activity
20182022
most citedDeep learning predictions of galaxy merger stage and the importance of observational realism

117 citations · 671 across the 15 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

astro-ph.GA201917 cited

Variations in the slope of the resolved star-forming main sequence: a tool for constraining the mass of star-forming regions

Maan H. Hani, Christopher C. Hayward, Matthew E. Orr +5

The correlation between galaxies' integrated stellar masses and star formation rates (the `star formation main sequence'; SFMS) is a well-established scaling relation. Recently, su…

astro-ph.GA2019117 cited

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

Connor Bottrell, Maan H. Hani, Hossen Teimoorinia +7

Machine learning is becoming a popular tool to quantify galaxy morphologies and identify mergers. However, this technique relies on using an appropriate set of training data to be…

astro-ph.GA201921 cited

The diversity of the circumgalactic medium around z = 0 Milky Way-mass galaxies from the Auriga simulations

Maan H. Hani, Sara L. Ellison, Martin Sparre +4

Galaxies are surrounded by massive gas reservoirs (i.e. the circumgalactic medium; CGM) which play a key role in their evolution. The properties of the CGM, which are dependent on…

astro-ph.GA2019

Rapid early coeval star formation and assembly of the most massive galaxies in the universe

Douglas Rennehan, Arif Babul, Christopher C. Hayward +3

The current consensus on the formation and evolution of the brightest cluster galaxies is that their stellar mass forms early () in separate galaxies that then eventua…

astro-ph.HE20193 cited

Nuclear spallation in active galaxies

L. C. Gallo, J. S. Randhawa, S. G. H. Waddell +3

A number of works point to the presence of narrow emission features at unusual energies in the X-ray spectra of active galactic nuclei (AGN) or to potentially low iron abundances a…