An integrated data analysis (IDA) model based on Gaussian process regression (GPR) is proposed for plasma electron density profile tomography in the HL-3 tokamak. The model combines line-integral measurements from the far-infrared laser interferometer with point measurements obtained via the frequency-modulated continuous wave reflectometry. By employing GPR, the model effectively incorporates point measurements into 2D profile reconstructions, while coordinate mapping integrates magnetic equilibrium information. The average relative error of the reconstructed profile obtained by the IDA model with normalized magnetic flux is as low as . Additionally, we performed sensitivity tests on grid resolution, diagnostic data systematic errors and noise levels, and robustness validation across diverse magnetic configurations and density profiles. This comprehensive assessment provides a robust foundation for the real application to experimental data.
This paper presents an integrated data analysis model using Gaussian process regression to reconstruct 2D plasma electron density profiles in the HL-3 tokamak. The model combines line-integral and point measurements from diagnostics, and integrates magnetic equilibrium information for improved accuracy.