Search Results for author: Daniela Calzetti

Found 2 papers, 1 papers with code

The Case for Thermalization as a Contributor to the [CII] Deficit

no code implementations • 17 Feb 2021 • Jessica Sutter, Daniel A. Dale, Karin Sandstrom, J. D. T. Smith, Alberto Bolatto, Mederic Boquien, Daniela Calzetti, Kevin V. Croxall, Ilse De Looze, Maude Galametz, Brent A. Groves, George Helou, Rodrigo Herrera-Camus, Leslie K. Hunt, Robert C. Kennicutt, Eric W. Pelligrini, Christine Wilson, Mark G. Wolfire

The [CII] deficit, which describes the observed decrease in the ratio of [CII] 158 micron emission to continuum infrared emission in galaxies with high star formation surface densities, places a significant challenge to the interpretation of [CII] detections from across the observable universe.

Astrophysics of Galaxies

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StarcNet: Machine Learning for Star Cluster Identification

1 code implementation • 16 Dec 2020 • Gustavo Perez, Matteo Messa, Daniela Calzetti, Subhransu Maji, Dooseok Jung, Angela Adamo, Mattia Siressi

We present a machine learning (ML) pipeline to identify star clusters in the multi{color images of nearby galaxies, from observations obtained with the Hubble Space Telescope as part of the Treasury Project LEGUS (Legacy ExtraGalactic Ultraviolet Survey).

BIG-bench Machine Learning General Classification

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