Dataset for "Helicity proxies from linear polarisation of solar active regions"

Kuvaus

The α effect is believed to play a key role in the generation of the solar magnetic field. A fundamental test for its significance in the solar dynamo is to look for magnetic helicity of opposite signs in the two hemispheres, and at small and large scales. However, measuring magnetic helicity is compromised by the inability to fully infer the magnetic field vector from observations of solar spectra, caused by what is known as the π ambiguity of spectropolarimetric observations. We decompose linear polarisation into parity-even and parity-odd E and B polarisations, which are not affected by the π ambiguity. Furthermore, we study whether the correlations of spatial Fourier spectra of B and parity-even quantities such as E or temperature T are a robust proxy for magnetic helicity of solar magnetic fields. We analyse polarisation measurements of active regions observed by the Helioseismic and Magnetic Imager on board the Solar Dynamics observatory. Theory predicts the magnetic helicity of active regions to have, statistically, opposite signs in the two hemispheres. We then compute the parity-odd EB and TB correlations, and test for systematic preference of their sign based on the hemisphere of the active regions. We find that: (i) EB and TB correlations are a reliable proxy for magnetic helicity, when computed from linear polarisation measurements away from spectral line cores, and (ii) E polarisation reverses its sign close to the line core. Our analysis reveals Faraday rotation to not have a significant influence on the computed parity-odd correlations. The EB decomposition of linear polarisation appears to be a good proxy for magnetic helicity independent of the π ambiguity. This allows us to routinely infer magnetic helicity directly from polarisation measurements. The full article can be found at https://arxiv.org/abs/2001.10884 License (for files): Creative Commons Attribution 4.0 International
Näytä enemmän

Julkaisuvuosi

2020

Aineiston tyyppi

Tekijät

Department of Computer Science

Ameya Prabhu - Tekijä

Andi Korpi-Lagg Orcid -palvelun logo - Tekijä

Axel Brandenburg - Tekijä

Maarit Käpylä Orcid -palvelun logo - Tekijä

KTH Royal Institute of Technology - Muu tekijä

Max Planck Inst Solar Syst Res, Max Planck Society - Muu tekijä

Zenodo - Julkaisija

Projekti

Muut tiedot

Tieteenalat

Tietojenkäsittely ja informaatiotieteet

Kieli

Saatavuus

Avoin

Lisenssi

Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)

Avainsanat

Asiasanat

Ajallinen kattavuus

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