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A Statistical Inference Method for Interpreting the CLASP Observations

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Manso Sainz,  R.
Department Sun and Heliosphere, Max Planck Institute for Solar System Research, Max Planck Society;

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Citation

Štěpán, J., Trujillo Bueno, J., Belluzzi, L., Asensio Ramos, A., Manso Sainz, R., del Pino Alemán, T., et al. (2018). A Statistical Inference Method for Interpreting the CLASP Observations. The Astrophysical Journal, 865(1): 48. doi:10.3847/1538-4357/aad910.


Cite as: http://hdl.handle.net/21.11116/0000-0003-B6DF-5
Abstract
On 2015 September 3, the Chromospheric Lyman-Alpha SpectroPolarimeter (CLASP) successfully measured the linear polarization produced by scattering processes in the hydrogen Lyα line of the solar disk radiation, revealing conspicuous spatial variations in the Q/I and U/I signals. Via the Hanle effect, the line-center Q/I and U/I amplitudes encode information on the magnetic field of the chromosphere–corona transition region, but they are also sensitive to the three-dimensional structure of this corrugated interface region. With the help of a simple line-formation model, here we propose a statistical inference method for interpreting the Lyα line-center polarization observed by CLASP.