activity
20172020
most citedA definitive merger-AGN connection at z~0 with CFIS: mergers have an excess of AGN and AGN hosts are more frequently disturbed

196 citations · 634 across the 6 of their papers we have counts for

collaborators

8 papers

astro-ph.GA2020104 cited

Spatially resolved star formation and fuelling in galaxy interactions

Jorge Moreno, Paul Torrey, Sara L. Ellison +8

We investigate the spatial structure and evolution of star formation and the interstellar medium (ISM) in interacting galaxies. We use an extensive suite of parsec-scale galaxy mer…

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.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.GA2019196 cited

A definitive merger-AGN connection at z~0 with CFIS: mergers have an excess of AGN and AGN hosts are more frequently disturbed

Sara L. Ellison, Akshara Viswanathan, David R. Patton +4

The question of whether galaxy mergers are linked to the triggering of active galactic nuclei (AGN) continues to be a topic of considerable debate. The issue can be broken down int…

astro-ph.GA201954 cited

Bulge plus disc and Sérsic decomposition catalogues for 16,908 galaxies in the SDSS Stripe 82 co-adds: A detailed study of the structural measurements

Connor Bottrell, Luc Simard, J. Trevor Mendel +1

Quantitative characterization of galaxy morphology is vital in enabling comparison of observations to predictions from galaxy formation theory. However, without significant overlap…

astro-ph.GA2019

The Hubble Sequence at in the IllustrisTNG simulation with deep learning

M. Huertas-Company, V. Rodriguez-Gomez, D. Nelson +7

We analyze the optical morphologies of galaxies in the IllustrisTNG simulation at with a Convolutional Neural Network trained on visual morphologies in the Sloan Digital S…