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Title: Adaptive Dynamic Event Tree in RAVEN code

RAVEN is a software tool that is focused on performing statistical analysis of stochastic dynamic systems. RAVEN has been designed in a high modular and pluggable way in order to enable easy integration of different programming languages (i.e., C++, Python) and coupling with other applications (system codes). Among the several capabilities currently present in RAVEN, there are five different sampling strategies: Monte Carlo, Latin Hyper Cube, Grid, Adaptive and Dynamic Event Tree (DET) sampling methodologies. The scope of this paper is to present a new sampling approach, currently under definition and implementation: an evolution of the DET me
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  1. Idaho National Laboratory
Publication Date:
OSTI Identifier:
Report Number(s):
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Resource Relation:
Conference: ANS Winter Meeting, Anaheim, CA, 11/9/2014 - 11/13/2014
Research Org:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org:
USDOE Office of Nuclear Energy (NE)
Country of Publication:
United States
Dynamic Event Tree; RAVEN