A5101970964- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Computational Physics and Python Applications
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Distributed and Parallel Computing Systems
- Medical Imaging Techniques and Applications
- Astrophysics and Cosmic Phenomena
- Advanced Data Storage Technologies
- Radiation Detection and Scintillator Technologies
- Atomic and Subatomic Physics Research
- Black Holes and Theoretical Physics
- Particle Accelerators and Free-Electron Lasers
- Big Data Technologies and Applications
- Digital Radiography and Breast Imaging
- Structural Analysis of Composite Materials
- Superconducting Materials and Applications
- Polynomial and algebraic computation
- Chaos-based Image/Signal Encryption
- Hydrology and Watershed Management Studies
- Image Processing Techniques and Applications
- Advanced X-ray and CT Imaging
Humboldt-Universität zu Berlin
2022-2025
Islamic Azad University, Tehran
2025
Northern Illinois University
2020-2024
Institute for High Energy Physics
2023-2024
Institute of Science and Technology
2023-2024
A. Alikhanyan National Laboratory
2024
SR Research (Canada)
2024
Federación Española de Enfermedades Raras
2024
University of Shahrood
2024
Atlas Scientific (United States)
2024
Abstract A new metaheuristic optimizer combined with artificial neural networks is proposed for streamflow prediction. Hence, the study aimed to forecast monthly of main rivers in Urmia, Iran, by considering data shortage and using network (ANN) models. By combining three variables: temperature, precipitation, streamflow, we formulated five patterns, where 70% were used model training, 30% testing. To improve performance ANN, evaluated a optimization algorithm, reptile search algorithm...
The TauSpinner algorithm is a tool that allows one to modify the physics model of Monte Carlo generated samples due changed assumptions event production dynamics, but without need re-generating events. With help weights $$\tau $$ -lepton or decay processes can be modified accordingly new model. In recent paper version ver.2.0.0 has been presented which includes provision for introducing non-standard states and couplings study their effects in vector-boson-fusion by exploiting spin...
Abstract We present a method for the measurement of parameters elastic and inelastic interactions charmonium with hadrons. In this technique, we use femtoscopic analysis charmonium-hadron correlations at low relative momentum Lednicky-Lyuboshitz analytical model to extract interaction parameters. argue that such study is already feasible in LHCb experiment LHC, discuss prospects studies STAR RHIC other experiments LHC.
In this paper, we review results obtained by using the TauSpinner package.A sample of pp → τ + jj events, where spin effects are not included, is supplemented with weight, then helicities leptons attributed.The systematic uncertainties due to variation its input parameters as well recent development on implementation non-Standard Model matrix elements presented.
In analyses using reconstructed $\tau$ leptons, estimation of backgrounds arising for jets misidentified as hadronically decaying $\tau$s becomes a crucial issue. This paper presents two methods employed by the ATLAS experiment at LHC, fully data-driven fake factor method and semi-data-driven rate method. Example in background modelling $H^{\pm}\rightarrow\tau\nu$ analysis applied to search high mass resonances $\tau\tau$, $\tau_{ \rm had}\tau_{\rm had}$ channel, are presented. The...