C. Becot

ORCID: 0000-0003-0473-512X
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Particle Detector Development and Performance
  • Quantum Chromodynamics and Particle Interactions
  • Dark Matter and Cosmic Phenomena
  • Cosmology and Gravitation Theories
  • Computational Physics and Python Applications
  • Neutrino Physics Research
  • Radiation Detection and Scintillator Technologies
  • Distributed and Parallel Computing Systems
  • Black Holes and Theoretical Physics
  • Astrophysics and Cosmic Phenomena
  • Particle accelerators and beam dynamics
  • Digital Radiography and Breast Imaging
  • Medical Imaging Techniques and Applications
  • Structural Analysis of Composite Materials
  • Scientific Computing and Data Management
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced X-ray and CT Imaging
  • SARS-CoV-2 detection and testing
  • Muon and positron interactions and applications
  • Particle Accelerators and Free-Electron Lasers
  • Engineering and Materials Science Studies
  • Statistical Distribution Estimation and Applications
  • Atomic and Subatomic Physics Research

Deutsches Elektronen-Synchrotron DESY
2018-2024

AGH University of Krakow
2018-2024

Jagiellonian University
2023-2024

Institut National de Physique Nucléaire et de Physique des Particules
2014-2022

Centre National de la Recherche Scientifique
2014-2022

The University of Adelaide
2014-2022

Université Paris-Sud
2014-2022

New York University
2016-2020

University of Buenos Aires
2020

Brookhaven National Laboratory
2019

A bstract Recent progress in applying machine learning for jet physics has been built upon an analogy between calorimeters and images. In this work, we present a novel class of recursive neural networks instead QCD natural languages. the analogy, four-momenta are like words clustering history sequential recombination algorithms is parsing sentence. Our approach works directly with variable-length set particles, jet-based tree structure varies on event-by-event basis. experiments highlight...

10.1007/jhep01(2019)057 article EN cc-by Journal of High Energy Physics 2019-01-01

Abstract This study is focused on an investigation of the performance Short Strip module developed by ATLAS Inner Tracker (ITk) strip collaboration using electron beams energy 5.4 GeV and 5.8 at DESY-II Testbeam Facility. The noise +30 °C -30 was measured. ratio two measurements compared with a circuit-model calculation. measured maximum that would correspond to acceptable signal-to-noise after expected radiation damage from operation HL-LHC. charge distributions are GEANT4 simulations....

10.1088/1748-0221/18/03/p03015 article EN cc-by Journal of Instrumentation 2023-03-01

Since the discovery of Higgs boson a lot effort has been devoted to measurement its properties. One key parameter is mass, which measured by ATLAS detector at LHC. For this precision calibration electromagnetic calorimeter required. The details as well current understanding will be described. mH and impact

10.1051/epjconf/20149504004 article EN cc-by EPJ Web of Conferences 2015-01-01
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