Mica: data-mining the Chandra archive for satellite operations

Authors: Jean M. Connelly, Smithsonian Astrophysical Observatory (SAO); Thomas L. Aldcroft, SAO

Track: Posters


The Chandra X-ray Observatory was launched in July 1999 and continues to make a wide range of astronomical discoveries. A unique capability of Chandra is the extraordinary spatial resolution of of the X-ray images, made possible by the X-ray optics and a sophisticated attitude determination system that reconstructs the detected photons into a sharp image. In order to fully track the performance of the attitude system, the operations team at the Chandra X-ray Center has developed a Python-based infrastructure named Mica. Mica includes a component which aggregates diverse engineering and science data products, and a component which provides tools to mine these aggregated data to assist in data trending and visualization as well as anomaly investigation. In this poster we will discuss some of the issues facing the Chandra satellite as it nears its 14th birthday, and then describe the architecture of Mica and show examples of how it has been used in practice.