M. Kastek

ORCID: 0009-0002-5918-4652
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About
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Research Areas
  • Laser-induced spectroscopy and plasma
  • Ion-surface interactions and analysis
  • Cultural Heritage Materials Analysis
  • Nuclear Physics and Applications

Institute of Plasma Physics and Laser Microfusion
2022-2024

Following the successful demonstration of machine learning (ML) models for laser induced breakdown spectroscopy (LIBS) adaptation in fusion reactor fuel retention monitoring using synthetic data [Gąsior et al., Spectrochim. Acta, Part B 199, 106576 (2023)], this study focuses on implementing operability experimental data. To achieve this, Simulated Eperimental Spectra (SES) are generated and used validation a chemical composition estimation model trained dimensionally reduced spectral...

10.1063/5.0205572 article EN cc-by Physics of Plasmas 2024-05-01

Retention of hydrogen isotopes in thermonuclear reactors is a safety and maintenance issue, thus requires contactless measurement method its level. Although calibration free LIBS proved usefulness on calibrated samples even tokamaks, performance may be deteriorated next-step fusion devices because sensitivity the plasma parameters as electron temperature density which are more challenging to precisely measured than laboratory conditions. Moreover, both Beryllium Tungsten have spectral lines...

10.1016/j.sab.2022.106576 article EN cc-by-nc-nd Spectrochimica Acta Part B Atomic Spectroscopy 2022-11-21
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