activity
20062020
most citedGalaxy and Mass Assembly (GAMA): survey diagnostics and core data release

1.1k citations · 6.8k across the 49 of their papers we have counts for

collaborators

50 papers

astro-ph.IM2020★ 12 cited

nazgul: A statistical approach to gamma-ray burst localization. Triangulation via non-stationary time-series models

J. Michael Burgess, Ewan Cameron, Dmitry Svinkin +1

Context. Gamma-ray bursts can be located via arrival time signal triangulation using gamma-ray detectors in orbit throughout the solar system. The classical approach based on cross…

astro-ph.GA2018★ 86 cited

Black Hole Mass Scaling Relations for Spiral Galaxies. II. - and -

Benjamin L. Davis, Alister W. Graham, Ewan Cameron

Black hole mass () scaling relations are typically derived using the properties of a galaxy's bulge and samples dominated by (high-mass) early-type galaxies. Studying late-…

astro-ph.GA2018★ 103 cited

Black Hole Mass Scaling Relations for Spiral Galaxies. I. -

Benjamin L. Davis, Alister W. Graham, Ewan Cameron

The (supermassive black hole mass, )-(bulge stellar mass, ) relation is, obviously, derived using two quantities. We endeavor to provide accurate values…

astro-ph.GA2016★ 25 cited

Is the cluster environment quenching the Seyfert activity in elliptical and spiral galaxies?

R. S. de Souza, M. L. L. Dantas, A. Krone-Martins +7

We developed a hierarchical Bayesian model (HBM) to investigate how the presence of Seyfert activity relates to their environment, herein represented by the galaxy cluster mass, $M…

astro-ph.GA2015★ 13 cited

The star cluster mass--galactocentric radius relation: Implications for cluster formation

Weijia Sun, Richard de Grijs, Zhou Fan +1

Whether or not the initial star cluster mass function is established through a universal, galactocentric-distance-independent stochastic process, on the scales of individual galaxi…

astro-ph.IM2015★ 3 cited

Using gamma regression for photometric redshifts of survey galaxies

J. Elliott, R. S. de Souza, A. Krone-Martins +3

Machine learning techniques offer a plethora of opportunities in tackling big data within the astronomical community. We present the set of Generalized Linear Models as a fast alte…