A Statistical Inference Method for Interpreting the CLASP Observations
J. Stepan, J. Trujillo Bueno, L. Belluzzi, A. Asensio Ramos, R. Manso, Sainz, T. del Pino Aleman, R. Casini, R. Kano, A. Winebarger, F. Auchere, R., Ishikawa, N. Narukage, K. Kobayashi, T. Bando, Y. Katsukawa, M. Kubo, S., Ishikawa, G. Giono, H. Hara, Y. Suematsu, T. Shimizu
TL;DR
This paper introduces a statistical inference method to interpret CLASP's solar Lyman-alpha polarization data, revealing insights into the chromosphere-corona transition region's magnetic fields and structure.
Contribution
It presents a novel statistical approach for analyzing Lyman-alpha polarization measurements, enhancing understanding of solar magnetic fields and atmospheric structure.
Findings
Effective interpretation of CLASP polarization data
Insights into magnetic field strength and orientation
Understanding of the transition region's 3D structure
Abstract
On 3rd September 2015, the Chromospheric Lyman-Alpha SpectroPolarimeter (CLASP) successfully measured the linear polarization produced by scattering processes in the hydrogen Lyman- line of the solar disk radiation, revealing conspicuous spatial variations in the and signals. Via the Hanle effect the line-center and amplitudes encode information on the magnetic field of the chromosphere-corona transition region (TR), 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 Lyman- line-center polarization observed by CLASP.
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