New and Improved Clean for RHESSI Images

Statistics – Methodology

Scientific paper

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Scientific paper

The current version of the Clean algorithm used to reconstruct RHESSI images has an excellent record of bringing out the x-ray image morphology that is confirmed by independent observations at other wavelengths. However, because it uses point-like sources to build up its component image the reliability of the source photometry is compromised. Also, it's methodology for stopping can result in false sources. We present here a revised Clean that uses the good features of Clean to identify the principal sources but where we also force the discrete source sizes and fluxes to better match the observed count rates.

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