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Conditional Generative Modelling of Reconstructed Particles at Collider Experiments

The simulation of particle physics data is a fundamental but computationally intensive ingredient for physics analysis at the Large Hadron Collider, where observational set-valued data is generated conditional on a set of incoming particles. To accelerate this task, we present a novel generative mod...

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Detalles Bibliográficos
Autores principales:	Di Bello, Francesco Armando, Dreyer, Etienne, Ganguly, Sanmay, Gross, Eilam, Heinrich, Lukas, Kado, Marumi, Kakati, Nilotpal, Shlomi, Jonathan, Soybelman, Nathalie
Lenguaje:	eng
Publicado:	2022
Materias:	hep-ex Particle Physics - Experiment
Acceso en línea:	http://cds.cern.ch/record/2842857

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