Projects per year
Abstract
The ultrafast charge dynamics following the interaction of an ultra-intense laser pulse with a foil target leads to the launch of an ultra-short, intense electromagnetic (EM) pulse along a wire connected to the target. Due to the strong electric field (of the order of textbackslashtextGV mtextasciicircum-1) associated to such laser-driven EM pulses, these can be exploited in a travelling-wave helical geometry for controlling and optimizing the parameters of laser accelerated proton beams. The propagation of the EM pulse along a helical path was studied by employing a proton probing technique. The pulse-carrying coil was probed along two orthogonal directions, transverse and parallel to the coil axis. The temporal profile of the pulse obtained from the transverse probing of the coil is in agreement with the previous measurements obtained in a planar geometry. The data obtained from the longitudinal probing of the coil shows a clear evidence of an energy dependent reduction of the proton beam divergence, which underpins the mechanism behind selective guiding of laser-driven ions by the helical coil targets.
Original language | English |
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Article number | e4 |
Number of pages | 5 |
Journal | High Power Laser Science and Engineering |
Volume | 5 |
Early online date | 13 Feb 2017 |
DOIs | |
Publication status | Published - 2017 |
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Dive into the research topics of 'Proton probing of laser-driven EM pulses travelling in helical coils'. Together they form a unique fingerprint.Projects
- 2 Finished
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R1323CPP: Novel Techniques for control & Optimisation of Laser driven ion beams
Kar, S. (PI)
01/08/2012 → 30/06/2015
Project: Research
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R1404CPP: Next Generation Laser Driven Neutron Sources for Ultra Fast Studies
Kar, S. (PI)
01/08/2011 → 31/12/2016
Project: Research
Datasets
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Proton probing of laser-driven EM pulses travelling in helical coils
Ahmed, H. (Contributor), Kar, S. (Creator), Giesecke, A. L. (Contributor), Doria, D. (Contributor), Nersisyan, G. (Contributor), Willi, O. (Contributor), Lewis, C. (Contributor) & Borghesi, M. (Contributor), Queen's University Belfast, 01 Jan 2017
DOI: 10.17034/7ae254da-f94b-4c85-a07b-02efba38030a
Dataset
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