In a new study of multi-wavelength data classification, the researchers from NAOC and Peking University have constructed samples with information from X-ray, optical and/or infrared bands. With machine learning methods, they built optimal classifiers suitable for samples in different bands, providing classification predictions and probabilities for 4XMM-DR9 of the X-ray Multi-Mirror Mission. The results have been published in Monthly Notices of the Royal Astronomical Society.

Based on the light-curve data of Kepler, a research team led by Prof. HE Han at NAOC has revealed the characteristic time of stellar flares on Sun-like stars. This study opens up an innovative approach for analyzing the characteristic time of stellar flares. The result obtained in this work can act as an important input element for analyzing the impact of stellar flares to the atmosphere, space environment, and habitability of exoplanets. The study was published in MNRAS: Letters on June12.