Jonathan Edelen
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View article: Inverse model based error detection in beamline optics
Inverse model based error detection in beamline optics Open
Optics tuning in transfer lines and LINACs can be challenging due to the fact that multiple combinations of machine settings can lead to the same diagnostic output. Moreover, the lack of a periodic solution can limit the ability to infer o…
View article: Improved laser-plasma accelerator stability via high-bandwidth longitudinal focal position stabilization of a 100 TW-class laser system
Improved laser-plasma accelerator stability via high-bandwidth longitudinal focal position stabilization of a 100 TW-class laser system Open
Laser-plasma accelerators (LPAs) offer an attractive alternative to conventional accelerators for the development of compact electron sources and next-generation light sources. Due to orders-of-magnitude larger accelerating gradients, LPAs…
View article: A Compact Low-level RF Control System for Advanced Concept Compact Electron Linear Accelerator
A Compact Low-level RF Control System for Advanced Concept Compact Electron Linear Accelerator Open
A compact low-level RF (LLRF) control system based on RF system-on-chip (RFSoC) technology has been designed for the Advanced Concept Compact Electron Linear-accelerator (ACCEL) program, which has challenging requirements in both RF perfor…
View article: Machine learning for reducing noise in RF control signals at industrial accelerators
Machine learning for reducing noise in RF control signals at industrial accelerators Open
Industrial particle accelerators typically operate in dirtier environments than research accelerators, leading to increased noise in RF and electronic systems. Furthermore, given that industrial accelerators are mass produced, less attenti…
View article: Machine Learning for Reducing Noise in RF Control Signals at Industrial Accelerators
Machine Learning for Reducing Noise in RF Control Signals at Industrial Accelerators Open
Industrial particle accelerators typically operate in dirtier environments than research accelerators, leading to increased noise in RF and electronic systems. Furthermore, given that industrial accelerators are mass produced, less attenti…
View article: FAST Low-Energy Beamline Studies: Toward High-Peak 5D Brightness Beams for FAST-GREENS
FAST Low-Energy Beamline Studies: Toward High-Peak 5D Brightness Beams for FAST-GREENS Open
The FAST beamline is the injector for the planned Gamma-Ray Electron ENhanced Source (GREENS) program, which aims to achieve the demonstration and first application of a high-efficiency, high-average-power free-electron laser at 515 nm. FA…
View article: Variational Autoencoders for Noise Reduction in Industrial LLRF Systems
Variational Autoencoders for Noise Reduction in Industrial LLRF Systems Open
Industrial particle accelerators inherently operate in much dirtier environments than typical research accelerators. This leads to an increase in noise both in the RF system and in other electronic systems. Combined with the fact that indu…
View article: LLRF System Considerations for a Compact, Commercial C-band Accelerator using the AMD Xilinx RF-SoC
LLRF System Considerations for a Compact, Commercial C-band Accelerator using the AMD Xilinx RF-SoC Open
This work describes the LLRF and control system in use for a novel accelerator structure developed for a compact design operating in C-band developed by SLAC, with collaboration from RadiaBeam and RadiaSoft. This design is a pulsed RF/puls…
View article: A smart alarm for particle accelerator beamline operations
A smart alarm for particle accelerator beamline operations Open
We present the initial results of a proof-of-concept ‘smart alarm’ for the Continuous Electron Beam Accelerator Facility injector beamline at Jefferson Lab. To minimize machine downtime and improve operational efficiency, an autonomous ala…
View article: Online correction of laser focal position using FPGA-based ML models
Online correction of laser focal position using FPGA-based ML models Open
Ultrafast lasers play an increasingly critical role in the generation, manipulation, and acceleration of electron beams for High Energy Physics applications. Laser plasma accelerators enable order of magnitude improvements in accelerating …
View article: Removing Noise in BPM Measurements with Variational Autoencoders
Removing Noise in BPM Measurements with Variational Autoencoders Open
Noise in beam measurements is an ever-present challenge in accelerator operations. In addition to the challenges presented by hardware and signal processing, new operational regimes, such as ultra-short bunches, create additional difficult…
View article: A Smart Alarm for the CEBAF Injector
A Smart Alarm for the CEBAF Injector Open
We present initial results from a proof-of-concept ?smart alarm? for the CEBAF injector. Because of the injector's large number of parameters and possible fault scenarios, it is highly desirable to have an autonomous alarm system that can …
View article: OBSERVATION OF REPETITION-RATE DEPENDANT EMISSION FROM AN UN-GATED THERMIONIC CATHODE RF GUN
OBSERVATION OF REPETITION-RATE DEPENDANT EMISSION FROM AN UN-GATED THERMIONIC CATHODE RF GUN Open
Recent work at Fermilab in collaboration with the Advanced Photon Source and members of other national labs, designed an experiment to study the relationship between the RF repetition rate and the average current per RF pulse. While existi…
View article: Automatic Phase Calibration for RF Cavities using Beam-Loading Signals
Automatic Phase Calibration for RF Cavities using Beam-Loading Signals Open
Precise calibration of the cavity phase signals is necessary for the operation of any particle accelerator. For many systems this requires human in the loop adjustments based on measurements of the beam parameters downstream. Some recent w…
View article: Development of a Smart Alarm System for the CEBAF Injector
Development of a Smart Alarm System for the CEBAF Injector Open
RadiaSoft and Jefferson Laboratory are working together to develop a machine-learning-based smart alarm system for the CEBAF injector. Because of the injector’s large number of parameters and possible fault scenarios, it is highly desirabl…
View article: FAST-GREENS: A High Efficiency Free Electron Laser Driven by Superconducting RF Accelerator
FAST-GREENS: A High Efficiency Free Electron Laser Driven by Superconducting RF Accelerator Open
In this paper we’ll describe the FAST-GREENS experimental program where a 4 m-long strongly tapered helical undulator with a seeded prebuncher is used in the high gain TESSA regime to convert a significant fraction (up to 10 %) of energy f…
View article: Facilitating Machine Learning Collaborations Between Labs, Universities, and Industry
Facilitating Machine Learning Collaborations Between Labs, Universities, and Industry Open
It is clear from numerous recent community reports, papers, and proposals that machine learning is of tremendous interest for particle accelerator applications. The quickly evolving landscape continues to grow in both the breadth and depth…
View article: Parallelization of Radia Magnetostatics Code
Parallelization of Radia Magnetostatics Code Open
Radia 3D magnetostatics code has been used for the design of insertion devices for light sources over more than two decades. The code uses the magnetization integral approach that is efficient for solving permanent magnet and hybrid magnet…
View article: A Browser-based Toolkit for Improved Particle Accelerator Controls (CRADA Final Report)
A Browser-based Toolkit for Improved Particle Accelerator Controls (CRADA Final Report) Open
The CRADA objective is to 1) Generalize web tools for data analytics and machine learning, and 2) Develop and test a smart-alarm system at Jefferson Lab.
View article: Autoencoder Based Analysis of RF Parameters in the Fermilab Low Energy Linac
Autoencoder Based Analysis of RF Parameters in the Fermilab Low Energy Linac Open
Machine learning (ML) has the potential for significant impact on the modeling, operation, and control of particle accelerators due to its ability to model nonlinear behavior, interpolate on complicated surfaces, and adapt to system change…
View article: Proceedings of the 2021 Improving Scientific Software Conference
Proceedings of the 2021 Improving Scientific Software Conference Open
The application of machine learning techniques for anomaly detection in particle accelerators has gained popularity in recent years. These efforts have ranged from the analysis of quenches in radio frequency cavities and superconducting ma…
View article: Прототип протонного ондуляторного линейного ускорителя
Прототип протонного ондуляторного линейного ускорителя Open
One of the ways to realize undulator acceleration is to ensure particles motion in a magnetostatic undulator, where spatial oscillations of particles in the transverse direction are synchronized with temporal oscillations of transverse hig…
View article: Modeling of Capillary Discharge Plasmas for Wakefield Accelerators and Beam Transport
Modeling of Capillary Discharge Plasmas for Wakefield Accelerators and Beam Transport Open
Next generation accelerators demand sophisticated beam sources to reach ultra-low emittances at large accelerating gradients, along with improved optics to transport these beams without degradation. Capillary discharge plasmas can address …
View article: First Results of the IOTA Ring Research at Fermilab
First Results of the IOTA Ring Research at Fermilab Open
The IOTA ring at Fermilab is a unique machine exclusively dedicated to accelerator beam physics R The research conducted at IOTA includes topics such as nonlinear integrable optics, suppression of coherent beam instabilities, optical stoch…
View article: A Vlasov Algorithm Derived from Phase Space Conservation
A Vlasov Algorithm Derived from Phase Space Conservation Open
Existing approaches to solving the Vlasov equation treat the system as a partial differential equation on a phase space grid, and track in either an Eulerian, Lagrangian, or semi-Lagrangian picture. We present an alternative approach, whic…
View article: Advanced modeling of field enhanced thermionic emission
Advanced modeling of field enhanced thermionic emission Open
Shaped emitters are of interest to a broad range of applications in vacuum electronic devices. In particular, thermionic energy converters (TECs) take advantage of shaped emitters to increase the local surface field, thereby extracting mor…
View article: Optimal Control for Rapid Switching of Beam Energies for the ATR Line at BNL
Optimal Control for Rapid Switching of Beam Energies for the ATR Line at BNL Open
The Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory will undergo a beam energy scan over the next several years. To execute this scan, the transfer line between the Alternating Gradient Synchrotron (AGS) and RHIC o…
View article: High-Fidelity Three-Dimensional Simulations of Thermionic Energy Converters
High-Fidelity Three-Dimensional Simulations of Thermionic Energy Converters Open
Thermionic energy converters (TEC) are a class of thermoelectric devices, which promise improvements to the efficiency and cost of both small- and large-scale electricity generation. A TEC is comprised of a narrowly-separated thermionic em…
View article: Advanced Modeling and Optimization of Thermionic Energy Converters
Advanced Modeling and Optimization of Thermionic Energy Converters Open
Thermionic energy converters (TEC) are a class of thermoelectric devices, which promise improvements to the efficiency and cost of both small- and large-scale electricity generation. A TEC is comprised of a narrowly-separated thermionic em…
View article: First Measurements of Nonlinear Decoherence in the IOTA Ring
First Measurements of Nonlinear Decoherence in the IOTA Ring Open
The Integrable Optics Test Accelerator (IOTA), at Fermi National Laboratory is aimed at testing nonlinear optics for the next generation of high intensity rings. Through use of a special magnetic element the ring is designed to induce a la…