The National User Facility for Advanced Accelerator Experimental Tests II (FACET-II) at SLAC National Accelerator Laboratory expands upon the experiments conducted at FACET. Its purpose is to build upon the decades-long experience developed conducting accelerator R at SLAC in the areas of advanced acceleration and coherent radiation techniques with high-energy electron and positron beams. This…
Physical Review Accelerators and Beams Template
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About the Physical Review Accelerators and Beams format
Physical Review Accelerators and Beams is a peer-reviewed journal published by American Physical Society, covering Particle Accelerators and Free-Electron Lasers, Particle accelerators and beam dynamics, Gyrotron and Vacuum Electronics Research. Over its lifetime it has published 2,268 papers, which have received 21,209 citations.
| Publisher | American Physical Society |
|---|---|
| Reference style | Numbered (APS) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, Physical Review Accelerators and Beams 12, 45 (2023).
Formats any DOI in Physical Review Accelerators and Beams style. No sign-up. |
| Publishes research in | Particle Accelerators and Free-Electron Lasers Particle accelerators and beam dynamics Gyrotron and Vacuum Electronics Research Laser-Plasma Interactions and Diagnostics Advanced X-ray Imaging Techniques |
| ISSN | 2469-9888 |
| Citation impact (2-yr) | 1.98 |
| h-index | 47 |
| i10-index | 744 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | European Organization for Nuclear Research |
| Journal website | journals.aps.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Physical Review Accelerators and Beams per year
Citation impact of Physical Review Accelerators and Beams by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Physical Review Accelerators and Beams
We report on the application of machine learning (ML) methods for predicting the longitudinal phase space (LPS) distribution of particle accelerators. Our approach consists of training a ML-based virtual diagnostic to predict the LPS using only nondestructive linac and e-beam measurements as inputs. We validate this approach with a simulation study for the FACET-II linac…
Compact laser-driven accelerators are pursued heavily worldwide because they make novel methods and tools invented at national laboratories widely accessible in science, health, security, and technology [V. Malka et al., Principles and applications of compact laser-plasma accelerators, Nat. Phys. 4, 447 (2008)]. Current leading laser-based accelerator technologies [S. P. D. Mangles et al., Monoenergetic beams…
High-fidelity physics simulations are powerful tools in the design and optimization of charged particle accelerators. However, the computational burden of these simulations often limits their use in practice for design optimization and experiment planning. It also precludes their use as on-line models tied directly to accelerator operation. We introduce an approach based on machine learning…
Vacuum radio-frequency (rf) breakdown is one of the major factors that limit operating accelerating gradients in rf particle accelerators. The occurrence of rf breakdowns was shown to be probabilistic, and can be characterized by a breakdown rate. Experiments with hard copper cavities showed that harder materials can reach larger accelerating gradients for the same breakdown…