ANN-LIBS analysis of mixture plasmas: detection of xenon

Abstract

We developed an artificial neural network method for characterising crucial physical plasma parameters (i.e. temperature, electron density, and abundance ratios of ionisation states) in a fast and precise manner that...

Interpreting neural networks trained to predict plasma temperature from optical emission spectra

“…The synthetic spectra generation shown below draws upon the results of ANN-LIBS analysis, which is described in detail elsewhere. 34 The approach outlined therein is now taken in the opposite sense, i.e., instead of analyzing an unknown sample, we use the exact same formulae to hypothesize on a known specimen's spectra. As in the original study, python-numpy is used to build the simpler simulation.…”

“…FWHM 0 = 0.05 nm is an average thermal and instrumental function broadening parameter applied in our previous study. 34 Finally, a theoretical spectrum TðlÞ was drawn as a sum of I(n) Voigt line proles for the calculated I ij , g, and s. Such a result was likened to an experimental record by adding a quasi-experimental baseline b(l) level, evaluated by averaging real spectra of qualitatively similar solid-phase samples available in-house. 67 The baseline was acquired for the real detector's wavelength ranges and resolutions, and therefore, partially related to its efficiency factors.…”

“…Upon choosing 1 5000 as a scaling factor, the resultant signal-to-noise levels corresponded to the values recorded in. 34,67 As a nal result, the following synthetic spectra SðlÞ were passed into ANN analyses (See Fig. 1):…”

“…More recently, model-based approaches for successful plasma temperature prediction have also been demonstrated. 34 Namely, the use of articial neural networks has been extended from the well-established qualitative 35,36 and quantitative 37,38 analysis to plasma characterization.…”

Simulating asteroid impacts and meteor events by high-power lasers: from the laboratory to spaceborne missions

“…Lasers have multiple advantages for studying consequential chemistry of meteor plasma events: chemical contamination from an electrode material is excluded (Borucki et al, 1988;Sobral et al, 2000), gas volumes are small, the system is generally chemically clean, isolated and well-defined (Sobral et al, 2000), and they can be applied in the meso-to microscale on mineral surfaces to allow experimentation on single phases. The properties of laser induced dielectric breakdown are characterized by pulse duration, energy density, laser wavelength, photon fluency, the chemical nature of the irradiated material or gas density, and chemical composition of the surrounding atmosphere (McKay and Borucki, 1997;Villagrán-Muniz et al, 2003;Saeidfirozeh et al, 2022;Zakuskin et al, 2023). This creates a noticeable range of parameters which are adjustable on demand and based on the required properties suitable for the simulation of the selected phenomena.…”