activity
20192023
most citedDeep Transfer Learning for Star Cluster Classification: I. Application to the PHANGS-HST Survey

57 citations · 344 across the 9 of their papers we have counts for

collaborators

9 papers

astro-ph.GA2023★ 27 cited

Improving Star Cluster Age Estimates in PHANGS-HST Galaxies and the Impact on Cluster Demographics in NGC 628

Bradley C. Whitmore, Rupali Chandar, Janice C. Lee +29

A long-standing problem when deriving the physical properties of stellar populations is the degeneracy between age, reddening, and metallicity. When a single metallicity is used fo…

astro-ph.GA2022★ 48 cited

PHANGS-JWST First Results: Massive Young Star Clusters and New Insights from JWST Observations of NGC 1365

Bradley C. Whitmore, Rupali Chandar, M. Jimena Rodríguez +28

A primary new capability of JWST is the ability to penetrate the dust in star forming galaxies to identify and study the properties of young star clusters that remain embedded in d…

astro-ph.GA2022★ 40 cited

PHANGS-JWST First Results: Rapid Evolution of Star Formation in the Central Molecular Gas Ring of NGC1365

Eva Schinnerer, Eric Emsellem, Jonathan D. Henshaw +36

Large-scale bars can fuel galaxy centers with molecular gas, often leading to the development of dense ring-like structures where intense star formation occurs, forming a very diff…

astro-ph.GA2022★ 40 cited

H Morphologies of Star Clusters in 16 LEGUS Galaxies: Constraints on HII region evolution timescales

Stephen Hannon, Janice C. Lee, Bradley C. Whitmore +14

The analysis of star cluster ages in tandem with the morphology of their HII regions can provide insight into the processes that clear a cluster's natal gas, as well as the accurac…

astro-ph.GA2021★ 16 cited

Synthetic photometry of OB star clusters with stochastically sampled IMFs: analysis of models and HST observations

Rogelio Orozco-Duarte, Aida Wofford, Alba Vidal-García +13

We present a pilot library of synthetic NUV, U, B, V, and I photometry of star clusters with stochastically sampled IMFs and ionized gas for initial masses, , , and…

astro-ph.GA2021★ 50 cited

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…

astro-ph.GA2021★ 49 cited

PHANGS-HST: New Methods for Star Cluster Identification in Nearby Galaxies

David A. Thilker, Bradley C. Whitmore, Janice C. Lee +14

We present an innovative and widely applicable approach for the detection and classification of stellar clusters, developed for the PHANGS-HST Treasury Program, an -to- ban…

astro-ph.SR2020★ 17 cited

Candidate LBV stars in galaxy NGC 7793 found via HST photometry + MUSE spectroscopy

Aida Wofford, Vanesa Ramirez, Janice C. Lee +21

Only about 19 Galactic and 25 extra-galactic bona-fide Luminous Blue Variables (LBVs) are known to date. This incomplete census prevents our understanding of this crucial phase of…

astro-ph.GA2019★ 57 cited

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…