AI RESEARCH
Nonlinear Bayesian Doppler Tomography for Simultaneous Reconstruction of Flow and Temperature
arXiv CS.LG
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ArXi:2410.12424v2 Announce Type: replace-cross We present a nonlinear Bayesian tomographic framework for Doppler spectral imaging that enables simultaneous reconstruction of emissivity, ion temperature, and flow velocity from line-integrated spectra. The method employs nonlinear Gaussian process tomography (GPT) with a Laplace approximation while retaining the full Doppler forward model.