Jupyter Notebook for Analyzing and Visualizing Stellarator Properties

The application presented is a Jupyter notebook that allows users to analyze properties of inputted stellarator configurations. Data can be provided manually, through a .txt file, or through an existing configuration entered into the Fuse0D spreadsheet. The Python script calculates optimized helium concentration, volume averaged density, and P_heat estimates according to the model proposed in Hammett et al (2019). Using these generated values, a Q value for the stellarator configuration is maximized and the ISS-04 H confinement scaling multiplier is minimized. The user may iterate one or two parameters over a given range to visualize the effect of changing configurations in a two-dimensional or three-dimensional graph—this functionality would be displayed on a laptop at the conference. The application is designed to allow easy and accurate analysis of stellarator properties, allowing users to identify promising configurations and eliminate those with poor performance.