ICALEPCS2013 - List of Authors (Hahn, S.R.)

Paper

Title

Page

Data Driven Campaign Management at the National Ignition Facility

1473

D.E. Speck, B.A. Conrad, S.R. Hahn, P.D. Reisdorf, S.M. Reisdorf
LLNL, Livermore, California, USA

Funding: * This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. #LLNL-ABS-633255
The Campaign Management Tool Suite (CMT) provides tools for establishing the experimental goals, achieving reviews and approvals, and ensuring readiness for a NIF experiment. Over the last 2 years, CMT has significantly increased the number of diagnostics that supports to around 50. Meeting this ever increasing demand for new functionality has resulted in a design whereby more and more of the functionality can be specified in data rather than coded directly in Java. To do this support tools have been written that manage various aspects of the data and to also handle potential inconsistencies that can arise from a data driven paradigm. For example; drop down menus are specified in the Part and Lists Manager, the Shot Setup reports that lists the configurations for diagnostics are specified in the database, the review tool Approval Manager has a rules engine that can be changed without a software deployment, various template managers are used to provide predefined entry of hundreds parameters and finally a stale data tool validates that experiments contain valid data items. The trade-offs, benefits and issues of adapting and implementing this data driven philosophy will be presented.

Slides FRCOAAB04 [0.929 MB]

Paper	Title	Page
FRCOAAB04	Data Driven Campaign Management at the National Ignition Facility	1473
	D.E. Speck, B.A. Conrad, S.R. Hahn, P.D. Reisdorf, S.M. Reisdorf LLNL, Livermore, California, USA
	Funding: * This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. #LLNL-ABS-633255 The Campaign Management Tool Suite (CMT) provides tools for establishing the experimental goals, achieving reviews and approvals, and ensuring readiness for a NIF experiment. Over the last 2 years, CMT has significantly increased the number of diagnostics that supports to around 50. Meeting this ever increasing demand for new functionality has resulted in a design whereby more and more of the functionality can be specified in data rather than coded directly in Java. To do this support tools have been written that manage various aspects of the data and to also handle potential inconsistencies that can arise from a data driven paradigm. For example; drop down menus are specified in the Part and Lists Manager, the Shot Setup reports that lists the configurations for diagnostics are specified in the database, the review tool Approval Manager has a rules engine that can be changed without a software deployment, various template managers are used to provide predefined entry of hundreds parameters and finally a stale data tool validates that experiments contain valid data items. The trade-offs, benefits and issues of adapting and implementing this data driven philosophy will be presented.
	Slides FRCOAAB04 [0.929 MB]