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High-performance C++ framework for afterglow modeling with Python bindings. Features fast multi-wavelength light curve generation, MCMC parameter inference, and advanced physics models including shock dynamics, radiation mechanisms, and structured jets. Designed for computational efficiency and scientific workflow integration.
Pipeline for simplifying analysis and timing of Magnetar data using PRESTO and Python subprocess, built for Magnetar Timing Research Team @ Pulsar Seach Collaboratory
Stellaris QED Engine Quantum Vacuum Engineering for Next-Generation Energy & Propulsion The Stellaris QED Engine is a cutting-edge computational framework for investigating quantum vacuum phenomena in extreme electromagnetic environments. This research platform enables first-principles simulation of dark photon conversion, strong-field QED effect