681 citations · 5k across the 122 of their papers we have counts for
123 papers
Quantifying the decline in CO(2-1) intensity around PHANGS-HST star clusters: Constraints on molecular gas dispersal, stellar feedback, and cluster formation efficiency
Hao He, Adam K. Leroy, Erik Rosolowsky +37
We combine the largest survey of star clusters in nearby galaxies to-date, PHANGS-HST, with maps of molecular gas maps from PHANGS-ALMA to constrain the efficiency of cluster forma…
Mid-Infrared Colors Vary with Galactic Environment: Contrasting Star-Forming Disks, Young Centers, and Quiescent Star-Formation Deserts
Debosmita Pathak, Karin M. Sandstrom, Adam K. Leroy +27
We present pc-resolution JWST/MIRI and NIRCam measurements of mid-infrared (mid-IR) color variations in the diffuse interstellar medium (ISM) of 71 nearby star-forming…
Variations in the 3.3 m Polycyclic Aromatic Hydrocarbon Feature Across Nearby Galaxies Driven by Metallicity and Radiation Field Spectrum
Hannah B. Koziol, Karin Sandstrom, Dalya Baron +29
We use JWST NIRCam imaging to investigate the 3.3 m polycyclic aromatic hydrocarbon (PAH) feature in nearby galaxies. NIRCam observations of the 3.3 m feature are emerging as…
Exploring the synergies of with MUSE spectroscopy in PHANGS H II regions
Eric Habjan, Kathryn Kreckel, Christopher Faesi +16
Spatially resolved maps of gas-phase metallicity provide key constraints on the chemical enrichment and mixing processes that drive galaxy evolution, but measurements based only on…
Determining star formation histories and age-metallicity relations with convolutional neural networks
Enrique Galceran, Patricia Sánchez-Blázquez, Artemi Camps-Fariña +8
We aim to develop a state-of-the-art tool to infer detailed star formation histories (SFHs) and age-metallicity relations from realistic observational data, while mitigating classi…
The Structure of Molecular Gas in PHANGS-ALMA Galaxies: Cloud Spacing, Two-Point Correlation and Stacked Intensity Profiles
Hao He, Adam Leroy, Erik Rosolowsky +21
The sub-kpc scale gas structure encodes key information of giant molecular cloud (GMC) formation. Therefore, we aim for a quantitative description of molecular gas structure across…