1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- European Organization for Nuclear ResearchCH283 papers
- Kurchatov InstituteRU282 papers
- Petersburg Nuclear Physics InstituteRU280 papers
- Centre National de la Recherche ScientifiqueFR279 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR279 papers
- Laboratoire de Physique Nucléaire et de Hautes ÉnergiesFR279 papers
- Lomonosov Moscow State UniversityRU279 papers
- University of ZurichCH279 papers
- Imperial College LondonGB278 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT278 papers
- Rutherford Appleton LaboratoryGB278 papers
- University of BristolGB278 papers
6 papers · 1 filter
GAN with an Auxiliary Regressor for the Fast Simulation of the Electromagnetic Calorimeter Response
Alexander Rogachev, Fedor Ratnikov
High energy physics experiments essentially rely on simulated data for physics analyses. However, running detailed simulation models requires a tremendous amount of computation res…
Machine Learning scientific competitions and datasets
David Rousseau, Andrey Ustyuzhanin
A number of scientific competitions have been organised in the last few years with the objective of discovering innovative techniques to perform typical High Energy Physics tasks,…
Generative Models for Fast Calorimeter Simulation.LHCb case
Viktoria Chekalina, Elena Orlova, Fedor Ratnikov +3
Simulation is one of the key components in high energy physics. Historically it relies on the Monte Carlo methods which require a tremendous amount of computation resources. These…
Towards automation of data quality system for CERN CMS experiment
Maxim Borisyak, Fedor Ratnikov, Denis Derkach +1
Daily operation of a large-scale experiment is a challenging task, particularly from perspectives of routine monitoring of quality for data being taken. We describe an approach tha…
Reweighting with Boosted Decision Trees
A. Rogozhnikov
Machine learning tools are commonly used in modern high energy physics (HEP) experiments. Different models, such as boosted decision trees (BDT) and artificial neural networks (ANN…
Reproducible Experiment Platform
Tatiana Likhomanenko, Alex Rogozhnikov, Alexander Baranov +2
Data analysis in fundamental sciences nowadays is an essential process that pushes frontiers of our knowledge and leads to new discoveries. At the same time we can see that complex…