Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX
Emma Perracchione, Paolo Massa, Anna Maria Massone, Michele Piana

TL;DR
This paper introduces a novel visibility interpolation method using Variably Scaled Kernels for improved solar hard X-ray image reconstruction from Fourier domain data, demonstrating superior performance on RHESSI and STIX observations.
Contribution
The study presents the first application of Variably Scaled Kernels for visibility interpolation in solar X-ray imaging, enhancing image reconstruction accuracy especially with sparse Fourier data.
Findings
VSK-based interpolation outperforms previous methods for RHESSI data.
Significant improvements in STIX imaging due to sparse Fourier sampling.
Reliable reconstruction of narrow, ribbon-like flaring sources.
Abstract
Space telescopes for solar hard X-ray imaging provide observations made of sampled Fourier components of the incoming photon flux. The aim of this study is to design an image reconstruction method relying on enhanced visibility interpolation in the Fourier domain. % methods heading (mandatory) The interpolation-based method is applied on synthetic visibilities generated by means of the simulation software implemented within the framework of the Spectrometer/Telescope for Imaging X-rays (STIX) mission on board Solar Orbiter. An application to experimental visibilities observed by the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) is also considered. In order to interpolate these visibility data we have utilized an approach based on Variably Scaled Kernels (VSKs), which are able to realize feature augmentation by exploiting prior information on the flaring source and which…
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