STIX solar flare image reconstruction and classification using machine learning

<p>The Spectrometer Telescope for Imaging X-rays (STIX) is an instrument onboard Solar Orbiter.&#160;It measures X-rays emitted during solar flares in the energy range from 4 to 150 keV and takes X-ray images by using an indirect imaging technique, based on the Moir&#233; effect. STIX instrument<br>consists of 32 pairs of tungsten grids and 32 pixelated CdTe detector units. Flare Images can be reconstructed on the ground using algorithms such as back-projection, forward-fit, and maximum-entropy after full pixel data are downloaded. Here we report a new image reconstruction and<br>classification model based on machine learning. Results will be discussed and compared with those from the traditional algorithms.</p>