1.5k citations · 25.1k across the 213 of their papers we have counts for
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Exploring galaxy evolution with generative models
Kevin Schawinski, M. Dennis Turp, Ce Zhang
Context. Generative models open up the possibility to interrogate scientific data in a more data-driven way. Aims: We propose a method that uses generative models to explore hypoth…
A population of luminous accreting black holes with hidden mergers
Michael J. Koss, Laura Blecha, Phillip Bernhard +11
Major galaxy mergers are thought to play an important part in fuelling the growth of supermassive black holes. However, observational support for this hypothesis is mixed, with som…
BAT AGN Spectroscopic Survey -- XII. The relation between coronal properties of Active Galactic Nuclei and the Eddington ratio
C. Ricci, L. C. Ho, A. C. Fabian +12
The bulk of the X-ray emission in Active Galactic Nuclei (AGN) is produced very close to the accreting supermassive black hole (SMBH), in a corona of hot electrons which up scatter…
ALMA [CI] observations of NGC6240: a puzzling molecular outflow, and the role of outflows in the global factor of (U)LIRGs
Claudia Cicone, Paola Severgnini, Padelis P. Papadopoulos +9
We present ALMA and ACA [CI] ([CI](1-0)) observations of NGC6240, which we combine with ALMA CO(2-1) and IRAM PdBI CO(1-0) data to study the physical propertie…
Using transfer learning to detect galaxy mergers
Sandro Ackermann, Kevin Schawinski, Ce Zhang +2
We investigate the use of deep convolutional neural networks (deep CNNs) for automatic visual detection of galaxy mergers. Moreover, we investigate the use of transfer learning in…
Radio Galaxy Zoo: ClaRAN - A Deep Learning Classifier for Radio Morphologies
Chen Wu, O. Ivy Wong, Lawrence Rudnick +13
The upcoming next-generation large area radio continuum surveys can expect tens of millions of radio sources, rendering the traditional method for radio morphology classification t…