Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
group
Campus
Daytona Beach
Authors' Class Standing
Petar T. Grigorov - Senior Seth M. Garcia - Junior Brittney A. Marzen - Senior
Lead Presenter's Name
Petar T. Grigorov
Faculty Mentor Name
Mihhail Berezovski
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Abstract
Radiation transport is the study of how particles such as electrons (beta radiation) and photons (gamma radiation) move through space and interact with matter. It is important to measure radiation to be able to predict the behavior of radioactive sources. The Pacific Northwest National Laboratory, having done a multitude of research on this topic, has provided simulated data for the project. To be able to analyze and to understand the behavior of radiation, computational methods for Reduced Order Modelling (ROM) are an appropriate approach for modelling radiation transport with the purpose of identifying what sources of radiation are emitted and their locations. Three of the different ways to perform ROM are Principal Component Analysis (PCA), Non-Negative Matrix Factorization (NNMF), and Tensor Rank Decomposition (CPT). The challenges in determining the most appropriate ROM for this problem arises from the fact that there is no conventional way to compare each of the three techniques. The objective of this research project is to show how each computational method models the radiation transport data, identify a common feature among each model to compare, and analyze the advantages and disadvantages of each method for this particular research topic.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Radiation Transport: A Simulation and Analysis Project with the Pacific Northwest National Laboratory
Radiation transport is the study of how particles such as electrons (beta radiation) and photons (gamma radiation) move through space and interact with matter. It is important to measure radiation to be able to predict the behavior of radioactive sources. The Pacific Northwest National Laboratory, having done a multitude of research on this topic, has provided simulated data for the project. To be able to analyze and to understand the behavior of radiation, computational methods for Reduced Order Modelling (ROM) are an appropriate approach for modelling radiation transport with the purpose of identifying what sources of radiation are emitted and their locations. Three of the different ways to perform ROM are Principal Component Analysis (PCA), Non-Negative Matrix Factorization (NNMF), and Tensor Rank Decomposition (CPT). The challenges in determining the most appropriate ROM for this problem arises from the fact that there is no conventional way to compare each of the three techniques. The objective of this research project is to show how each computational method models the radiation transport data, identify a common feature among each model to compare, and analyze the advantages and disadvantages of each method for this particular research topic.