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N E 506

MONTE CARLO RADIATION TRANSPORT

3 credits.

Use of Monte Carlo technique for applications in nuclear engineering and medical physics. Major theory of Monte Carlo neutral particle transport is discussed. Standard Monte Carlo transport software is used for exercises and projects. Major emphasis is on analysis of real-world problems.

Prerequisites & course information

Requisites: N E 305 and ( N E 405 , N E 408 , PHYSICS/B M E/H ONCOL/MED PHYS 501 or N E/MED PHYS 569 ) or graduate/professional standing Course Designation: Core GenEd - Natural Science & Wellness Breadth - Physical Science Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Use an industry-relevant software package to perform Monte Carlo radiation transport simulations for analysis of fixed source and/or multiplying systems Audience: Both Grad & Undergrad 2. Explain how random processes are used to simulate a single particle transport history through an engineering system, including source, streaming and collisions Audience: Both Grad & Undergrad 3. Explain how the paths of many particle transport histories are combined to provide estimates of engineering results Audience: Both Grad & Undergrad 4. Analyze the statistical performance of a simulation and suggest ways to improve that performance Audience: Both Grad & Undergrad 5. Apply Monte Carlo radiation transport to a problem related to your research Audience: Graduate Learning Outcomes: 1. Use an industry-relevant software package to perform Monte Carlo radiation transport simulations for analysis of fixed source and/or multiplying systems Audience: Both Grad & Undergrad 2. Explain how random processes are used to simulate a single particle transport history through an engineering system, including source, streaming and collisions Audience: Both Grad & Undergrad 3. Explain how the paths of many particle transport histories are combined to provide estimates of engineering results Audience: Both Grad & Undergrad 4. Analyze the statistical performance of a simulation and suggest ways to improve that performance Audience: Both Grad & Undergrad 5. Apply Monte Carlo radiation transport to a problem related to your research Audience: Graduate

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