AEDC Computational Modeling and Simulation Support to Integrated Test and Evaluation (IT&E)

2017 ◽  
Author(s):  
Robert D. Knapke
Keyword(s):  
Computational Modeling ◽  
Modeling And Simulation ◽  
Test And Evaluation ◽  
Computational Modeling And Simulation

Computational Modeling and Simulation of Linear Accelerator Performance for General Radiotherapy

2019 ◽  
Vol 23 (2) ◽  
Author(s):  
Andelson Berondo ◽  
◽  
Lilian Rodriguez ◽  
Alwielland Bello ◽  
◽  
...  
Keyword(s):  
Monte Carlo ◽  
Computational Modeling ◽  
Modeling And Simulation ◽  
Linear Accelerator ◽  
Depth Dose ◽  
Computational Modeling And Simulation

linear accelerator, depth-dose, Geant4, Monte Carlo

Overview of Computational Modeling and Simulation

2019 ◽  
pp. 39-47
Author(s):  
Roland R. Mielke ◽  
James F. Leathrum ◽  
Andrew J. Collins ◽  
Michel Albert Audette
Keyword(s):  
Computational Modeling ◽  
Modeling And Simulation ◽  
Computational Modeling And Simulation

scholarly journals Agent-Based Modeling for Archaeologists: Part 1 of 3

2019 ◽  
Author(s):  
Iza Romanowska ◽  
Stefani Crabtree ◽  
Kathryn Harris ◽  
Benjamin Davies
Keyword(s):  
Computational Modeling ◽  
Modeling And Simulation ◽  
Computer Science ◽  
Social Processes ◽  
Agent Based Modeling ◽  
Archaeological Research ◽  
Formal Models ◽  
Agent Based ◽  
Global Patterns ◽  
Computational Modeling And Simulation

Formal models of past human societies informed by archaeological research have a high potential for shaping some of the most topical current debates. Agent-based models, which emphasize how actions by individuals combine to produce global patterns, provide a convenient framework for developing quantitative models of historical social processes. However, being derived from computer science, the method remains largely specialized in archaeology. In this paper and the associated tutorial, we provide a jargon-free introduction to the technique, its potential and limits as well as its diverse applications in archaeology and beyond. We discuss the epistemological rationale of using computational modeling and simulation, classify types of models, and give an overview of the main concepts behind agent-based modeling.

scholarly journals Computational Modeling and Simulation to increase Laser Shooting Accuracy of Autonomous LEO Trackers

2021 ◽  
Author(s):  
Jose M. Gambi ◽  
Maria L. Garcia del Pino ◽  
Jonathan Mosser ◽  
Ewa B. Weinmüller
Keyword(s):  
Computational Modeling ◽  
Modeling And Simulation ◽  
Computational Procedure ◽  
Laser Beams ◽  
Medium Size ◽  
The Earth ◽  
Computational Modeling And Simulation ◽  
Current Accuracy ◽  
Laser Trackers

In this paper, we introduce a computational procedure that enables autonomous LEO laser trackers endowed with INSs to increase the current accuracy when shooting at middle distant medium-size LEO debris targets. The code is designed for the trackers to throw the targets into the Atmosphere by means of ablations. In case that the targets are eclipsed to the trackers by the Earth, the motions of the trackers and targets are modeled by equations that contain post-Newtonian terms accounting for the curvature of space. Otherwise, when the approaching targets become visible for the trackers, we additionally use more accurate equations, which allow to account for the local bending of the laser beams aimed at the targets. We observe that under certain circumstances the correct shooting configurations that allow to safely and efficiently shoot down the targets, differ from the current estimations by distances that may be larger than the size of many targets. In short, this procedure enables to estimate the optimal shooting instants for any middle distant medium-size LEO debris target.

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