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Title
Japanese: 
English:Automated Continuum-Line Spectrum Decomposition for Optical Emission Spectroscopic Diagnostic of Atmospheric-Pressure Plasmas 
Author
Japanese: 菊地航行, 榎本純, 林珂任, 田口智也, 赤塚洋.  
English: Wataru Kikuchi, Jun Enomoto, Keren Lin, Tomoya Taguchi, Hiroshi Akatsuka.  
Language English 
Journal/Book name
Japanese: 
English:Bull. American Phys. Soc. 
Volume, Number, Page        
Published date Oct. 13, 2025 
Publisher
Japanese: 
English:Americal Physical Society 
Conference name
Japanese: 
English:The 78th Annual Gaseous Electronics Conference (GEC2025) 
Conference site
Japanese:ソウル 
English:Seoul 
Official URL https://schedule.aps.org/gec/2025/events/DT4/36
 
Abstract Optical emission spectroscopy (OES) is a diagnostic for atmospheric-pressure plasmas (APPs), yet its accuracy depends on separating continuum spectra from overlapping line radiation, still done largely by hand. We assessed four automatic algorithms on measured and synthetic APP spectra: two generic signal-processing tools, Hilbert-transform envelope tracing and robust regression with RANSAC, and two plasma-specific routines, tangent-line linkage between successive peaks and recursive interpolation through local minima. The Hilbert method fails to track the slowly varying baseline, and RANSAC helps only when the continuum follows a simple analytic shape. On the other hand, both dedicated routines recover the baseline across the 250-900 nm range and remain robust under realistic noise; the tangent-line scheme yields the most faithful envelope especially when noise levels low enough, while the minima-interpolation variant is faster and highly resistant to noise. Parameter scans with noise-augmented synthetic spectra give practical windows, smoothing levels, orders of local minima and recursion depths. The validated workflow provides consistent continuum-line decomposition, improving subsequent retrieval of electron density and electron energy distribution from OES.

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