A5007913049- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Nuclear reactor physics and engineering
- Dark Matter and Cosmic Phenomena
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Cosmology and Gravitation Theories
- Nuclear physics research studies
- Pulsars and Gravitational Waves Research
- Statistical Methods and Bayesian Inference
- Radiation Detection and Scintillator Technologies
- Scientific Computing and Data Management
- Neutrino Physics Research
- Stochastic processes and statistical mechanics
- Computational Physics and Python Applications
- Atomic and Subatomic Physics Research
- Superconducting Materials and Applications
- Advanced Frequency and Time Standards
- Meteorological Phenomena and Simulations
- Spectroscopy and Laser Applications
- Cellular Automata and Applications
- Wind and Air Flow Studies
- Muon and positron interactions and applications
European Organization for Nuclear Research
2012-2025
A. Alikhanyan National Laboratory
2015-2024
Goethe University Frankfurt
2023-2024
Universidade Federal do Rio Grande do Sul
2023-2024
Lawrence Berkeley National Laboratory
2024
Institute for Nuclear Research
2014-2023
Max Planck Institute for Physics
2023
National Research Foundation
2023
Institut National de Physique Nucléaire et de Physique des Particules
2023
Centre National de la Recherche Scientifique
2023
Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis the 1990s and 2000s, followed by explosion of event identification reconstruction 2010s. In this document we discuss promising future development areas machine a roadmap for their implementation, software hardware resource requirements, collaborative initiatives data science community, academia industry, training community science. The main objective connect...
Machine learning has been applied to several problems in particle physics research, beginning with applications high-level analysis the 1990s and 2000s, followed by an explosion of event identification reconstruction 2010s. In this document we discuss promising future research development areas for machine physics. We detail a roadmap their implementation, software hardware resource requirements, collaborative initiatives data science community, academia industry, training community science....
Prototype of the fast timing Cherenkov detector, applicable in high-energy collider experiments, has been developed basing on modified Planacon XP85012 MCP-PMT and fused silica radiators. We present reasons description modification, amplitude characteristics prototype including summary detector's response particle hits at oblique angles performance high illumination rates.
The ALICE Detector Control System (DCS) has provided its services to the experiment since 10 years. During this period it ensured uninterrupted operation of and guaranteed stable conditions for data taking. DCS been designed cope with detector requirements compatible LHC during RUN1 RUN2 phases. decision extend lifetime beyond horizon requires redesign flow represents a major challenge. challenges system upgrade are presented in paper.
We report results from a 2018 pilot run to study the feasibility of nuclear fragmentation measurements with NA61/SHINE experiment at CERN SPS. These are important for interpretation production light secondary cosmic-ray nuclei (Li, Be, and B) in Galaxy. The specific focus here is on cross sections boron Galaxy interactions $^{12}$C hydrogen interstellar medium, including contribution decay short-lived $^{11}$C fragments. data were taken beam momentum 13.5 GeV/c per nucleon two fixed targets,...
The control systems developed for large high energy physics experiments usually do not have strict real time constraints. On the other hand, correct functionality of detector electronics cannot be achieved without a reliable system. Different architecture and operational principles fast front-end electronic modules complex SCADA create challenge overall design integration. In presentation we describe Detector Control System ALICE one 4 LHC at CERN. Eighteen sub-detectors based on different...
The ALICE experiment is a complex hardware and software device, monitored operated with control system based on WinCC OA. composed of 19 detectors installed in cavern along the LHC at CERN; each detector logical set modular elements, assembled hierarchical model called Finite State Machine. A 3-D has been realized, where all elements FSM are represented their relative location, giving an immediate overview status detector. For its simplicity, it can be useful tool for training operators....
ALICE (A Large Ion Collider Experiment) is one of the big LHC (Large Hadron Collider) detectors at CERN. It composed 19 sub-detectors constructed by different institutes participating in project. Each these subsystems has a dedicated control system based on commercial SCADA package WinCC Open Architecture and numerous other software hardware components delivered external vendors. The task central controls coordination team to supervise integration, provide shared services (e.g. database, gas...
ALICE is one of the experiments at Large Hadron Collider (LHC), CERN (Geneva, Switzerland). The DCS responsible for coordination and monitoring various detectors central systems, collecting managing alarms, data commands. Furthermore, it's tool to monitor verify beam status with special emphasis on safety. In particular, it important ensure that experiment's are brought stay in a safe state, e.g. reduced voltages during injection, acceleration, adjusting phases LHC beams. Thanks its role,...
ALICE (A Large Ion Collider Experiment) is one of the big LHC (Large Hadron Collider) experiments at CERN in Geneve, Switzerland. The experiment composed 18 sub-detectors controlled by an integrated Detector Control System (DCS) that implemented using commercial SCADA package PVSSII. DCS includes over 1200 network devices, 1,000,000 monitored parameters and numerous custom made software components are prepared 100 developers from all around world. This complex system a single operator via...