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20232025
most citedClassifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations

2 citations · 3 across the 3 of their papers we have counts for

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astro-ph.GA2023

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…