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Baryonic imprints on DM haloes: population statistics from dwarf galaxies to galaxy clusters
Dhayaa Anbajagane, August E Evrard and Arya Farahi Monthly Notices of the Royal Astronomical Society 509(3) 3441 (2021) https://doi.org/10.1093/mnras/stab3177
Dynamical analysis of clusters of galaxies from cosmological simulations
Environmental processing of galaxies in H i-rich groups
Robert Džudžar, Virginia Kilborn, Sarah M Sweet, et al. Monthly Notices of the Royal Astronomical Society 500(3) 3689 (2020) https://doi.org/10.1093/mnras/staa3439
Dynamical mass inference of galaxy clusters with neural flows
Doogesh Kodi Ramanah, Radosław Wojtak, Zoe Ansari, Christa Gall and Jens Hjorth Monthly Notices of the Royal Astronomical Society 499(2) 1985 (2020) https://doi.org/10.1093/mnras/staa2886
‘Observing’ unrelaxed clusters in dark matter simulations
A Robust and Efficient Deep Learning Method for Dynamical Mass Measurements of Galaxy Clusters
Matthew Ho, Markus Michael Rau, Michelle Ntampaka, Arya Farahi, Hy Trac and Barnabás Póczos The Astrophysical Journal 887(1) 25 (2019) https://doi.org/10.3847/1538-4357/ab4f82
Structural and dynamical modeling of WINGS clusters
On the shape of dark matter haloes from MultiDark Planck simulations
Jesús Vega-Ferrero, Gustavo Yepes and Stefan Gottlöber Monthly Notices of the Royal Astronomical Society 467(3) 3226 (2017) https://doi.org/10.1093/mnras/stx282
DYNAMICAL MASS MEASUREMENTS OF CONTAMINATED GALAXY CLUSTERS USING MACHINE LEARNING
A multiwavelength view of the galaxy cluster Abell 523 and its peculiar diffuse radio source
M. Girardi, W. Boschin, F. Gastaldello, et al. Monthly Notices of the Royal Astronomical Society 456(3) 2829 (2016) https://doi.org/10.1093/mnras/stv2827
Effect of asphericity in caustic mass estimates of galaxy clusters
Jacob Svensmark, Radoslaw Wojtak and Steen H. Hansen Monthly Notices of the Royal Astronomical Society 448(2) 1644 (2015) https://doi.org/10.1093/mnras/stu2686
A MACHINE LEARNING APPROACH FOR DYNAMICAL MASS MEASUREMENTS OF GALAXY CLUSTERS