PROGRAM: P-7

Title:

Abstract:

The Dark Matter Particle Explorer and the Hard X-ray Modulation Telescope, supported by the Chinese Academy of Sciences (CAS) Strategic Priority Program (SPP) on Space Science, are currently working in orbit, sending back intense scientific data. Much more space science satellite missions, e.g., the Einstein Probe, Advanced Space-based Solar Observatory, Space Variable Object Monitors, etc., that are fully or partially supported by CAS in the next 5 years, will be expected to produce more abundant science data. Chinese Space Science Data Center (CSSDC) provides application support services of data for these scientific satellite missions, building disciplinary database, data processing toolset and cloud computing platform. The experiences from the project construction and the data management enable us to foresee that the massive heterogeneous data produced by these space science missions will pose a great challenge to the scientific data analysis. In this context, the data scientists in CSSDC start to search for cooperation with astrophysicists and establish a new branch of CSSDC – scientific data mining for space science, devoted to apply the advanced data mining methods to the space science researches. We have carried out some preliminary explorations, such as representation learning for galaxy classification and the exploration for new type of galaxy, reconstruction of the dark energy equation of state via variational autoencoder. These studies provide the basis for the data mining in the CAS space science missions.