A5108166770- 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
- Neutrino Physics Research
- Cosmology and Gravitation Theories
- Distributed and Parallel Computing Systems
- Medical Imaging Techniques and Applications
- Astrophysics and Cosmic Phenomena
- Radiation Detection and Scintillator Technologies
- Black Holes and Theoretical Physics
- Particle Accelerators and Free-Electron Lasers
- Advanced Data Storage Technologies
- Atomic and Subatomic Physics Research
- Big Data Technologies and Applications
- Superconducting Materials and Applications
- Advanced X-ray and CT Imaging
- Anomaly Detection Techniques and Applications
- Twentieth Century Scientific Developments
- Advanced Neural Network Applications
- Digital Radiography and Breast Imaging
- COVID-19 diagnosis using AI
University of Liverpool
2020-2025
European Organization for Nuclear Research
2023-2025
A. Alikhanyan National Laboratory
2024
Sapienza University of Rome
2018-2023
The University of Adelaide
2018-2023
Istituto Nazionale di Fisica Nucleare, Sezione di Roma I
2018-2023
University of California, Santa Cruz
2023
Istituto Nazionale di Fisica Nucleare, Sezione di Pisa
2023
TU Dortmund University
2020
Duke University
2019
The Large Hadron Collider at CERN produces immense volumes of complex data from high-energy particle collisions, demanding sophisticated analytical techniques for effective interpretation. Neural Networks, including Graph have shown promise in tasks such as event classification and object identification by representing collisions graphs. However, while Networks excel predictive accuracy, their "black box" nature often limits interpretability, making it difficult to trust decision-making...
Several new physics models that extend the Standard Model require existence of Long-Lived Particle (LLP) as a solution for problems like Dark Matter and Naturalness. The ATLAS Phase-II upgrade detector expected large data set from high luminosity LHC offers an opportunity to probe yet unexplored region phase space. For muon spectrometer based searches, neutral LLP decaying collimated jets leptons light hadrons (lepton-jets) are great interest. These particles offer unique signature can lead...
Several new physics models predict the existence of neutral particles with macroscopic life-times that decay to pairs leptons and light hadrons a jet-like structure (lepton-jets). These particles, decaying outside interaction region, will give rise striking signatures in detectors at LHC. can be detected through numerous unconventional signatures: long time-of-flight, late calorimeter energy deposits or displaced vertices. The most recent ATLAS results based on $36~\mathrm{fb}^{-1}$ data...