Non-invasive low charge electron beam time-of-arrival diagnostic using a plasmonics-enhanced photoconductive antenna
Abstract
The use of a plasmonics-enhanced photoconductive antenna (PCA) optically gated by a near infrared (NIR) pulse enables non-invasive time-of-arrival measurements of a low charge electron beam with respect to the NIR reference, achieving picosecond resolution. The measured signal values show the expected scaling with the beam charge and distance from PCA to the beam axis, as the PCA samples the electric field of the passing electron beam. We operate the device with an NIR spot size much larger than the PCA active-area, resulting in a very simple optical setup and alignment procedure, making the plasmonics-enhanced PCA a preferred alternative to more complex timing diagnostics for applications requiring non-invasive picosecond or sub-picosecond timestamping.
- Authors:
-
- Univ. of California, Los Angeles, CA (United States). Dept. of Physics and Astronomy
- Univ. of California, Los Angeles, CA (United States). Dept. of Electrical and Computer Engineering
- RadiaBeam Technologies, Santa Monica, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
- RadiaBeam Technologies, Santa Monica, CA (United States)
- Publication Date:
- Research Org.:
- SLAC National Accelerator Lab., Menlo Park, CA (United States); Univ. of California, Los Angeles, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF)
- OSTI Identifier:
- 1490453
- Grant/Contract Number:
- AC02-76SF00515; SC0009914; PHY-1734215
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Physics Letters
- Additional Journal Information:
- Journal Volume: 113; Journal Issue: 19; Journal ID: ISSN 0003-6951
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 43 PARTICLE ACCELERATORS; terahertz radiation; antennas; particle accelerators; semiconductors; plasmonics; photoconductive materials; electron beams
Citation Formats
Snively, E. C., Yardimci, N. T., Jacobson, B. T., Jarrahi, M., Musumeci, P., and Murokh, A. Non-invasive low charge electron beam time-of-arrival diagnostic using a plasmonics-enhanced photoconductive antenna. United States: N. p., 2018.
Web. doi:10.1063/1.5052631.
Snively, E. C., Yardimci, N. T., Jacobson, B. T., Jarrahi, M., Musumeci, P., & Murokh, A. Non-invasive low charge electron beam time-of-arrival diagnostic using a plasmonics-enhanced photoconductive antenna. United States. https://doi.org/10.1063/1.5052631
Snively, E. C., Yardimci, N. T., Jacobson, B. T., Jarrahi, M., Musumeci, P., and Murokh, A. Mon .
"Non-invasive low charge electron beam time-of-arrival diagnostic using a plasmonics-enhanced photoconductive antenna". United States. https://doi.org/10.1063/1.5052631. https://www.osti.gov/servlets/purl/1490453.
@article{osti_1490453,
title = {Non-invasive low charge electron beam time-of-arrival diagnostic using a plasmonics-enhanced photoconductive antenna},
author = {Snively, E. C. and Yardimci, N. T. and Jacobson, B. T. and Jarrahi, M. and Musumeci, P. and Murokh, A.},
abstractNote = {The use of a plasmonics-enhanced photoconductive antenna (PCA) optically gated by a near infrared (NIR) pulse enables non-invasive time-of-arrival measurements of a low charge electron beam with respect to the NIR reference, achieving picosecond resolution. The measured signal values show the expected scaling with the beam charge and distance from PCA to the beam axis, as the PCA samples the electric field of the passing electron beam. We operate the device with an NIR spot size much larger than the PCA active-area, resulting in a very simple optical setup and alignment procedure, making the plasmonics-enhanced PCA a preferred alternative to more complex timing diagnostics for applications requiring non-invasive picosecond or sub-picosecond timestamping.},
doi = {10.1063/1.5052631},
journal = {Applied Physics Letters},
number = 19,
volume = 113,
place = {United States},
year = {Mon Nov 05 00:00:00 EST 2018},
month = {Mon Nov 05 00:00:00 EST 2018}
}
Web of Science
Figures / Tables:
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