Deep Learning to improve Experimental Sensitivity and Generative Models for Monte Carlo simulations for searching for New Physics in LHC experiments

  1. Salt, Jose
  2. Balanza, Raul
  3. Garcia, Azael
  4. Ander Gomez, Jon
  5. Gonzalez de la Hoz, Santiago
  6. Lozano, Julio
  7. Ruiz de Austri, Roberto
  8. Villaplana, Miguel
Büchersammlung:
26TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS, CHEP 2023
  1. Espinal, X (coord.)
  2. DeVita, R (coord.)
  3. Laycock, P (coord.)
  4. Shadura, O (coord.)

ISSN: 2100-014X

ISBN: *****************

Datum der Publikation: 2024

Ausgabe: 295

Kongress: 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP)

Art: Konferenz-Beitrag

DOI: 10.1051/EPJCONF/202429509009 GOOGLE SCHOLAR
Fuente de los datos: WoS