Issue |
A&A
Volume 656, December 2021
Solar Orbiter First Results (Cruise Phase)
|
|
---|---|---|
Article Number | A25 | |
Number of page(s) | 9 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202140946 | |
Published online | 14 December 2021 |
Imaging from STIX visibility amplitudes
1
MIDA, Dipartimento di Matematica, Università degli Studi di Genova, Via Dodecaneso 35, 16146 Genova, Italy
e-mail: piana@dima.unige.it
2
CNR-SPIN, Via Dodecaneso 33, 16146 Genova, Italy
3
Space Sciences Laboratory, University of California, 7 Gauss Way, 94720 Berkeley, USA
4
University of Applied Sciences and Arts Northwestern Switzerland, Bahnhofstrasse 6, 5210 Windisch, Switzerland
5
Swiss Federal Institute of Technology in Zurich (ETHZ), Rämistrasse 101, 8039 Zurich, Switzerland
Received:
31
March
2021
Accepted:
9
August
2021
Aims. This study is aimed at providing the first demonstration of STIX Fourier-transform X-ray imaging using semi-calibrated (amplitude-only) visibility data acquired during Solar Orbiter’s cruise phase.
Methods. We used a parametric imaging approach whereby STIX visibility amplitudes are fitted by means of two non-linear optimization methods: a fast meta-heuristic technique inspired by social behavior and a Bayesian Monte Carlo sampling method that, although slower, provides a better way of quantifying the uncertainties.
Results. When applied to a set of solar flare visibility amplitudes recorded by STIX on November 18, 2020, the two parametric methods provide very coherent results. The analysis also demonstrates the ability of STIX to reconstruct data at a high time resolution and, from a spectral viewpoint, it shows the reliability of a double-source scenario that is consistent with a thermal versus nonthermal interpretation.
Conclusions. In this preliminary analysis of STIX imaging based only on visibility amplitudes, we formulate the imaging problem as a non-linear parametric issue addressed by means of two high-performance optimization techniques that both show the ability to sample the parametric space in an effective fashion, thus avoiding any local minima.
Key words: Sun: flares / techniques: image processing / methods: data analysis
© ESO 2021
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