Deconvolution of multi-Boltzmann x-ray distribution from linear absorption spectrometer via analytical parameter reduction

0547897 - FZÚ 2022 RIV US eng J - Journal Article
Armstrong, C.D. - Neely, D. - Batheja, Deepak Kumar - McKenna, P. - Cray, R.J. - Pirozhkov, A.S.
Deconvolution of multi-Boltzmann x-ray distribution from linear absorption spectrometer via analytical parameter reduction.
Review of Scientific Instruments. Roč. 92, č. 11 (2021), č. článku 113102. ISSN 0034-6748. E-ISSN 1089-7623
R&D Projects: GA ČR GA18-09560S
Institutional support: RVO:68378271
Keywords : multi-Boltzmann x-ray distribution * linear absorption spectrometer
OECD category: Optics (including laser optics and quantum optics)
Impact factor: 1.843, year: 2021
Method of publishing: Open access

Accurate characterization of incident radiation is a fundamental challenge for diagnostic design. Herein, we present an efficient spectral anal ysis routine that is able to characterize multiple components within the spectral emission by analytically reducing the number of parameters. The technique is presented alongside the design of a hard x-ray linear absorption spectrometer using the example of multiple Boltzmann-like spectral distributions, however, it is generally applicable to all absorption based spectrometer designs and can be adapted to any incident spectral shape. This routine is demonstrated to be tolerable to experimental noise and suitable for real-time data processing at multi-Hz repetition rates.
Permanent Link: http://hdl.handle.net/11104/0324056