Instrumentation and Detectors · Physics
Machine-learning-based particle identification with missing data
Miłosz Kasak, Kamil Deja, Maja Karwowska, Monika Jakubowska +2
2024-07-23
Nuclear Experiment · Physics
Using Machine Learning for Particle Identification in ALICE
Łukasz Kamil Graczykowski, Monika Jakubowska, Kamil Rafał Deja, Maja Kabus
2022-04-15
Data Analysis, Statistics and Probability · Physics
Gaussian Processes and Bayesian Optimization for High Precision Experiments
Max Lamparth, Mattis Bestehorn, Bastian Märkisch
2022-05-31
Instrumentation and Detectors · Physics
Particle identification in the GlueX detector with machine learning
Eric Habjan, Richard Dube, James McIntyre, Mezmur Edo +1
2025-09-18
Data Analysis, Statistics and Probability · Physics
Bayesim: a tool for adaptive grid model fitting with Bayesian inference
Rachel C. Kurchin, Giuseppe Romano, Tonio Buonassisi
2019-11-28
Instrumentation and Detectors · Physics
Bayesian Approach to Particles Identification in the MPD Experimen
V. A. Babkin, V. M. Baryshnikov, M. G. Buryakov, A. S. Burdyko +11
2024-06-21
High Energy Physics - Experiment · Physics
Particle identification with machine learning from incomplete data in the ALICE experiment
Maja Karwowska, Łukasz Graczykowski, Kamil Deja, Miłosz Kasak +1
2024-07-26
High Energy Physics - Experiment · Physics
Implementation, performance and physics impact of particle identification at Higgs factories
Ulrich Einhaus, Matthew Basso, Mikael Berggren, Valentina Cairo +2
2023-11-16