Beryllium Parameter Study Technical Paper: Technical report from my work in XCP-8 on studying the parameters of Beryllium
Particle Swarm Optimizer Development Tools: This toolkit can be used to implement user-defined PSO analysis and visualization of a cost function. Currently, we only have a Gravitational Search Algorithm (GSA) developed and implemented. I hope to include other PSO techniques over time.
Abstract: Multi-physics codes for the simulation of flyer plate experiments have many parameters that directly affect a simulation’s fit to data. In particular, the Preston Tonks Wallace (PTW) strength model consists of eleven parameters and functions as a strength sub-model in simulations of material impact experiments. Using expert judgment and a Particle Swarm Optimizer (PSO) we traverse the parameter space of the PTW model in order to optimize individual parameters in the model while logging and interpolating the overall parameter space. We developed a Gravitational Search Algorithm that implements Newtonian physics to allow for the minimization of our cost function in the parameter space. In this talk, we will discuss the overall implementation, development, and results of this project.
Pyaesar: Named after Caesar for running a highly parallel distributed army to conquer the known world at the time this API was used for embarrassingly parallel data mapping and processing across nodes.
Abstract: The study of morphological signatures of nuclear materials for forensic analysis has been a growing field for the past few years. With the development of the MAMA (Morphological Analysis of Materials) software, the field can be looked at under a new light. This software segments a given microscope image of a material sample and allows for specified quantification of the image. Therefore, MAMA will allow a more quantifiable analysis of data in nuclear forensics in support of national security. In this project, I am working on an extension of the software that will allow individuals to create their own plugin that can be implemented into the main software. This is a beneficial tool for the software because it opens up an interactive user base and builds a community that will allow for the exponential growth of options for the software as it progresses further. The development of the plugin is a necessity to allow for individual scientists who need to quantify morphology in their image set using an algorithm that they developed and cannot wait for it to be implemented in the next version of MAMA. While developing the plugin it was clear that a new format, design, and outline of the current documentation had to be reevaluated into a more modern user-friendly walkthrough.