Search Results for author: Juan Rafael Martínez-Galarza

Found 2 papers, 2 papers with code

Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources

1 code implementation • 22 Jan 2024 • Víctor Samuel Pérez-Díaz, Juan Rafael Martínez-Galarza, Alexander Caicedo, Raffaele D'Abrusco

We provide a catalog of probabilistic classes for 8, 756 sources, comprising a total of 14, 507 detections, and demonstrate the success of the method at identifying emission from young stellar objects, as well as distinguishing between small-scale and large-scale compact accretors with a significant level of confidence.

Anomaly Detection Astronomy +1

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The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

3 code implementations • 28 Sep 2018 • The PLAsTiCC team, Tarek Allam Jr., Anita Bahmanyar, Rahul Biswas, Mi Dai, Lluís Galbany, Renée Hložek, Emille E. O. Ishida, Saurabh W. Jha, David O. Jones, Richard Kessler, Michelle Lochner, Ashish A. Mahabal, Alex I. Malz, Kaisey S. Mandel, Juan Rafael Martínez-Galarza, Jason D. McEwen, Daniel Muthukrishna, Gautham Narayan, Hiranya Peiris, Christina M. Peters, Kara Ponder, Christian N. Setzer, The LSST Dark Energy Science Collaboration, The LSST Transients, Variable Stars Science Collaboration

The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) is an open data challenge to classify simulated astronomical time-series data in preparation for observations from the Large Synoptic Survey Telescope (LSST), which will achieve first light in 2019 and commence its 10-year main survey in 2022.

Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics

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