Ultra-Compact X-ray Spectrometer (UCXS) for high repetition rate laser plasma experiments
ORAL
Abstract
We present in this work the development of an ultra-compact multi-channel x-ray spectrometer (UCXS). This diagnostic has been especially built and adapted to perform at high repetition rate (>1 Hz) for high-intensity, short-pulse laser plasma experiments. X-ray filters of varying materials and thicknesses are specifically chosen to provide high spectral resolution (up to ΔE≈1keV) over the x-ray range of 1 keV to 25 keV via k-edge matching. These filters are distributed over a total of 10 channels, where each x-ray filter is coupled to a single scintillator to avoid optical bleeding between channels. These fast scintillators [2] (few ns decay), allow for both high efficiency fluorescence, and high throughput for high rep rate operations. The UCXS is designed to detect and resolve a large variety of laser driven x-ray sources such as low energy bremsstrahlung emission, fluorescence emission and betatron radiation (up to 25keV).
Another advantage of the UCXS is a structure of optical fibres which transport the converted light out of the vacuum target chamber to a remote imaging detection station. This, as well as supple shielding, make the spectrometer flexible in terms of experimental layouts while being both reliable and robust against strong electro magnetic pulses (EMP) issues generated in these harsh laser plasma environments.
Preliminary results from commissioning experiments at the ALEPH laser facility at Colorado State University will be shown.
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Presenters
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Ghassan Zeraouli
Colorado State University
Authors
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Ghassan Zeraouli
Colorado State University
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Derek Mariscal
Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory
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Elizabeth S Grace
Georgia Institute of Technology
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Graeme G Scott
Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab
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Kelly Swanson
Lawrence Livermore National Laboratory
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Raspberry A Simpson
Massachusetts Institute of Technology MI, Massachusetts Institute of Technology
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Blagoje Z Djordjevic
Lawrence Livermore National Lab, Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab
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Ryan Nedbailo
Colorado State University, Electrical and Computer Engineering Department, Colorado State University, Fort Collins, CO 80521 USA
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Huanyu Song
Colorado State University, Electrical and Computer Engineering Department, Colorado State University, Fort Collins, CO 80521 USA
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John Morrison
Colorado State University
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Jaebum Park
Colorado State University
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Reed C Hollinger
Colorado State University, Electrical and Computer Engineering Department, Colorado State University, Fort Collins, CO 80521 USA
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Shoujun Wang
Colorado State University
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Jorge J Rocca
Colorado State University, Electrical and Computer Engineering Department, Colorado State University, Fort Collins, CO 80521 USA
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Tammy Ma
Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory