research
∙
06/17/2022
Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach
Large scale detectors consisting of a liquid scintillator (LS) target su...
share
research
∙
03/27/2020
Using Machine Learning to Speed Up and Improve Calorimeter R D
Design of new experiments, as well as upgrade of ongoing ones, is a cont...
research
∙
03/21/2020
Generative Adversarial Networks for LHCb Fast Simulation
LHCb is one of the major experiments operating at the Large Hadron Colli...
research
∙
06/14/2019
(1 + ε)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets
Anomaly detection is not an easy problem since distribution of anomalous...
research
∙
03/28/2019
Cherenkov Detectors Fast Simulation Using Neural Networks
We propose a way to simulate Cherenkov detector response using a generat...
research
∙
12/04/2018
Generative Models for Fast Calorimeter Simulation.LHCb case
Simulation is one of the key components in high energy physics. Historic...
research
∙
09/25/2017