Projects per year
Abstract
Ongoing developments in laser-driven ion acceleration warrant appropriate modifications to the standard Thomson Parabola Spectrometer (TPS) arrangement in order to match the diagnostic requirements associated to the particular and distinctive properties of laser-accelerated beams. Here we present an overview of recent developments by our group of the TPS diagnostic aimed to enhance the capability of diagnosing multi-species high-energy ion beams. In order to facilitate discrimination between ions with same Z / A , a recursive differential filtering technique was implemented at the TPS detector in order to allow only one of the overlapping ion species to reach the detector, across the entire energy range detectable by the TPS. In order to mitigate the issue of overlapping ion traces towards the higher energy part of the spectrum, an extended, trapezoidal electric plates design was envisaged, followed by its experimental demonstration. The design allows achieving high energy-resolution at high energies without sacrificing the lower energy part of the spectrum. Finally, a novel multi-pinhole TPS design is discussed, that would allow angularly resolved, complete spectral characterization of the high-energy, multi-species ion beams.
Original language | Undefined/Unknown |
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Article number | C10005 |
Journal | Journal of Instrumentation |
Volume | 11 |
DOIs | |
Publication status | Published - 13 Oct 2016 |
Projects
- 3 Finished
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R1304CPP: Advanced laser-ion acceleration strategies towards next generation healthcare
Borghesi, M. (PI), Kar, S. (CoI), Prise, K. (CoI) & Zepf, M. (CoI)
01/08/2012 → 20/01/2020
Project: Research
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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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Recent developments in the Thomson Parabola Spectrometer diagnostic for laser-driven multi-species ion sources
Alejo, A. (Contributor), Gwynne, D. (Contributor), Doria, D. (Contributor), Ahmed, H. (Contributor), Carroll, D. C. (Contributor), Clarke, R. J. (Contributor), Neely, D. (Contributor), Scott, G. (Contributor), Borghesi, M. (Contributor) & Kar, S. (Creator), Queen's University Belfast, 2016
DOI: 10.17034/a94f295a-07ea-4daf-9b76-a83049a6c80a
Dataset
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