Speaker
Description
The Spacecraft Anomaly Resolution Knowledgebase (SPARK), developed under a NASA SBIR Phase I and built upon an US Air Force SBIR Phase II technology, includes a coupled anomaly database, a powerful analytics software package, and an intuitive user interface -- all hosted in a secure cloud-native infrastructure. It builds on past, current, and new anomaly databases (e.g., NASA SOARS and Coordinated Group of Meteorological Satellites), employs analytical and machine-learning (ML) techniques, and is interoperable with other spacecraft-related tools. SPARK will improve the ability of spacecraft owners, operators, and other stakeholders to understand and potentially mitigate space weather environments adversely affecting space assets.
The SPARK capability provides the ability for the space weather community to coordinate and develop/cultivate individual and associated event catalogs (e.g., flares-SEPs-CMEs, HSS, substorms). This living catalog strives to 'solve' the community problem of having catalogs and catalog derivatives for users, operators, researchers, etc. Data-driven modeling such as applying ML can effectively be applied to these catalogs and underlying metadata and be developed in Jupyter notebooks and deployed using continuous improvement/ continuous deployment pipelines.
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