A Data System Designed for High-Repetition-Rate High-Energy-Density Science
A Data System Designed for High-Repetition-Rate High-Energy-Density Science lead image
In the coming years, high-energy-density (HED) science facility capabilities are expected to expand to fully benefit from high repetition-rate (HRR) high-power laser technology. Integrating rapid data acquisition, analysis, and control-feedback capacities into new and existing HRR HED systems will be essential for future statistical studies.
At the National Ignition Facility, the lasers fire once a day for ICF experiments. In contrast, repetition rates in HRR HED systems will range from 0.01 to 10 times a second. Such an enormous paradigm shift, however, demands collective HED science community engagement — and complex data management solutions.
Manuel et al. developed a customizable framework to operate in conjunction with a well-supported NoSQL database designed to process large amounts of varied and unstructured data.
“Data generated in HED experiments is multimodal, taking the form of scalars, vectors, and images,” said author Mario J.-E. Manuel. “To meet the needs of the HED community, we developed the MongoDB Repository for Information and Archiving (MORIA) to be customizable for any HED facility regardless of control-system architecture.”
To make MORIA sustainable in the long term and allow new users to develop their own modules, the researchers built multiple application programming interfaces (APIs) that serve specified functions and can modify the database. Many instruments can simultaneously connect to the database, where the raw data and metadata they generate can be stored.
“The strategy is aimed at shifting current HED data management to a more diagnostic-based approach, designed to increase archival and retrieval efficiency and be easily compatible with optimization applications,” said Manuel.
The researchers expect the APIs to be available soon through an open-access repository along with a guide for installing and setting up MORIA at HRR laser facilities.
Source: “A customizable data management framework for high-repetition-rate high-energy-density science,” by M. J.-E. Manuel, A. Keller, E. Linsenmayer, G. W. Collins IV, B. Sammuli, and M. Margo, Review of Scientific Instruments (2024). The article can be accessed at https://doi.org/10.1063/5.0218721 .
