- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Computational Physics and Python Applications
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astrophysics and Cosmic Phenomena
- Radiation Detection and Scintillator Technologies
- Particle Accelerators and Free-Electron Lasers
- Medical Imaging Techniques and Applications
- Distributed and Parallel Computing Systems
- Atomic and Subatomic Physics Research
- Radiation Therapy and Dosimetry
- Gamma-ray bursts and supernovae
- CCD and CMOS Imaging Sensors
- Nuclear reactor physics and engineering
- Advanced Data Storage Technologies
- Superconducting Materials and Applications
- Nuclear physics research studies
- International Science and Diplomacy
- Laser-Plasma Interactions and Diagnostics
- Nuclear Physics and Applications
Deutsches Elektronen-Synchrotron DESY
2016-2025
Institute of High Energy Physics
2015-2024
University of Antwerp
2024
A. Alikhanyan National Laboratory
2014-2024
Universität Hamburg
2002-2023
University of Illinois Chicago
2016
European Organization for Nuclear Research
2009-2014
Institute of Nuclear and Particle Physics
2012
National Centre of Scientific Research "Demokritos"
2012
RWTH Aachen University
2012
This report reviews methods of pattern recognition and event reconstruction used in modern high energy physics experiments. After a brief introduction to general concepts about particle detectors statistical evaluation, different approaches global local track are reviewed with their typical strengths shortcomings. The emphasis is then shifted which estimate the properties from those signals has associated. Finally, briefly addressed.