Copertina

Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	LSST Dark Energy Science Collaboration, Aubourg, Eric, Avestruz, Camille, Becker, Matthew R., Biswas, Biswajit, Biswas, Rahul, Bolliet, Boris, Bolton, Adam S., Bom, Clecio R., Bonnet-Guerrini, Raphaël, Boucaud, Alexandre, Campagne, Jean-Eric, Chang, Chihway, Ćiprijanović, Aleksandra, Cohen-Tanugi, Johann, Coughlin, Michael W., Crenshaw, John Franklin, Cuevas-Tello, Juan C., de Vicente, Juan, Digel, Seth W., Dillmann, Steven, Romero, Mariano Javier de León Dominguez, Drlica-Wagner, Alex, Erickson, Sydney, Gagliano, Alexander T., Georgiou, Christos, Ghosh, Aritra, Grayling, Matthew, Grishin, Kirill A., Heavens, Alan, House, Lindsay R., Ishak, Mustapha, Kabalan, Wassim, Kannawadi, Arun, Lanusse, François, Leonard, C. Danielle, Léget, Pierre-François, Lochner, Michelle, Mao, Yao-Yuan, Melchior, Peter, Merz, Grant, Millon, Martin, Möller, Anais, Narayan, Gautham, Omori, Yuuki, Peiris, Hiranya, Perreault-Levasseur, Laurence, Malagón, Andrés A. Plazas, Ramachandra, Nesar, Remy, Benjamin, Roucelle, Cécile, Ruiz-Zapatero, Jaime, Schuldt, Stefan, Sevilla-Noarbe, Ignacio, Shah, Ved G., Starkenburg, Tjitske, Thorp, Stephen, Cipriano, Laura Toribio San, Tröster, Tilman, Trotta, Roberto, Venkatraman, Padma, Wasserman, Amanda, White, Tim, Zeghal, Justine, Zhang, Tianqing, Zhang, Yuanyuan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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