A5082578640- 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
- Astrophysics and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Radiation Detection and Scintillator Technologies
- Particle Accelerators and Free-Electron Lasers
- Atomic and Subatomic Physics Research
- Distributed and Parallel Computing Systems
- Nuclear reactor physics and engineering
- Medical Imaging Techniques and Applications
- Optical properties and cooling technologies in crystalline materials
- Gamma-ray bursts and supernovae
- Noncommutative and Quantum Gravity Theories
- Scientific Computing and Data Management
- advanced mathematical theories
- Stochastic processes and financial applications
- Big Data Technologies and Applications
- Nuclear physics research studies
- Radiation Therapy and Dosimetry
Cukurova University
2017-2025
Mersin Üniversitesi
2024-2025
University of Antwerp
2023-2024
A. Alikhanyan National Laboratory
2022-2024
European Organization for Nuclear Research
2023-2024
Institute of High Energy Physics
2022-2024
Vrije Universiteit Brussel
2023-2024
University of California, Davis
2020-2023
Middle East Technical University
2023
Eötvös Loránd University
2021
Abstract A study has been performed to understand the effects of radiation damage on various plastic scintillator tiles considered for a possible upgrade hadron calorimeter CMS detector. Measurements were made with unirradiated and that had irradiated in collision hall dose 44 kGy. Results are presented different shapes terms energy spectrum, efficiency as function position at which each tile was hit, well light yield. All showed reduction up about 50%. The shape currently used detector did...
The proliferation of sensors brings an immense volume spatio-temporal (ST) data in many domains for various purposes, including monitoring, diagnostics, and prognostics applications. Data curation is a time-consuming process large data, making it challenging expensive to deploy analytics platforms new environments. Transfer learning (TL) mechanisms promise mitigate sparsity model complexity by utilizing pre-trained models task. Despite the triumph TL fields like computer vision natural...