55 citations · 187 across the 14 of their papers we have counts for
6 papers · 1 filter
I: Neural Inference of Halo Mass from Galaxy Photometry and Morphology
ChangHoon Hahn, Connor Bottrell, Khee-Gan Lee
We present , a new machine learning approach for inferring the mass of host dark matter halos, , from the photometry and morphology…
Galaxy mergers in Subaru HSC-SSP: a deep representation learning approach for identification and the role of environment on merger incidence
Kiyoaki Christopher Omori, Connor Bottrell, Mike Walmsley +7
We take a deep learning-based approach for galaxy merger identification in Subaru HSC-SSP, specifically through the use of deep representation learning and fine-tuning, with the ai…
GALAXY CRUISE: Deep Insights into Interacting Galaxies in the Local Universe
Masayuki Tanaka, Michitaro Koike, Sei'ichiro Naito +15
We present the first results from GALAXY CRUISE, a community (or citizen) science project based on data from the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP). The current p…
IllustrisTNG in the HSC-SSP: image data release and the major role of mini mergers as drivers of asymmetry and star formation
Connor Bottrell, Hassen M. Yesuf, Gergö Popping +13
At fixed galaxy stellar mass, there is a clear observational connection between structural asymmetry and offset from the star forming main sequence, SFMS. Herein, we use the TNG…
Morphological asymmetries of quasar host galaxies with Subaru Hyper Suprime-Cam
Shenli Tang, John D. Silverman, Hassen M. Yesuf +7
How does the host galaxy morphology influence a central quasar or vice versa? We address this question by measuring the asymmetries of 2424 SDSS quasar hosts at using b…
Identification of tidal features in deep optical galaxy images with Convolutional Neural Networks
H. Domínguez Sánchez, G. Martin, I. Damjanov +14
Interactions between galaxies leave distinguishable imprints in the form of tidal features which hold important clues about their mass assembly. Unfortunately, these structures are…