3. New approaches for interactive instrument monitoring for XMM-Newton

     

    ESA supervisor: Peter Kretschmar
    Collaborator(s): Ricardo Perez, Aitor Ibarra

    Site: ESAC

    The X-ray Multi-Mirror observatory (XMM-Newton) is one of ESA’s major science missions supporting a lively scientific community for the least quarter century since its launch in December 1999. The mission is in excellent health and is expected to be operated for many more years to come. This also implies continued improvements and rejuvenation of existing software systems. 

    The XMM-Newton Science Operations Centre (SOC) at ESAC carefully monitors the health and status of the instruments onboard the satellite in order to identify anomalies or trends that need attention. In recent years this work has included the use of a state-of-the art database, called ARES, used by multiple ESA missions, the development of a Python interface to this database and the ingestion into the ARES system of all the XMM-Newton trend analysis instrument data. At the same time, the SOC is making more and more use of the ESA Datalabs platform https://datalabs.esa.int/ and is investigating as well the inclusion of Artificial Intelligence or Machine Learning techniques in these instrument monitoring tasks. While some of the of these new approaches are already operational, other areas remain to be migrated or investigated for future implementations. 

    The main goal of this internship is to explore the rejuvenation of further interactive instrument monitoring tasks, within ESA Datalabs, to these new approaches, working on frontend solutions for some tasks based on the tools and methods developed in the last years. At the minimum at the prototype level, possibly directly leading to tools being used operationally in the future. The work will take place within a team of astronomers, instrument specialists and software developers who will advise and instruct on the specific problems and existing tools. The internship will provide hands-on experience on systematic software development for an operational environment as well as provide insights into the operations of a scientific mission.

    Project duration: 6 months.

    Desirable expertise or programming language:

    • Python and JavaScript experience are essential.
    • Experience with Docker technologies and databases would be desirable. 

     

    To apply for this project please fill in an online application form through the following link.