Unbiased CLEAN for STIX in Solar Orbiter
Emma Perracchione, Fabiana Camattari, Anna Volpara, Paolo Massa, Anna, Maria Massone, Michele Piana

TL;DR
This paper introduces an unbiased, fully automated version of the CLEAN algorithm for solar X-ray imaging with STIX, improving reliability and accuracy by removing user-dependent steps through interpolation/extrapolation techniques.
Contribution
The paper presents a novel, user-independent implementation of CLEAN for STIX, enhancing automation and reducing bias in solar X-ray image reconstruction.
Findings
Unbiased CLEAN outperforms standard CLEAN in automation and reliability.
Reconstruction accuracy is comparable to other STIX imaging methods.
First application of interpolation/extrapolation in STIX image reconstruction.
Abstract
Aims: To formulate, implement, and validate a user-independent release of CLEAN for Fourier-based image reconstruction of hard X-rays flaring sources. Methods: CLEAN is an iterative deconvolution method for radio and hard X-ray solar imaging. In a specific step of its pipeline, CLEAN requires the convolution between an idealized version of the instrumental Point Spread Function (PSF), and a map collecting point sources located at positions on the solar disk from where most of the flaring radiation is emitted. This convolution step has highly heuristic motivations and the shape of the idealized PSF, which depends on the user's choice, impacts the shape of the overall reconstruction. Here we propose the use of an interpolation/extrapolation process to avoid this user-dependent step, and to realize a completely unbiased version of CLEAN. Results: Applications to observations recorded by…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Solar Radiation and Photovoltaics · Photovoltaic System Optimization Techniques
