
Bobo Eyens developed and integrated a 5th-degree exponential polynomial ice model for Summit, Greenland within the nu-radio/NuRadioMC repository, extending the existing IceModelExponentialPolynomial class to support region-specific physical parameters. Using Python and C++, Bobo implemented depth-based calculations for the index of refraction and its gradient, enhancing the physical realism of Summit-region simulations. The work included careful documentation and changelog updates to ensure maintainability and traceability. In addition, Bobo addressed density conversion and wrapper instantiation issues, aligning unit conversions and improving code clarity. This focused engineering improved simulation accuracy and facilitated easier onboarding for future contributors to the project.

For nu-radio/NuRadioMC in April 2025, focused on stabilizing physics calculations for IceModelExponentialPolynomial and improving maintainability. Delivered a focused set of fixes to ensure accurate density scaling, proper wrapper usage, and clearer documentation, enabling more reliable simulations and easier onboarding for new contributors.
For nu-radio/NuRadioMC in April 2025, focused on stabilizing physics calculations for IceModelExponentialPolynomial and improving maintainability. Delivered a focused set of fixes to ensure accurate density scaling, proper wrapper usage, and clearer documentation, enabling more reliable simulations and easier onboarding for new contributors.
Delivered the Greenland Summit 5th-degree exponential polynomial ice model (greenland_poly5) for NuRadioMC, extending IceModelExponentialPolynomial to support Summit Greenland. Implemented model-specific coefficients and parameters, and added depth-based calculations for index of refraction and its gradient. Integrated the new model into nu-radio/NuRadioMC with two commits (include exponential polynomial model for summit; adjust change log) and updated the changelog for release traceability. This work enhances physical realism for Summit-region simulations, enabling more accurate signal propagation modeling and better event reconstruction. Demonstrated strong Python-based OOP design, modelling accuracy, and maintainability, with clear traceability for future enhancements.
Delivered the Greenland Summit 5th-degree exponential polynomial ice model (greenland_poly5) for NuRadioMC, extending IceModelExponentialPolynomial to support Summit Greenland. Implemented model-specific coefficients and parameters, and added depth-based calculations for index of refraction and its gradient. Integrated the new model into nu-radio/NuRadioMC with two commits (include exponential polynomial model for summit; adjust change log) and updated the changelog for release traceability. This work enhances physical realism for Summit-region simulations, enabling more accurate signal propagation modeling and better event reconstruction. Demonstrated strong Python-based OOP design, modelling accuracy, and maintainability, with clear traceability for future enhancements.
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