55 citations · 187 across the 14 of their papers we have counts for
5 papers · 1 filter
Galaxy Mergers in UNIONS -- I: A Simulation-driven Hybrid Deep Learning Ensemble for Pure Galaxy Merger Classification
Leonardo Ferreira, Robert W. Bickley, Sara L. Ellison +7
Merging and interactions can radically transform galaxies. However, identifying these events based solely on structure is challenging as the status of observed mergers is not easil…
Rich and diverse molecular gas environments of closely-separated dual quasars viewed by ALMA
Shenli Tang, John D. Silverman, Zhaoxuan Liu +12
We present a study of the molecular gas in five closely-spaced ( kpc) dual quasars () at redshifts with the…
Predicting the Scaling Relations between the Dark Matter Halo Mass and Observables from Generalised Profiles I: Kinematic Tracers
Andrew Sullivan, Chris Power, Connor Bottrell
We investigate the relationship between a dark matter halo's mass profile and measures of the velocity dispersion of kinematic tracers within its gravitational potential. By predic…
The Spatial Distribution of Type Ia Supernovae within Host Galaxies
Christopher Pritchet, Karun Thanjavur, Connor Bottrell +1
We study how type Ia supernovae (SNe Ia) are spatially distributed within their host galaxies, using data taken from the Sloan Digital Sky Survey (SDSS). This paper specifically te…
The limitations (and potential) of non-parametric morphology statistics for post-merger identification
Scott Wilkinson, Sara L. Ellison, Connor Bottrell +4
Non-parametric morphology statistics have been used for decades to classify galaxies into morphological types and identify mergers in an automated way. In this work, we assess how…