This project explores a novel computational model for steerable X-ray trajectories using layered Janus structures and binary reflection logic. The system treats each reflection event as a discrete decision point, allowing photon paths to be represented as binary sequences that produce controllable exit trajectories.

The visualization demonstrates how complex steering behavior can emerge from simple layered interactions, combining ideas from computational modeling, physics-based simulation, optimization, and systems architecture. This work contributes to broader research in computational imaging, medical technology, and intelligent physical systems design.