ENHANCING SEISMIC CALIBRATION RESEARCH THROUGH SOFTWARE AUTOMATION AND SCIENTIFIC INFORMATION MANAGEMENT
The National Nuclear Security Administration (NNSA) Ground-Based Nuclear Explosion Monitoring Research and Development (GNEMRD) Program at LLNL continues to make significant progress enhancing the process of deriving seismic calibrations and performing scientific integration, analysis, and information management with software automation tools. Our tool efforts address the problematic issues of very large datasets and varied formats encountered during seismic calibration research. New information management and analysis tools have resulted in demonstrated gains in efficiency of producing scientific data products and improved accuracy of derived seismic calibrations. The foundation of a robust, efficient data development and processing environment is comprised of many components built upon engineered versatile libraries. We incorporate proven industry 'best practices' throughout our code and apply source code and bug tracking management as well as automatic generation and execution of unit tests for our experimental, development and production lines. Significant software engineering and development efforts have produced an object-oriented framework that provides database centric coordination between scientific tools, users, and data. Over a half billion parameters, signals, measurements, and metadata entries are all stored in a relational database accessed by an extensive object-oriented multi-technology software framework that includes stored procedures, real-time transactional database triggers and constraints, as well as coupled Java and C++ software libraries to handle the information interchange and validation requirements. Significant resources were applied to schema design to enable management of processing methods and station parameters, responses and metadata. This allowed for the development of merged ground-truth (GT) data sets compiled by the NNSA labs and AFTAC that include hundreds of thousands of events and tens of millions of arrivals. The schema design groundwork facilitated extensive quality-control and revalidation steps. In support of the GT merge effort, a comprehensive site merge process was also accomplished this year that included station site information for tens of thousands of entries from NNSA labs, AFTAC, NEIC, ISC, and IRIS. A core capability is the ability to rapidly select and present subsets of related signals and measurements to the researchers for analysis and distillation both visually (JAVA GUI client applications) and in batch mode (instantiation of multi-threaded applications on clusters of processors). RBAP Version 2 is one such example. Over the past year RBAP was significantly improved in capability and performance. A new role-based security model now allows fine-grain access control over all aspects of the tool's functions enabling researchers to share their work with others without fear of unintended parameter alterations. A new, faster and more reliable GIS mapping framework was added, as well as expanded powerful interactive plotting graphics. In addition, we implemented parent-child type projects to enhance calibration data management. Our specific automation methodology and tools improve the researchers ability to assemble quality-controlled research products for delivery into the NNSA Knowledge Base (KB). The software and scientific automation tasks provide the robust foundation upon which synergistic and efficient development of GNEMRD Program seismic calibration research may be built.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 965949
- Report Number(s):
- LLNL-PROC-405201; TRN: US200921%%539
- Resource Relation:
- Conference: Presented at: Monitoring Research Review, Portsmouth, VA, United States, Sep 23 - Sep 25, 2008
- Country of Publication:
- United States
- Language:
- English
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Enhancing Seismic Calibration Research Through Software Automation and Scientific Information Management
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