Cost: $99

Limited Space

Organizer: Paul Romano (Argonne National Laboratory), Micah Gale (Idaho National Laboratory) and Travis Labossiere-Hickman (Idaho National Laboratory)

This workshop will introduce attendees to two powerful Python-based tools for performing Monte Carlo simulations. The first tool that will be covered is MontePy, a Python library for reading, editing, and writing MCNP input files. Through hands-on demonstrations, we will show methods to automate common tasks for updating large MCNP models as well as ways to create an MCNP problem from scratch in MontePy. After covering MontePy, we will then proceed with an interactive demonstration of the OpenMC Monte Carlo code, showing how its Python API can be used to define a model, run a simulation, and analyze the results. Together, attendees will have a strong starting point for performing their own explorations using MontePy and OpenMC.

Participants should bring their laptop to follow along with the live demonstrations. There are no requirements to install software ahead of time. A link will be provided to access the software on a cloud computing platform accessible through any web browser.