A5042762646- 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
- Cosmology and Gravitation Theories
- Computational Physics and Python Applications
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Distributed and Parallel Computing Systems
- Astrophysics and Cosmic Phenomena
- Radiation Detection and Scintillator Technologies
- Medical Imaging Techniques and Applications
- Advanced Data Storage Technologies
- Scientific Computing and Data Management
- Particle Accelerators and Free-Electron Lasers
- Muon and positron interactions and applications
- Superconducting Materials and Applications
- Particle accelerators and beam dynamics
- Nuclear reactor physics and engineering
- Big Data Technologies and Applications
- Structural Analysis of Composite Materials
- Engineering and Materials Science Studies
- Statistical Distribution Estimation and Applications
- Islamic Studies and History
University of Washington
2022-2025
Stony Brook University
2020-2024
Government of Catalonia
2024
A. Alikhanyan National Laboratory
2024
Atlas Scientific (United States)
2024
Simon Fraser University
2014-2023
European Organization for Nuclear Research
2012-2023
The University of Adelaide
2014-2023
Seattle University
2023
Brandeis University
2020
The identification of jets containing b-hadrons, b-tagging, is critical for many ATLAS physics analyses. Its performance measured in data and the simulation corrected through simulation-to-data scale factors. However, such measurement only covers a certain jet $p_T$ range, so b-tagging at higher must be evaluated via simulation-based extrapolation method. This work considers widely used scheme, "pseudo-continuous" working points, which constitutes flexible way to apply set different...
The large difference between the Planck scale and electroweak scale, known as hierarchy problem, has been addressed in some models through existence of extra spatial dimensions. A search for evidence dimensions performed, an analysis diphoton final state data recorded 2011 with ATLAS detector at CERN Large Hadron Collider. uses a dataset 2.12 fb−1 proton-proton collisions √s = 7 TeV. invariant mass spectrum is observed to be good agreement expected Standard Model (SM) background. We set 95%...
The document introduces two new methods on the implementation of flavour tagging uncertainties in ATLAS physics analyses. In order to reduce number flavor-tagging calibration uncertainties, analyses use an eigenvector decomposition approach. However, resulting eigenvectors are general not same across selections, so can be directly correlated combination A method, called \textit{eigenvector recomposition}, has been designed overcome this problem. This proceeding describes method and gives...