicente

July 2017

The last few years have seen enormous progress in the field of galaxy formation and evolution. The l...

Constraining the Major Merging History of Massive Galaxies: A Comprehensive Analysis of Close Pairs and Tidal Features Using Empirical and Simulated Data

Mantha, Kameswara Bharadwaj

August 2021

Title from PDF of title page viewed August 16, 2021Dissertation advisor; Daniel H. McIntoshVitaInclu...

Observational constraints on the merger history of galaxies since z ≈ 6: probabilistic galaxy pair counts in the CANDELS fields

Duncan, Kenneth
Conselice, Christopher J.
Mundy, Carl
Bell, Eric
Donley, Jennifer
Galametz, Audrey
Guo, Yicheng
Grogin, Norman A.
Hathi, Nimish
Kartaltepe, Jeyhan
Kocevski, Dale
Koekemoer, Anton M.
Pérez González, Pablo Guillermo
Mantha, Kameswara B.
Snyder, Gregory F.
Stefanon, Mauro

May 2019

Galaxy mergers are expected to have a significant role in the mass assembly of galaxies in the early...

Deep learning for galaxy mergers in the galaxy main sequence

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

June 2020

Starburst galaxies are often found to be the result of galaxy mergers. As a result, galaxy mergers a...

Effect of galaxy mergers on star-formation rates

Pearson, WJ
Wang, L
Alpaslan, M
Baldry, I
Bilicki, M
Brown, MJI
Grootes, MW
Holwerda, BW
Kitching, TD
Kruk, S
Van Der Tak, FFS

November 2019

CONTEXT: Galaxy mergers and interactions are an integral part of our basic understanding of how gala...

Identifying galaxy mergers in observations and simulations with deep learning

Pearson, W. J.
Wang, L.
Trayford, J. W.
Petrillo, C. E.
van der Tak, F. F. S.

June 2019

Context. Mergers are an important aspect of galaxy formation and evolution. With large upcoming surv...

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

Ferreira, Leonardo
Conselice, Christopher J.
Kuchner, Ulrike
Tohill, Clár-Bríd

May 2022

Being able to distinguish between galaxies that have recently undergone major-merger events, or are ...

Effect of galaxy mergers on star formation rates

Pearson, WJ
Wang, L
Alpaslan, M
Baldry, IK
Bilicki, M
Brown, MJI
Grootes, MW
Holwerda, BW
Kitching, TD
Kruk, S
Tak, FFSVD

Galaxy mergers and interactions are an integral part of our basic understanding of how galaxies grow...

A Simulation Driven Deep Learning Approach for Separating Mergers and Star Forming Galaxies: The Formation Histories of Clumpy Galaxies in all the CANDELS Fields

Ferreira, Leonardo
Conselice, Christopher J.
Kuchner, Ulrike
Tohill, Clar-Bríd

April 2022

Being able to distinguish between galaxies that have recently undergone major merger events, or are ...

Automated distant galaxy merger classifications from Space Telescope images using the Illustris simulation

Snyder, Gregory F
Rodriguez-Gomez, Vicente
Lotz, Jennifer M
Torrey, Paul
Quirk, Amanda CN
Hernquist, Lars
Vogelsberger, Mark
Freeman, Peter E

November 2020

Deep learning predictions of galaxy merger stage and the importance of observational realism

Bottrell, Connor
Hani, Maan H.
Teimoorinia, Hossen
Ellison, Sara L.
Moreno, Jorge
Torrey, Paul
Hayward, Christopher C.
Thorp, Mallory
Simard, Luc
Hernquist, Lars

December 2019

Machine learning is becoming a popular tool to quantify galaxy morphologies and identify mergers. Ho...

Using transfer learning to detect galaxy mergers

Ackermann, Sandro
Schawinski, Kevin
Zhang, Ce
Weigel, Anna K.
Turp, M.D.

September 2018

We investigate the use of deep convolutional neural networks (deep CNNs) for automatic visual detect...

Galaxy Mergers and Some Consequences: The Cosmological Context

Rodriguez-Gomez, Vicente

July 2017

The last few years have seen enormous progress in the field of galaxy formation and evolution. The l...

Constraining the Major Merging History of Massive Galaxies: A Comprehensive Analysis of Close Pairs and Tidal Features Using Empirical and Simulated Data

Mantha, Kameswara Bharadwaj

August 2021

Title from PDF of title page viewed August 16, 2021Dissertation advisor; Daniel H. McIntoshVitaInclu...

Observational constraints on the merger history of galaxies since z ≈ 6: probabilistic galaxy pair counts in the CANDELS fields

Duncan, Kenneth
Conselice, Christopher J.
Mundy, Carl
Bell, Eric
Donley, Jennifer
Galametz, Audrey
Guo, Yicheng
Grogin, Norman A.
Hathi, Nimish
Kartaltepe, Jeyhan
Kocevski, Dale
Koekemoer, Anton M.
Pérez González, Pablo Guillermo
Mantha, Kameswara B.
Snyder, Gregory F.
Stefanon, Mauro

May 2019

Galaxy mergers are expected to have a significant role in the mass assembly of galaxies in the early...

Deep learning for galaxy mergers in the galaxy main sequence

Abstract

Extracted data

Deep learning for galaxy mergers in the galaxy main sequence

Abstract

Extracted data

Related items

Related items