Fast and accurate diagnosis of electron temperature using a machine learning model trained with time-evolved plasma spectra

Key Points

• The central aim is to develop a machine learning model for the accurate diagnosis of electron temperature from plasma spectra.
• Developed a machine learning model
• Used time-evolved plasma spectra for training
• Generated training dataset via interpolation method
• Machine learning model shows high accuracy in predicting electron temperature
• Training dataset aligns well with experimentally measured data