EGU22-5498, updated on 27 Mar 2022
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Simulating the FIP effect in coronal loops using a multi-species kinetic-fluid model.

Nicolas Poirier1, Michael Lavarra1, Alexis Rouillard1, Pierre-Louis Blelly1, Victor Réville1, Andrea Verdini2, Marco Velli3, Eric Buchlin4, and Mikel Indurain1
Nicolas Poirier et al.
  • 1IRAP, CNRS, CNES, Université Toulouse III - Paul Sabatier, 31400 Toulouse, France
  • 2Dipartimento di Fisica e Astronomia, Universitá di Firenze, 50019 Firenze, Italy
  • 3Earth Planetary and Space Sciences, UCLA, Los Angeles, USA
  • 4Institut d’Astrophysique Spatiale, CNRS, Université Paris-Saclay, 91405 Orsay, France

We investigate abundance variations of heavy ions in coronal loops. We develop and exploit a multi-species model of the solar atmosphere (called IRAP’s Solar Atmospheric Model: ISAM) that solves for the transport of neutral and charged particles from the chromosphere to the corona. We investigate the effect of different mechanisms that could produce the First Ionization Potential (FIP) effect. We compare the effects of the thermal, friction and ponderomotive force. The propagation, reflection and dissipation of Alfvén waves is solved using two distinct models, the first one from Chandran et al. (2011) and the second one that is a more sophisticated turbulence model called Shell-ATM. ISAM solves a set of 16-moment transport equations for both neutrals and charged particles. Protons and electrons are heated by Alfvén waves, which then heat up the heavy ions via collision processes. We show comparisons of our results with other models and observations, with an emphasis on FIP biases. This work was funded by the European Research Council through the project SLOW_SOURCE - DLV-819189.

How to cite: Poirier, N., Lavarra, M., Rouillard, A., Blelly, P.-L., Réville, V., Verdini, A., Velli, M., Buchlin, E., and Indurain, M.: Simulating the FIP effect in coronal loops using a multi-species kinetic-fluid model., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5498,, 2022.


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