Details

Autor(en) / Beteiligte

• Abasov, E. E.
• Belobrova, M. I.
• Volkov, P. V.
• Vorotnikov, G. A.
• Dudko, L. V.
• Zaborenko, A. D.
• Perfilov, M. A.
• Sivakova, E. S.

Titel

Methodology for the Application of Deep Neural Networks in Searches for New Physics at Colliders and Statistical Interpretation of Expected Results

Ist Teil von

• Physics of atomic nuclei, 2022-12, Vol.85 (6), p.708-720

Ort / Verlag

Moscow: Pleiades Publishing

Erscheinungsjahr

2022

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Methods for the application of neural networks in searches for new physics in collider experiments are described. Mechanisms of selecting observables, optimizing hyperparameters, and constructing cascades of deep neural networks are considered. Methods for a statistical analysis of neural-network discriminants in theta and CombinedLimit packages with allowance for various uncertainties are presented.