A5013714349- 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
- Black Holes and Theoretical Physics
- Parallel Computing and Optimization Techniques
- Particle Accelerators and Free-Electron Lasers
- Atomic and Subatomic Physics Research
- Distributed and Parallel Computing Systems
- Nuclear reactor physics and engineering
- Astro and Planetary Science
- Big Data Technologies and Applications
- Gamma-ray bursts and supernovae
- Stochastic processes and financial applications
- Astrophysics and Cosmic Phenomena
- Scientific Computing and Data Management
- Planetary Science and Exploration
- Big Data and Digital Economy
- Noncommutative and Quantum Gravity Theories
- Medical Imaging Techniques and Applications
- Statistical Methods and Bayesian Inference
Massachusetts Institute of Technology
2021-2025
Moscow Institute of Thermal Technology
2024
Institute of High Energy Physics
2022-2024
University of Antwerp
2024
A. Alikhanyan National Laboratory
2022-2024
Northeastern University
2018-2023
University of Minnesota
2023
Universidad del Noreste
2019
Embry–Riddle Aeronautical University
2018
In this work, we consider the case of a strongly coupled dark/hidden sector, which extends Standard Model (SM) by adding an additional non-Abelian gauge group. These extensions generally contain matter fields, much like SM quarks, and fields similar to gluons. We focus on exploration such sectors where dark particles are produced at LHC through portal undergo rapid hadronization within sector before decaying back, least in part potentially with sizeable lifetimes, particles, giving range...
Successful operation of large particle detectors like the Compact Muon Solenoid (CMS) at CERN Large Hadron Collider requires rapid, in-depth assessment data quality. We introduce ``AutoDQM'' system for Automated Data Quality Monitoring using advanced statistical techniques and unsupervised machine learning. Anomaly detection algorithms based on beta-binomial probability function, principal component analysis, neural network autoencoder image evaluation are tested full set proton-proton...
Abstract We present the first comprehensive set of lunar exospheric line width and derived effective temperatures as a function phase (66° waxing to 79° waning phase). Data were collected between November 2013 May 2014 during six observing runs at National Solar Observatory McMath‐Pierce Telescope by applying high‐resolution Fabry‐Perot spectroscopy ( R ~ 180,000) observe emission from sodium (5,889.9509 Å, D2 line). The 3‐arc min field view instrument, corresponding ~336 km mean distance...
Abstract Analysis on HEP data is an iterative process in which the results of one step often inform next. In exploratory analysis, it common to perform computation a collection events, then view (often with histograms) decide what try Awkward Array Scikit-HEP Python package that enables analysis array-at-a-time operations implement cuts as slices, combinatorics composable functions, etc. However, most C++ libraries, such FastJet, have imperative, one-particle-at-a-time interface, would be...
The High-Luminosity LHC (HL-LHC) will open an unprecedented window on the weak-scale nature of universe, providing high-precision measurements Standard Model as well searches for new physics beyond Model. Such studies require information-rich datasets with a statistical power that matches high luminosity provided by Phase-2 upgrade LHC. Efficient collection those be challenging task, given harsh pileup environment average 200 proton-proton interactions per bunch crossing. CMS uses two level...
Analysis on HEP data is an iterative process in which the results of one step often inform next. In exploratory analysis, it common to perform computation a collection events, then view (often with histograms) decide what try Awkward Array Scikit-HEP Python package that enables analysis array-at-a-time operations implement cuts as slices, combinatorics composable functions, etc. However, most C++ libraries, such FastJet, have imperative, one-particle-at-a-time interface, would be inefficient...