activity
20052026
most citedRotation-invariant convolutional neural networks for galaxy morphology prediction

787 citations · 3.9k across the 29 of their papers we have counts for

collaborators
Showing 2015Show all

5 papers · 1 filter

astro-ph.GA2015

Stellar Populations of Barred Quiescent Galaxies

Edmond Cheung, Charlie Conroy, E. Athanassoula +10

Selecting centrally quiescent galaxies from the Sloan Digital Sky Survey (SDSS) to create high signal-to-noise (>100) stacked spectra with minimal emission line contamination, we a…

astro-ph.IM2015★ 787 cited

Rotation-invariant convolutional neural networks for galaxy morphology prediction

Sander Dieleman, Kyle W. Willett, Joni Dambre

Measuring the morphological parameters of galaxies is a key requirement for studying their formation and evolution. Surveys such as the Sloan Digital Sky Survey (SDSS) have resulte…

astro-ph.GA2015★ 72 cited

Galaxy Zoo: the dependence of the star formation-stellar mass relation on spiral disk morphology

Kyle W. Willett, Kevin Schawinski, Brooke D. Simmons +9

We measure the stellar mass-star formation rate relation in star-forming disk galaxies at z<0.085, using Galaxy~Zoo morphologies to examine different populations of spirals as clas…

astro-ph.GA2015★ 86 cited

Galaxy Zoo: the effect of bar-driven fueling on the presence of an active galactic nucleus in disc galaxies

Melanie A. Galloway, Kyle W. Willett, Lucy F. Fortson +7

We study the influence of the presence of a strong bar in disc galaxies which host an active galactic nucleus (AGN). Using data from the Sloan Digital Sky Survey and morphological…

astro-ph.GA2015★ 127 cited

Galaxy Zoo: Evidence for Diverse Star Formation Histories through the Green Valley

R. J. Smethurst, C. J. Lintott, B. D. Simmons +10

Does galaxy evolution proceed through the green valley via multiple pathways or as a single population? Motivated by recent results highlighting radically different evolutionary pa…