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Generation of terahertz pulses by photoionization of electrically biased air
Abstract
We present an experimental demonstration of the generation of far-infrared (terahertz) pulses by photoionization of electrically biased air with amplified laser pulses. The current surge following photoionization of the air with an applied bias field of 10.6 kV/cm leads to the emission of THz pulses with an intensity which can be almost as high as that of THz pulses radiated from a large-area intrinsic-field GaAs emitter. The spectra peak at higher frequency than those of biased large-area GaAs emitters.
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Citations
Cited by
Terahertz spectroscopy and imaging - Modern techniques and applications
Jepsen, P. U., Cooke, D. G., & Koch, M. (2011) · Laser & Photonics Reviews · doi:10.1002/lpor.201000011 · Cited by 2,091
Matter manipulation with extreme terahertz light: Progress in the enabling THz technology
Salén, P., Basini, M., Bonetti, S., Hebling, J., Krasilnikov, M., Nikitin, A. Y., Shamuilov, G., Tibai, Z., Zhaunerchyk, V., & Goryashko, V. (2019) · Physics Reports · doi:10.1016/j.physrep.2019.09.002 · Cited by 262
Metadata
- Authors
- Löffler, T., Jacob, F., & Roskos, H. G.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2000-07-17
- Volume
- 77
- Issue
- 3
- Pages
- 453-455
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W1971543411
- Cited by
- 214
- References
- 0
- FWCI
- 5.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Generation of terahertz pulses by photoionization of electrically biased air. https://app.cochat.ai/papers/10.1063/1.127007
- The paper
- Löffler, T., Jacob, F., & Roskos, H. G. (2000). Generation of terahertz pulses by photoionization of electrically biased air. Applied Physics Letters. https://doi.org/10.1063/1.127007
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
