High-Gradient Structures for Acceleration of Electrons by Short-Wave Pulses of Čerenkov Superradiance.

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Title: High-Gradient Structures for Acceleration of Electrons by Short-Wave Pulses of Čerenkov Superradiance.
Authors: Vikharev, A. A.1 (AUTHOR) alvikharev@ipfran.ru, Zotova, I. V.1 (AUTHOR), Fedotov, A. E.1 (AUTHOR), Ginzburg, N. S.1 (AUTHOR), Yalandin, M. I.2 (AUTHOR)
Source: Radiophysics & Quantum Electronics. Jun2025, Vol. 68 Issue 1, p25-30. 6p.
Subjects: Particle acceleration, Electron accelerators, Electron beams, Millimeter waves, Cherenkov radiation, Computer simulation
Abstract: We consider the possibility of accelerating electrons by subnanosecond pulses of short-wave millimeter- wavelength Čerenkov superradiance (SR) in accelerating cells (with a side-feeding perpendicular to the electron beam motion) using numerical simulation. Such systems are of greatest interest when electrons already have a large amount of energy. It was assumed that the electron energy at the input to the structure is 3 MeV, which can be supplied by forming the initial electron bunches based on photoinjector systems. The calculations were performed with allowance for the achieved parameters of 150 GHz SR pulses (peak power 80 MW and duration 180 ps), as well as considering the breakdown field values determined in previous accelerator experiments with about 38-GHz SR pulses. The possibility of achieving electron energies at a level of 5.0–5.5 MeV in compact systems with accelerator gradients significantly exceeding the values achieved with use of long-wave klystrons is shown. [ABSTRACT FROM AUTHOR]
Copyright of Radiophysics & Quantum Electronics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Particle+acceleration%22">Particle acceleration</searchLink><br /><searchLink fieldCode="DE" term="%22Electron+accelerators%22">Electron accelerators</searchLink><br /><searchLink fieldCode="DE" term="%22Electron+beams%22">Electron beams</searchLink><br /><searchLink fieldCode="DE" term="%22Millimeter+waves%22">Millimeter waves</searchLink><br /><searchLink fieldCode="DE" term="%22Cherenkov+radiation%22">Cherenkov radiation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink>
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  Data: We consider the possibility of accelerating electrons by subnanosecond pulses of short-wave millimeter- wavelength Čerenkov superradiance (SR) in accelerating cells (with a side-feeding perpendicular to the electron beam motion) using numerical simulation. Such systems are of greatest interest when electrons already have a large amount of energy. It was assumed that the electron energy at the input to the structure is 3 MeV, which can be supplied by forming the initial electron bunches based on photoinjector systems. The calculations were performed with allowance for the achieved parameters of 150 GHz SR pulses (peak power 80 MW and duration 180 ps), as well as considering the breakdown field values determined in previous accelerator experiments with about 38-GHz SR pulses. The possibility of achieving electron energies at a level of 5.0–5.5 MeV in compact systems with accelerator gradients significantly exceeding the values achieved with use of long-wave klystrons is shown. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Radiophysics & Quantum Electronics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jun2025
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