Bibliographic Details
| Title: |
Plasma devices to guide and collimate a high density of MeV electrons. |
| Authors: |
Kodama, R., Sentoku, Y., Chen, Z. L., Kumar, G. R., Hatchett, S. P., Toyama, Y., Cowan, T. E., Freeman, R. R, Fuchs, J., Izawa, Y., Key, M. H., Kitagawa, Y., Kondo, K., Matsuoka, T., Nakamura, H., Nakatsutsumi, M., Norreys, P. A., Norimatsu, T., Snavely, R. A., Stephens, R. B. |
| Source: |
Nature. 12/23/2004, Vol. 432 Issue 7020, p1005-1008. 4p. |
| Subjects: |
Particles (Nuclear physics), Plasma devices, Plasma engineering, Electrons, Nonlinear optics, Optoelectronic devices, Optical waveguides |
| Abstract: |
The development of ultra-intense lasers has facilitated new studies in laboratory astrophysics and high-density nuclear science, including laser fusion. Such research relies on the efficient generation of enormous numbers of high-energy charged particles. For example, laser-matter interactions at petawatt (1015?W) power levels can create pulses of MeV electrons with current densities as large as 1012?A?cm-2. However, the divergence of these particle beams usually reduces the current density to a few times 106?A?cm-2 at distances of the order of centimetres from the source. The invention of devices that can direct such intense, pulsed energetic beams will revolutionize their applications. Here we report high-conductivity devices consisting of transient plasmas that increase the energy density of MeV electrons generated in laser-matter interactions by more than one order of magnitude. A plasma fibre created on a hollow-cone target guides and collimates electrons in a manner akin to the control of light by an optical fibre and collimator. Such plasma devices hold promise for applications using high energy-density particles and should trigger growth in charged particle optics. [ABSTRACT FROM AUTHOR] |
|
Copyright of Nature 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.) |
| Database: |
Psychology and Behavioral Sciences Collection |