activity
20102025
most citedUltrafast Relativistic Electron Nanoprobes

43 citations · 167 across the 25 of their papers we have counts for

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15 papers · 1 filter

physics.acc-ph2025

Experimental verification of space-charge saturation scaling laws in high-gradient photocathode RF guns

Paul Denham, David Garcia, Atharva Kulkarni +4

We investigate the limits of photoemission yield in a high-gradient S-band radiofrequency photoinjector in the space-charge-dominated regime. Using an RF phase-scan technique, wher…

physics.acc-ph2024

Harnessing Plasmonic Interference for Nanoscale Ultrafast Electron Sources

Alimohammed Kachwala, Mansoure Moeini Rizi, Christopher M Pierce +3

In this paper we demonstrate the use of plasmonic focusing in conjunction with non-linear photoemisison to develop geometrically flat nanoscale electron sources with less than 40 p…

physics.acc-ph2023★ 12 cited

Virtual-Diagnostic-Based Time Stamping for Ultrafast Electron Diffraction

Frederick Cropp, Lauren Moos, Alexander Scheinker +6

In this work, non-destructive virtual diagnostics are applied to retrieve the electron beam time of arrival and energy in a relativistic ultrafast electron diffraction (UED) beamli…

physics.acc-ph2022

The LCLS-II Gun & Buncher LLRF Controller Upgrade

Christos Bakalis, Andrew Benwell, Daron Chabot +6

LCLS-II is currently in its commissioning phase at SLAC. It is an X-ray FEL driven by a CW superconducting LINAC. The beam injector plays a crucial role in the overall performance…

physics.acc-ph2022

Experimental characterization of photoemission from plasmonic nanogroove arrays

Christopher M. Pierce, Daniel B. Durham, Fabrizio Riminucci +5

Metal photocathodes are an important source of high-brightness electron beams, ubiquitous in the operation of both large-scale accelerators and table-top microscopes. When the surf…

physics.acc-ph2022★ 5 cited

Report of Snowmass 21 Accelerator Frontier Topical Group 6 on Advanced Accelerators

C. Geddes, M. Hogan, P. Musumeci +1

The Snowmass 2021 Accelerator Frontier topical group \# 6 on Advanced Accelerator Concepts, covers new R\&D concepts for particle acceleration, generation, and focusing. Based on c…

physics.acc-ph2022

Electron Sources for Accelerators

Daniele Filippetto, Joe Grames, Carlos Hernandez-Garcia +5

Electron sources are essential to an array of electron accelerator supporting research in high-energy physics and beyond. This report summarizes the "Snowmass 2021 Electron Source…

physics.acc-ph2022★ 2 cited

Feedback and control systems for future linear colliders: White Paper for Snowmass 2021 Topical Group AF07-RF

Daniele Filippetto, Carlos Serrano, Qiang Du +9

Particle accelerators for high energy physics will generate TeV-scale particle beams in large, multi-Km size machines colliding high brightness beams at the interaction point [1-4]…

physics.acc-ph2022★ 2 cited

Snowmass Whitepaper AF6: Plasma-Based Particle Sources

M. Fuchs, B. A. Shadwick, N. Vafaei-Najafabadi +9

High-brightness beams generated by particle sources based on advanced accelerator concepts have the potential to become an essential part of future accelerator technology. High-gra…

physics.acc-ph2022★ 4 cited

Laser-Driven Structure-Based Accelerators

R. J. England, D. Filippetto, G. Torrisi +17

Particle acceleration in microstructures driven by ultrafast solid state lasers is a rapidly evolving area of advanced accelerator research, leading to a variety of concepts based…

physics.acc-ph2022★ 3 cited

Snowmass21 Accelerator Modeling Community White Paper

S. Biedron, L. Brouwer, D. L. Bruhwiler +24

After a summary of relevant comments and recommendations from various reports over the last ten years, this paper examines the modeling needs in accelerator physics, from the model…

physics.acc-ph2021★ 1 cited

Adaptive deep learning for time-varying systems with hidden parameters: Predicting changing input beam distributions of compact particle accelerators

Alexander Scheinker, Frederick Cropp, Sergio Paiagua +1

Machine learning (ML) tools such as encoder-decoder deep convolutional neural networks (CNN) are able to extract relationships between inputs and outputs of large complex systems d…

physics.acc-ph2020★ 8 cited

Single shot cathode transverse momentum imaging in high brightness photoinjectors

Peng-Wei Huang, Houjun Qian, Ye Chen +18

In state of the art photoinjector electron sources, thermal emittance from photoemission dominates the final injector emittance. Therefore, low thermal emittance cathode developmen…

physics.acc-ph2019★ 14 cited

RF design of APEX2 two-cell continuous-wave normal conducting photoelectron gun cavity based on multi-objective genetic algorithm

T. Luo, H. Feng, D. Filippetto +8

High brightness, high repetition rate electron beams are key components for optimizing the performance of next generation scientific instruments, such as MHz-class X-ray Free Elect…

physics.acc-ph2019★ 13 cited

Knife-edge based measurement of the 4D transverse phase space of electron beams with picometer-scale emittance

Fuhao Ji, Jorge Giner Navarro, Pietro Musumeci +3

Precise manipulation of high brightness electron beams requires detailed knowledge of the particle phase space shape and evolution. As ultrafast electron pulses become brighter, ne…