A5057176841- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Distributed and Parallel Computing Systems
- Radiation Detection and Scintillator Technologies
- Scientific Computing and Data Management
- Medical Imaging Techniques and Applications
- CCD and CMOS Imaging Sensors
- International Science and Diplomacy
- Radiation Therapy and Dosimetry
- Nuclear reactor physics and engineering
- Stochastic processes and financial applications
- advanced mathematical theories
- Big Data Technologies and Applications
- Atomic and Subatomic Physics Research
- Peroxisome Proliferator-Activated Receptors
- Machine Learning in Healthcare
- Statistical Mechanics and Entropy
Purdue University West Lafayette
1993-2025
Institute of High Energy Physics
2017-2024
Purdue University System
2024
University of Antwerp
2024
A. Alikhanyan National Laboratory
2022-2024
Fermi National Accelerator Laboratory
2017-2023
Peking University
2020
Abstract We propose in this White Paper a concept for space experiment using cold atoms to search ultra-light dark matter, and detect gravitational waves the frequency range between most sensitive ranges of LISA terrestrial LIGO/Virgo/KAGRA/INDIGO experiments. This interdisciplinary experiment, called Atomic Experiment Dark Matter Gravity Exploration (AEDGE), will also complement other planned searches exploit synergies with wave detectors. give examples extended sensitivity matter offered...
Interpretable graph learning is in need as many scientific applications depend on models to collect insights from graph-structured data. Previous works mostly focused using post-hoc approaches interpret pre-trained (graph neural networks particular). They argue against inherently interpretable because the good interpretability of these often at cost their prediction accuracy. However, those methods fail provide stable interpretation and may extract features that are spuriously correlated...
Heteroatom fatty acid analogs of myristic containing oxygen or sulfur substituted for the alkyl methylene groups inhibit replication human immunodeficiency virus (HIV) in infected cells by acting as alternative substrates during viral protein myristoylation event. In this class compounds, 12-methoxydodecanoic is most potent compound but approximately 10(3)-fold less active than azidothymidine. The antiviral activity can be enhanced > 40-fold preparing L-alpha-phosphatidylethanolamine both...
Bumblebee is a foundation model for particle physics discovery, inspired by BERT. By removing positional encodings and embedding 4-vectors, captures both generator- reconstruction-level information while ensuring sequence-order invariance. Pre-trained on masked task, it improves dileptonic top quark reconstruction resolution 10-20% excels in downstream tasks, including toponium discrimination (AUROC 0.877) initial state classification 0.625). The flexibility of makes suitable wide range...
We report on searches for supersymmetry via pair production of partners electroweak gauge and Higgs bosons. The use proton-proton collision data recorded in 2016 by the CMS experiment at LHC. results are interpreted terms several simplified models supersymmetry.