A5058168699- 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
- Computational Physics and Python Applications
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Distributed and Parallel Computing Systems
- Atomic and Subatomic Physics Research
- Gamma-ray bursts and supernovae
- Radiation Detection and Scintillator Technologies
- Nuclear Physics and Applications
- Particle Accelerators and Free-Electron Lasers
- Adversarial Robustness in Machine Learning
- Stochastic processes and financial applications
- Nuclear physics research studies
- Laser-Plasma Interactions and Diagnostics
- Medical Imaging Techniques and Applications
- Optical properties and cooling technologies in crystalline materials
- Scientific Computing and Data Management
- Noncommutative and Quantum Gravity Theories
- Radiation Therapy and Dosimetry
John Brown University
2023-2025
RWTH Aachen University
2019-2025
University of Wisconsin–Madison
2022-2025
Brown University
2023-2025
FH Aachen
2024-2025
A. Alikhanyan National Laboratory
2022-2024
Institute of High Energy Physics
2019-2024
University of Antwerp
2024
Veer Surendra Sai University of Technology
2023
Saha Institute of Nuclear Physics
2021
A bstract We propose a new approach of jet-based event reconstruction that aims to optimally exploit correlations between the products hadronic multi-pronged decay across all Lorentz boost regimes. The utilizes clustered small-radius jets as seeds define unconventional jets, referred PAIReD jets. constituents these are subsequently used inputs machine learning-based algorithms identify flavor content jet. demonstrate this achieves higher efficiencies in signal events containing heavy-flavor...
Since the discovery of Higgs boson in 2012, significant progress has been made measuring several properties related to boson. The large dataset available now facilitates precise measurements mass, natural width, couplings, production cross sections, and even differential fiducial sections. latest precision performed by CMS experiment sector are presented this note.
The Belle II experiment at the SuperKEKB accelerator in Japan is dedicated to exploring physics beyond Standard Model by performing high-precision measurements of heavy-flavor processes. will undergo a major upgrade during second long shutdown achieve target luminosity 6$\times$10$^{35}$ cm$^{-2}$s$^{-1}$. vertex detector critical component II, responsible for precise tracking and vertexing near interaction point. current be upgraded fully pixelated (VTX) based on Monolithic Active Pixel...
Deep learning is a standard tool in the field of high-energy physics, facilitating considerable sensitivity enhancements for numerous analysis strategies. In particular, identification physics objects, such as jet flavor tagging, complex neural network architectures play major role. However, these methods are reliant on accurate simulations. Mismodeling can lead to non-negligible differences performance data that need be measured and calibrated against. We investigate classifier response...
The Standard Model of particle physics describes neutrinos as massless, chargeless elementary particles that come in three different flavours. However, recent experiments indicate not only have mass, but also multiple mass eigenstates are identical to the flavour states, thereby indicating mixing. As an evidence mixing, been observed change from one another during their propagation, a phenomenon called neutrino oscillation. We studied reasons and derived probabilities change, both vacuum...
We propose a new approach of jet-based event reconstruction that aims to optimally exploit correlations between the products hadronic multi-pronged decay across all Lorentz boost regimes. The utilizes clustered small-radius jets as seeds define unconventional jets, referred PAIReD jets. constituents these are subsequently used inputs machine learning-based algorithms identify flavor content jet. demonstrate this achieves higher efficiencies in signal events containing heavy-flavor compared...
High Impedance Fault (HIF) results due to non-isolation of high intensity transmission line with that the low conductors like trees and ground etc. The current flowing in this case is so condition usually cannot be detected by conventional technologies such as relays fuses. However, needs sooner addressed quicker it can very hazardous human beings animals living nearby. As low, detection HIF a major challenging task distribution side power utility. This paper presents an analysis different...
Deep learning is a standard tool in the field of high-energy physics, facilitating considerable sensitivity enhancements for numerous analysis strategies. In particular, identification physics objects, such as jet flavor tagging, complex neural network architectures play major role. However, these methods are reliant on accurate simulations. Mismodeling can lead to non-negligible differences performance data that need be measured and calibrated against. We investigate classifier response...