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Joseph A. O'Leary
Joseph A. O'Leary
Ludwig-Maximilians-Universität / Universitäts-Sternwarte München
Verified email at usm.lmu.de
Title
Cited by
Cited by
Year
emerge: empirical predictions of galaxy merger rates since z ∼ 6
JA O’Leary, BP Moster, T Naab, RS Somerville
Monthly Notices of the Royal Astronomical Society 501 (3), 3215-3237, 2021
692021
GalaxyNet: connecting galaxies and dark matter haloes with deep neural networks and reinforcement learning in large volumes
BP Moster, T Naab, M Lindström, JA O’Leary
Monthly Notices of the Royal Astronomical Society 507 (2), 2115-2136, 2021
502021
Globular cluster numbers in dark matter haloes in a dual formation scenario: an empirical model within emerge
LM Valenzuela, BP Moster, RS Remus, JA O’Leary, A Burkert
Monthly Notices of the Royal Astronomical Society 505 (4), 5815-5832, 2021
192021
emerge: constraining merging probabilities and time-scales of close galaxy pairs
JA O’Leary, BP Moster, E Krämer
Monthly Notices of the Royal Astronomical Society 503 (4), 5646-5657, 2021
92021
Predictions on the stellar-to-halo mass relation in the dwarf regime using the empirical model for galaxy formation Emerge
JA O’Leary, UP Steinwandel, BP Moster, N Martin, T Naab
Monthly Notices of the Royal Astronomical Society 520 (1), 897-916, 2023
32023
EMERGE: Empirical ModEl for the foRmation of GalaxiEs
BP Moster, T Naab, JA O'Leary, SDM White
Astrophysics Source Code Library, ascl: 1910.006, 2019
12019
Dwarves and giants: a tale of multi-scale galaxy assembly
JA O'Leary
lmu, 2021
2021
Globular cluster numbers in dark matter haloes in a dual formation scenario: an empirical model within
LM Valenzuela, BP Moster, RS Remus, JA O’Leary, A Burkert
2021
Globular cluster numbers in dark matter haloes: an empirical model within EMERGE
LM Valenzuela, BP Moster, RS Remus, JA O'Leary, A Burkert
arXiv e-prints, arXiv: 2012.09172, 2020
2020
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