A5079876750- Particle accelerators and beam dynamics
- Nuclear Physics and Applications
- Particle Accelerators and Free-Electron Lasers
- Magnetic confinement fusion research
- Superconducting Materials and Applications
- Radiation Detection and Scintillator Technologies
- Particle Detector Development and Performance
- Plasma Diagnostics and Applications
- Gyrotron and Vacuum Electronics Research
- Pulsed Power Technology Applications
- Nuclear reactor physics and engineering
- Atomic and Subatomic Physics Research
- Laser-Plasma Interactions and Diagnostics
- Advanced Fiber Optic Sensors
- Computational Physics and Python Applications
- Advanced Optical Sensing Technologies
- Formal Methods in Verification
- Fault Detection and Control Systems
- Oil and Gas Production Techniques
- Astro and Planetary Science
- Advanced Malware Detection Techniques
- Embedded Systems Design Techniques
- Diamond and Carbon-based Materials Research
- Advanced Neural Network Applications
- Advanced Data Storage Technologies
Oak Ridge National Laboratory
2014-2024
Bethel University
2019-2021
Spallation Neutron Source
2006-2018
Oak Ridge Associated Universities
2015-2018
Fermi National Accelerator Laboratory
1992-2015
Fermi Research Alliance
2003
Vanderbilt University
1987-1988
Abstract Particle accelerators are complex and comprise thousands of components, with many pieces equipment running at their peak power. Consequently, they can fault abort operations for numerous reasons, lowering efficiency science output. To avoid these faults, we apply anomaly detection techniques to predict unusual behavior perform preemptive actions improve the total availability. Supervised machine learning (ML) such as siamese neural network models outperform often-used unsupervised...
High-power particle accelerators are complex machines with thousands of pieces equipmentthat frequently running at the cutting edge technology. In order to improve day-to-dayoperations and maximize delivery science, new analytical techniques being exploredfor anomaly detection, classification, prognostications. As such, we describe applicationof an uncertainty aware Machine Learning method, Siamese neural network model, predictupcoming errant beam pulses using data from a single monitoring...
Thin carbon foils are used as strippers for charge exchange injection into high intensity proton rings. However, the stripping become radioactive and produce uncontrolled beam loss, which is one of main factors limiting power in Recently, we presented a scheme laser an ${\mathrm{H}}^{\ensuremath{-}}$ Spallation Neutron Source (SNS) ring. First, atoms converted to ${\mathrm{H}}^{0}$ by magnetic field, then excited from ground state upper levels laser, states protons field. In this paper...
We describe the measurement of fast dynamic strains in mercury target module spallation neutron source using customized high-radiation-tolerant fiber-optic strain sensors. The sensors are made from fluorine-doped single-mode optical fibers that demonstrated high radiation tolerance at 1300 nm. A digital phase demodulation scheme is employed signal interrogation system, which enables bandwidth and has an excellent adaptability to sensor output power fluctuations gap variations. Fast transient...
A high peak-power Q-switched laser has been used to monitor the ion beam profiles in superconducting linac at Spallation Neutron Source (SNS). The suffers from position drift due movement, vibration, or thermal effects on optical components 250-meter long transport line. We have designed, bench-tested, and implemented a stabilization system by using an Ethernet CMOS camera, computer image processing analysis, piezo-driven mirror platform. can respond frequencies up 30 Hz with detection...
The effectiveness of small-bubble gas injection to mitigate cavitation-induced erosion damage and decrease strain in Spallation Neutron Source (SNS) target vessels was characterized using photography, laser-line scanning, in-situ vessel measurements. Observations from early targets showed that caused appreciable mass loss along the inner wall. Later designs incorporated a cavitation mitigation technique called injection, which small helium bubbles were introduced into flowing mercury during...
A new flying wire system replaces an older to enhance the analysis of beam emittance, improve reliability, and support future upgrades Tevatron. New VME data acquisition timing modules allow for more bunches be sampled precisely. LabVIEW application, running on a Macintosh computer, controls motion. The application also analyzes stores as well handles local remote commands. flies three wires fits profiles 72 gaussian function in total seconds. console allows operator control display from any...
High-radiation-tolerant fiber-optic strain sensors were recently developed to measure the transient proton-beam-induced profiles on mercury target vessel at Spallation Neutron Source (SNS). Here we report measurement results and radiation-resistance performance latest SNS equipped with helium gas injection. The have demonstrated efficacy of injection reduce cyclic stress module.
The measurement of the longitudinal behavior accelerated particle beams at Fermilab is crucial to optimization and control beam maximizing integrated luminosity for physics experiments. Longitudinal measurements in Tevatron Main Injector synchrotrons are based on analysis signals from resistive wall current monitors. This article describes signal processing performed by a 2 GHz-bandwidth oscilloscope together with computer running LabVIEW program which calculates parameters.
Unstable, dynamically changing environments represent a major challenge for the design of adaptive control systems. Significant changes in process model, various hardware failures may require modification basic law order to maintain plant. To support and implementation structurally systems, we have developed new architecture programming tools. The enables on-line automatic reconfiguration structure. most important features our approach are: (1) knowledge-based techniques are used model...
High-power particle accelerators are complex machines with thousands of pieces equipmentthat frequently running at the cutting edge technology. In order to improve day-to-dayoperations and maximize delivery science, new analytical techniques being exploredfor anomaly detection, classification, prognostications. As such, we describe applicationof an uncertainty aware Machine Learning method, Siamese neural network model, predictupcoming errant beam pulses using data from a single monitoring...