202 citations · 755 across the 21 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…
A Comparison between Nuclear Ring Star Formation in LIRGs and Normal Galaxies with the Very Large Array
Y. Song, S. T. Linden, A. S. Evans +16
Nuclear rings are excellent laboratories for studying intense star formation. We present results from a study of nuclear star-forming rings in five nearby normal galaxies from the…
PHANGS-ALMA Data Processing and Pipeline
Adam K. Leroy, Annie Hughes, Daizhong Liu +65
We describe the processing of the PHANGS-ALMA survey and present the PHANGS-ALMA pipeline, a public software package that processes calibrated interferometric and total power data…
Giant Molecular Cloud Catalogues for PHANGS-ALMA: Methods and Initial Results
Erik Rosolowsky, Annie Hughes, Adam K. Leroy +26
We present improved methods for segmenting CO emission from galaxies into individual molecular clouds, providing an update to the CPROPS algorithms presented by Rosolowsky & Leroy…
PHANGS-HST: Star Cluster Spectral Energy Distribution Fitting with CIGALE
Jordan A. Turner, Daniel A. Dale, Janice C. Lee +24
The sensitivity and angular resolution of photometric surveys executed by the Hubble Space Telescope (HST) enable studies of individual star clusters in galaxies out to a few tens…