Strategies for Spectral Profile Inversion Using Artificial Neural Networks
This paper explores three different strategies for the inversion of spectral lines (and their Stokes profiles) using artificial neural networks. It is shown that a straightforward approach in which the network is trained with synthetic spectra from a simplified model leads to considerable errors in the inversion of real observations. This problem
Socas-Navarro, H.
Fecha de publicación:
3
2005