BETAFACT: A Code for the Statistical Analysis of Algorithms
Abstract
In the course of performing lethality assessments for the Defense Nuclear Agency Single Pulse Laser Lethality and Target Hardening (LTH-3) Program, it is necessary to consistently combine many sources of uncertainty which contribute to the overall uncertainty associated with algorithms used in modelling laser interaction and target response. A computer code called BETAFACT was developed to perform this task. A Monte Carlo approach is used in BETAFACT to develop an algorithm results distribution which reflects the combined effect of all sources of uncertainty which contribute to the overall algorithm uncertainty. Statistics are evaluated for the algorithm results distribution to quantify the overall associated uncertainty and to identify a probability distribution which models the algorithm results distribution. Normal, lognormal, Beta, and generalized uniform distributions are used in the code to model uncertainties. The code runs interactively, prompting for data and analysis modifications as required. It is necessary for the user of the code to have a very modest proficiency in FORTRAN programming in order to make a specific algorithm accessible to the code via user provided subroutines. (kr)
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1990
- Accession Number
- ADA228177
Entities
People
- Stephen H. Sutherland