
Nike Mai developed advanced aerodynamics and radiation pressure modeling features for the tudat-team/tudatpy repository, focusing on high-fidelity simulation of spacecraft and planetary environments. Over five months, Nike implemented paneled aerodynamic coefficient systems with material property support, integrated Mars DTM atmosphere models, and enhanced self-shadowing algorithms for radiation pressure. The work involved C++ and Python, leveraging computational geometry and numerical simulation to improve model accuracy and scalability. Nike addressed edge cases through targeted unit testing and code refactoring, resulting in more robust, maintainable code. These contributions enabled more realistic mission simulations and streamlined integration of new physical models within TudatPy.

August 2025 monthly summary for tudatpy: Delivered Mars DTM atmosphere model integration and stabilized observation viability tests, resulting in more accurate Martian trajectory predictions and more robust CI tests. The work strengthens modeling capabilities for mission planning and reduces debugging time through improved testing discipline.
August 2025 monthly summary for tudatpy: Delivered Mars DTM atmosphere model integration and stabilized observation viability tests, resulting in more accurate Martian trajectory predictions and more robust CI tests. The work strengthens modeling capabilities for mission planning and reduces debugging time through improved testing discipline.
July 2025 TudatPy monthly summary: Key features delivered, major bugs fixed, and notable improvements across the TudatPy repository tudat-team/tudatpy. This month focused on expanding aerodynamics capabilities, enabling Mars atmosphere configuration, and stabilizing parameter handling, with significant contributions enabling scalable, scriptable and maintainable models.
July 2025 TudatPy monthly summary: Key features delivered, major bugs fixed, and notable improvements across the TudatPy repository tudat-team/tudatpy. This month focused on expanding aerodynamics capabilities, enabling Mars atmosphere configuration, and stabilizing parameter handling, with significant contributions enabling scalable, scriptable and maintainable models.
June 2025 Tudatpy monthly summary: Delivered the panelled aerodynamic coefficients system with material properties, reference area, output variables, and a drag-only option, enabling configurable gas-surface interaction models and improved fidelity of aerodynamic calculations. Introduced MaterialProperties defaults, a results history variable, and exposure of dependent variables in body frame and cross-section. Reworked integration to flightConditions for realistic scenario configuration, and added unit tests covering the drag-only path. This work strengthens end-to-end simulation readiness, improves model fidelity, and expands testing coverage.
June 2025 Tudatpy monthly summary: Delivered the panelled aerodynamic coefficients system with material properties, reference area, output variables, and a drag-only option, enabling configurable gas-surface interaction models and improved fidelity of aerodynamic calculations. Introduced MaterialProperties defaults, a results history variable, and exposure of dependent variables in body frame and cross-section. Reworked integration to flightConditions for realistic scenario configuration, and added unit tests covering the drag-only path. This work strengthens end-to-end simulation readiness, improves model fidelity, and expands testing coverage.
Monthly summary for 2025-05: TudatPy PRP (paneled radiation pressure) and SSH (self-shadowing) enhancements delivered a significant upgrade to accuracy, robustness, and performance in radiation pressure modeling for moving-part configurations. Key capabilities added include new dependent variables (illuminated fraction, cross-section change, full body paneled geometry), refactored panel neighbor finding, improved PRP partial calculations, and robust SSH algorithms with rotation handling for moving parts. The updates include noteworthy performance and memory optimizations across PRP/SSH components, improving simulation throughput and scalability. Quality and stability improvements were achieved through targeted unit-test fixes and edge-case resolutions; all tests pass after changes. This work underpins more reliable attitude/orbit predictions and enables more realistic mission simulations while enhancing maintainability through refactoring (in-place array updates for Linspace and isPointsInTriangle, and 1D pixelationMatrix).
Monthly summary for 2025-05: TudatPy PRP (paneled radiation pressure) and SSH (self-shadowing) enhancements delivered a significant upgrade to accuracy, robustness, and performance in radiation pressure modeling for moving-part configurations. Key capabilities added include new dependent variables (illuminated fraction, cross-section change, full body paneled geometry), refactored panel neighbor finding, improved PRP partial calculations, and robust SSH algorithms with rotation handling for moving parts. The updates include noteworthy performance and memory optimizations across PRP/SSH components, improving simulation throughput and scalability. Quality and stability improvements were achieved through targeted unit-test fixes and edge-case resolutions; all tests pass after changes. This work underpins more reliable attitude/orbit predictions and enables more realistic mission simulations while enhancing maintainability through refactoring (in-place array updates for Linspace and isPointsInTriangle, and 1D pixelationMatrix).
Implemented Self-Shadowing Radiation Pressure modeling for TudatPy vehicle panels, with 3D geometry support, new SelfShadowing utilities, and initial unit testing. Included focused build/config cleanups to improve compilation stability. Lays groundwork for more accurate radiation pressure predictions on complex spacecraft geometries.
Implemented Self-Shadowing Radiation Pressure modeling for TudatPy vehicle panels, with 3D geometry support, new SelfShadowing utilities, and initial unit testing. Included focused build/config cleanups to improve compilation stability. Lays groundwork for more accurate radiation pressure predictions on complex spacecraft geometries.
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