3.6k citations · 8.6k across the 23 of their papers we have counts for
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Star Cluster Classification in the PHANGS-HST Survey: Comparison between Human and Machine Learning Approaches
Bradley C. Whitmore, Janice C. Lee, Rupali Chandar +21
When completed, the PHANGS-HST project will provide a census of roughly 50,000 compact star clusters and associations, as well as human morphological classifications for roughly 20…
Deep Transfer Learning for Star Cluster Classification: I. Application to the PHANGS-HST Survey
Wei Wei, E. A. Huerta, Bradley C. Whitmore +13
We present the results of a proof-of-concept experiment which demonstrates that deep learning can successfully be used for production-scale classification of compact star clusters…
The NANOGrav 11-Year Data Set: Limits on Gravitational Waves from Individual Supermassive Black Hole Binaries
K. Aggarwal, Z. Arzoumanian, P. T. Baker +60
Observations indicate that nearly all galaxies contain supermassive black holes (SMBHs) at their centers. When galaxies merge, their component black holes form SMBH binaries (SMBHB…