Cargando…
Efficient search for new physics using Active Learning in the ATLAS Experiment
Searches for new physics at the LHC set exclusion limits in multi-dimensional parameter spaces of various theories. Typically, these are presented as 1- or 2-dimensional parameter scans; however, the relevant theory's parameter space is usually of a higher dimension. As a result, only a subspac...
Autores principales: | Cranmer, Kyle Stuart, Espejo Morales, Irina, Rieck, Patrick, Heinrich, Lukas Alexander, Gadow, Philipp, Von Ahnen, Janik, Bhatti, Zubair |
---|---|
Lenguaje: | eng |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2857658 |
Ejemplares similares
-
Efficient Search for New Physics Using Active Learning in the ATLAS Experiment
por: Bhatti, Zubair, et al.
Publicado: (2023) -
Efficient search for new physics using Active Learning in the ATLAS Experiment
por: Bhatti, Zubair, et al.
Publicado: (2023) -
Efficient Search for New Physics using Active Learning in the ATLAS Experiment with RECAST
por: Espejo Morales, Irina, et al.
Publicado: (2022) -
Search for Dark Matter produced in association with a Higgs boson decaying to 𝒃-quarks using the ATLAS detector
por: Von Ahnen, Janik
Publicado: (2021) -
Efficient search for new physics using Active Learning in the ATLAS Experiment with RECAST
por: Espejo Morales, Irina
Publicado: (2022)