Prediction of negative hydrogen ion density in permanent magnet-based helicon ion source (HELEN) using deep learning techniques

In the present work, a deep-learning model is developed for a permanent magnet-based helicon plasma source. Non-invasive cavity ring-down spectroscopy (CRDS) characterizes the HELEN ion source as a negative hydrogen ion source. This paper discusses different deep learning techniques for modelling th...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Shukla, Vipin, Mukhopadhyay, Debrup, Pandey, Arun, Bandyopadhyay, Mainak, Pandya, Vivek
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cavity ringdown Correlation analysis Deep learning Electron energy Gas pressure Hydrogen ions Ion density (concentration) Ion sources Magnetic fields Permanent magnets Plasma Plasma density
Online-Zugang:	Volltext
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