Maximum Entropy Limit of Small-scale Magnetic Field Fluctuations in the Quiet Sun
A. Y. Gorobets, S.V. Berdyugina, T. L. Riethm\"uller, J. Blanco, Rodr\'iguez, S. K. Solanki, P. Barthol, A. Gandorfer, L. Gizon, J., Hirzberger, M. van Noort, J.C. Del Toro Iniesta, D. Orozco Su\'arez, W., Schmidt, V. Mart\'inez Pillet, M. Kn\"olker

TL;DR
This study models small-scale magnetic field fluctuations in the quiet Sun as a maximum entropy Markov process, revealing how data resolution and polarity mixing influence the convergence to equilibrium.
Contribution
It introduces a novel data analysis method that quantifies magnetic field fluctuations without subjective feature identification, using a maximum entropy Markov process approach.
Findings
Different convergence rates depend on data resolution and polarity fluctuations.
Magnetic field fluctuations can be modeled as a stationary Markov process.
The method provides an objective way to analyze solar magnetic field dynamics.
Abstract
The observed magnetic field on the solar surface is characterized by a very complex spatial and temporal behavior. Although feature-tracking algorithms have allowed us to deepen our understanding of this behavior, subjectivity plays an important role in the identification and tracking of such features. In this paper, we continue studies Gorobets, A. Y., Borrero, J. M., & Berdyugina, S. 2016, ApJL, 825, L18 of the temporal stochasticity of the magnetic field on the solar surface without relying either on the concept of magnetic features or on subjective assumptions about their identification and interaction. We propose a data analysis method to quantify fluctuations of the line-of-sight magnetic field by means of reducing the temporal field's evolution to the regular Markov process. We build a representative model of fluctuations converging to the unique stationary (equilibrium)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
