Work

Particle Sensitivity Analysis

Year: 2020

Type: report

Abstract: We propose to develop a computational sensitivity analysis capability for Monte Carlo sampling-based particle simulation relevant to Aleph, Cheetah-MC, Empire, Emphasis, ITS, SPARTA, and LAMMPS codes. These software tools model plasmas, radiation transport, low-density fluids, and molecular motion. Our report demonstrates how adjoint optimization methods can be combined with Monte Carlo sampling-based adjoint particle simulation. Our goal is to develop a sensitivity analysis to drive robust design-based optimization for Monte Carlo sampling-based particle simulation - a currently unavailable capability.

DOI: 10.2172/1669202

Authors: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), Stephen Bond, USDOE National Nuclear Security Administration (NNSA), Tulane Univ., New Orleans, LA (United States), Brian Franke, Richard Lehoucq, Scott McKinley

Institutions: Sandia National Laboratories, Tulane University

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W3093579104

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