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Reconstructing particles in jets using set transformer and hypergraph prediction networks

Abstract The task of reconstructing particles from low-level detector response data to predict the set of final state particles in collision events represents a set-to-set prediction task requiring the use of multiple features and their correlations in the input data. We deploy three separate set-to...

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Xehetasun bibliografikoak
Egile Nagusiak: Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Lukas Heinrich, Anna Ivina, Marumi Kado, Nilotpal Kakati, Lorenzo Santi, Jonathan Shlomi, Matteo Tusoni
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: SpringerOpen 2023-07-01
Saila:European Physical Journal C: Particles and Fields
Sarrera elektronikoa:https://doi.org/10.1140/epjc/s10052-023-11677-7
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