CLEAN is a well-established deconvolution approach to Fourier imaging at radio wavelengths and hard X-ray energies. One of the main limitations of CLEAN for hard X-ray imaging is that it requires a final convolution step by means of a convolution kernel whose width is strongly user dependent, and moreover, under-resolution effects are often introduced. This paper describes a multiscale version of CLEAN that is specifically tailored to the reconstruction of images from measurements observed by the Spectrometer/Telescope for Imaging X-rays (STIX) on board Solar Orbiter. Using synthetic STIX data, this study shows that multiscale CLEAN might represent a reliable solution to the two CLEAN limitations described above. Further, we show the performances of CLEAN and its multiscale release in reconstructing experimental real scenarios characterized by complex emission morphologies.

CLEAN and multiscale CLEAN for STIX in Solar Orbiter

Miriana Catalano;Anna Volpara;Michele Piana;Anna Maria Massone
2026-01-01

Abstract

CLEAN is a well-established deconvolution approach to Fourier imaging at radio wavelengths and hard X-ray energies. One of the main limitations of CLEAN for hard X-ray imaging is that it requires a final convolution step by means of a convolution kernel whose width is strongly user dependent, and moreover, under-resolution effects are often introduced. This paper describes a multiscale version of CLEAN that is specifically tailored to the reconstruction of images from measurements observed by the Spectrometer/Telescope for Imaging X-rays (STIX) on board Solar Orbiter. Using synthetic STIX data, this study shows that multiscale CLEAN might represent a reliable solution to the two CLEAN limitations described above. Further, we show the performances of CLEAN and its multiscale release in reconstructing experimental real scenarios characterized by complex emission morphologies.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1320561
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