Forward-fitting STIX visibilities
Anna Volpara, Paolo Massa, Emma Perracchione, Andrea Francesco, Battaglia, Sara Garbarino, Federico Benvenuto, Anna Maria Massone, Sam, Krucker, Michele Piana

TL;DR
This paper introduces a Particle Swarm Optimization algorithm for forward fitting STIX visibilities, demonstrating its robustness and reliability over traditional methods, especially for the challenging data from the Solar Orbiter's X-ray telescope.
Contribution
The paper presents a novel PSO-based optimization method for STIX visibility fitting, outperforming standard simplex algorithms in robustness and reliability.
Findings
PSO is as reliable as simplex for RHESSI visibilities.
PSO is significantly more robust for STIX simulated and experimental visibilities.
Standard deterministic methods are insufficient for STIX data fitting.
Abstract
Aima. To determine to what extent the problem of forward fitting visibilities measured by the Spectrometer/Telescope Imaging X-rays (STIX) on-board Solar Orbiter is more challenging with respect to the same problem in the case of previous hard X-ray solar imaging missions; to identify an effective optimization scheme for parametric imaging for STIX. Methods. This paper introduces a Particle Swarm Optimization (PSO) algorithm for forward fitting STIX visibilities and compares its effectiveness with respect to the standard simplex-based optimization algorithm used so far for the analysis of visibilities measured by the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI). This comparison is made by considering experimental visibilities measured by both RHESSI and STIX, and synthetic visibilities generated by accounting for the STIX signal formation model. Results. We found out…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Solar Radiation and Photovoltaics · solar cell performance optimization
