A5108166962- 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
- Medical Imaging Techniques and Applications
- Distributed and Parallel Computing Systems
- Radiation Detection and Scintillator Technologies
- Scientific Computing and Data Management
- Big Data Technologies and Applications
- Sports Performance and Training
- Black Holes and Theoretical Physics
- Advanced Data Storage Technologies
- Machine Learning in Materials Science
- Atomic and Subatomic Physics Research
- High Altitude and Hypoxia
- Particle Accelerators and Free-Electron Lasers
- Cardiovascular and exercise physiology
- Astrophysics and Cosmic Phenomena
- Sports injuries and prevention
- Quantum Computing Algorithms and Architecture
- Nutrition and Health in Aging
Lawrence Berkeley National Laboratory
2017-2024
Moscow Institute of Thermal Technology
2024
University of California, Berkeley
2019-2023
The University of Adelaide
2018-2023
Massachusetts Institute of Technology
2022
Azerbaijan National Academy of Sciences
2020
University of Central Florida
2013-2015
National Superconducting Cyclotron Laboratory
2015
Michigan State University
2015
University of Virginia
2003
Jajtner, AR, Hoffman, JR, Scanlon, TC, Wells, AJ, Townsend, Beyer, KS, Mangine, GT, McCormack, WP, Bohner, JD, Fragala, MS, and Stout, JR. Performance muscle architecture comparisons between starters nonstarters in National Collegiate Athletic Association Division I women's soccer. J Strength Cond Res 27(9): 2355–2365, 2013—This study compared performance (MA) changes (S) (NS) during a soccer season. Twenty-eight women (19.9 ± 1.1 years; 1.71 0.08 m; 64.7 6.4 kg) were monitored for vertical...
This study examined the effects of an oral nutritional supplement fortified with two different doses beta-alanine on body composition, muscle function and physical capacity in older adults. Using a double-blind placebo controlled design, 60 men women (age ± SD = 70.7 6.2 yrs) were randomly assigned to one three treatment groups: 1) (ONS; n 20) (8 oz; 230 kcal; 12 g PRO; 31 CHO; 6 FAT), 2) ONS plus 800 mg (ONS800; 19), 3) 1200 (ONS1200; 21). Treatments consumed twice per day for weeks. At...
By analyzing preliminary experimental measurements of charge-balance functions from the STAR Collaboration at Relativistic-Heavy-Ion Collider (RHIC), it is found that pictures where balancing charges are produced in a single surge, and therefore separated by length scale, inconsistent with data. In contrast, model assumes two surges, one associated formation thermalized quark-gluon plasma second hadronization, provides far superior reproduction A statistical analysis comparison finds...
The effect of altitude on soccer game activity profiles was retrospectively examined in six NCAA Division I female players. Comparisons were made between two matches played at sea level (SL) and one match a moderate (1839 m). A 10-Hz global positioning system device used to measure distance velocity. rate total capacity (TDC) high intensity running (HIR) as well percent time HIR evaluated. Significant differences seen the (120.55 ± 8.26 m·min-1 versus 105.77 10.19 m·min-1) (27.65 9.25 25.07...
Direct searches for new particles at colliders have traditionally been factorized into model proposals by theorists and testing experimentalists. With the recent advent of machine learning methods that allow simultaneous unfolding all observables in a given phase space region, there is opportunity to blur these traditional boundaries performing on unfolded data. This could facilitate research program where data are explored their natural high dimensionality with as little bias possible. We...
Accounting for inaccuracies in Monte Carlo simulations is a crucial step any high energy physics analysis. It becomes especially important when training machine learning models, which can amplify simulation and introduce large discrepancies systematic uncertainties the model applied to data. In this paper, we method transform simulated events better match data using normalizing flows, class of deep learning-based density estimation models. Our proposal uses technique called chained quantile...
In the drive to create wired automobile, General Motors developed OnStar system, a subscription-based wireless dashboard communication service that provided numerous safety and convenience features including emergency assistance, remote door unlocking, making hotel reservations. GM was faced with several key questions regarding its market-leading telematics system. Should it syndicate OnStar, or of more value company as an exclusive feature? division be spun off? Would devices become...
Expanding the mass range and techniques by which we search for dark matter is an important part of worldwide particle physics program. Accelerator-based searches sector particles are a uniquely compelling this program as way to both create detect in laboratory explore searching mediators excited particles. This paper focuses on developing DarkQuest experimental concept gives outlook related enhancements collectively referred LongQuest. proton fixed-target experiment with leading sensitivity...
Preliminary charge balance functions from the STAR Collaboration at Relativistic Heavy Ion Collider (RHIC) are compared to a model where quarks produced in two waves. If chemically equilibrated quark-gluon plasma (QGP) is created strength and diffusive spread of first wave should be governed by chemical composition QGP, while second determined increased number required make observed final-state hadrons. A simple parameterizes chemistry super-hadronic matter correlation lengths for...
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the concept of integrating power ML methods into real-time experimental data processing loop to accelerate scientific discovery. The material report builds on two workshops held by Fast Science covers three main areas: across a number domains; training implementing performant resource-efficient algorithms; computing architectures, platforms, technologies deploying these...
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud Netflix. Fully processing these requires both sufficient compute power efficient workflows. Recent advances in Machine Learning (ML) Artificial Intelligence (AI) either improve or replace existing domain-specific algorithms to increase workflow efficiency. Not only the performance of current algorithms, but they often be executed more quickly,...
A precision measurement of the delivered luminosity is a key component ATLAS physics program at Large Hadron Collider (LHC). fundamental ingredient strategy to control systematic uncertainties affecting absolute has been compare measurements several luminometers, most which use more than one counting technique. The level consistency across various methods provides valuable cross-checks as well an estimate detector-related uncertainties. This poster describes development algorithm based on...
Tracking in high density environments plays an important role many physics analyses at the LHC. In such environments, it is possible that two nearly collinear particles contribute to same hits as they travel through ATLAS pixel detector and semiconductor tracker. If are sufficiently collinear, only a single track candidate will be created, denominated "merged track", leading decrease tracking efficiency. These proceedings show new technique uses boosted decision tree classify reconstructed...