A5024434192- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Medical Imaging Techniques and Applications
- Astrophysics and Cosmic Phenomena
- Distributed and Parallel Computing Systems
- Black Holes and Theoretical Physics
- Particle Accelerators and Free-Electron Lasers
- Radiation Therapy and Dosimetry
- International Science and Diplomacy
- Radiation Detection and Scintillator Technologies
- advanced mathematical theories
- Nuclear reactor physics and engineering
- Stochastic processes and financial applications
- Gamma-ray bursts and supernovae
- Atomic and Subatomic Physics Research
- Noncommutative and Quantum Gravity Theories
- Optical properties and cooling technologies in crystalline materials
- Random Matrices and Applications
- Statistical Mechanics and Entropy
European Organization for Nuclear Research
2022-2025
A. Alikhanyan National Laboratory
2022-2024
Institute of High Energy Physics
2017-2024
University of Antwerp
2024
Rutgers, The State University of New Jersey
2023
Rice University
2023
Joint Institute for Nuclear Research
2013-2022
The work proposes a new method for measuring the gluon jet fraction in sample produced at hadron collider. This uses model quark/gluon templates - distributions of quark and jets over macro parameter. Within framework this method, it is possible to find uncertainty measurement associated with deviation from true ones. issue data-motivated corrections discussed.
To measure the characteristics of quark and gluon jets in hadron-hadron collisions, two samples are used. Given large statistics at LHC, two-sample method requires taking into account following corrections: (1) use measured fractions instead model ones, (2) amendment for contribution with an unidentified flavour, (3) dependence distributions on conditions jet sample selections. The paper presents improved that takes these corrections.