Sensitivity Analyses for Monte Carlo Sampling-Based Particle Simulations
- Tulane Univ., New Orleans, LA (United States)
Computational design-based optimization is a well-used tool in science and engineering. Our report documents the successful use of a particle sensitivity analysis for design-based optimization within Monte Carlo sampling-based particle simulation—a currently unavailable capability. Such a capability enables the particle simulation communities to go beyond forward simulation and promises to reduce the burden on overworked analysts by getting more done with less computation.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1889334
- Report Number(s):
- SAND2022-12721; 710193; TRN: US2309342
- Country of Publication:
- United States
- Language:
- English
Similar Records
Monte Carlo simulation of the temporal and spectral responses of the pulsed-neutron logging principle
Monte Carlo burnup code acceleration with the correlated sampling method. Preliminary test on an UOX cell with TRIPOLI-4{sup R}
Rapid Monte Carlo simulation of detector DQE(f)
Thesis/Dissertation
·
Thu Jan 01 00:00:00 EST 1987
·
OSTI ID:1889334
Monte Carlo burnup code acceleration with the correlated sampling method. Preliminary test on an UOX cell with TRIPOLI-4{sup R}
Conference
·
Mon Jul 01 00:00:00 EDT 2013
·
OSTI ID:1889334
+1 more
Rapid Monte Carlo simulation of detector DQE(f)
Journal Article
·
Sat Mar 15 00:00:00 EDT 2014
· Medical Physics
·
OSTI ID:1889334
+4 more