LIISim: a modular signal processing toolbox for laser-induced incandescence measurements

• Published in: Applied physics. B, Lasers and optics Vol. 124; no. 4; pp. 1 - 20
• Main Authors: Mansmann, Raphael, Terheiden, Tobias, Schmidt, Philip, Menser, Jan, Dreier, Thomas, Endres, Torsten, Schulz, Christof
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-04-2018; Springer Nature B.V
• Subjects: Algorithms; Applied physics; Data analysis; Engineering; Heat exchange; Heat transfer; Laser induced incandescence; Lasers; Optical Devices; Optics; Photonics; Physical Chemistry; Physics; Physics and Astronomy; Quantum Optics; Signal processing; Software; Software development tools; Soot; Source code; Spectroscopy; Spectrum analysis; Visualization
• ISSN: 0946-2171; 1432-0649
• DOI: 10.1007/s00340-018-6934-9

Evaluation of measurement data for laser-induced incandescence (LII) is a complex process, which involves many processing steps starting with import of data in various formats from the oscilloscope, signal processing for converting the raw signals to calibrated signals, application of models for spectroscopy/heat transfer and finally visualization, comparison, and extraction of data. We developed a software tool for the LII community that helps to evaluate, exchange, and compare measurement data among research groups and facilitate the application of this technique by providing powerful tools for signal processing, data analysis, and visualization of experimental results. A common file format for experimental data and settings simplifies inter-laboratory comparisons. It can be further used to establish a public measurement database for standardized flames or other soot/synthetic nanoparticle sources. The open-source concept and public access to the software development should encourage other scientists to validate and further improve the implemented algorithms and thus contribute to the project. In this paper, we present the structure of the LIISim software including the materials database concept, signal-processing algorithms, and the implemented models for spectroscopy and heat transfer. With two application cases, we show the operation of the software how data can be analyzed and evaluated.