A Fast Stokes Profile Synthesis

Statistics – Computation

Scientific paper

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Scientific paper

The disk integration process in Doppler imaging and Zeeman-Doppler imaging requires excessive calculations of local Stokes profiles and thus has high computational demands. We present a novel approximation method for the polarized radiative transfer calculation, base on a Principal Component Analysis and Artificial Neural Networks. A set of local line profiles is decomposed into their respective eigenspectra and Artificial Neural Networks are trained, to approximate the non-linear mapping between atmospheric parameters and principal components. In test calculations we demonstrate the reliability and precision of this fast radiative transfer approximation method.

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