THE NEUTRINO PROBABILITY ENGINE A Technical Framework for Cosmic Navigation and Astrophysical Sensing via Neutrino Fingerprint Cartography

THE NEUTRINO PROBABILITY ENGINE A Technical Framework for Cosmic Navigation and Astrophysical Sensing via Neutrino Fingerprint Cartography Malin Hess, GPT-5.5 Thinking (OpenAI), Claude (Anthropic Sonnet 4.6), & DeepSeek (DeepSeek-R1) May 2026 Abstract We propose the Neutrino Probability Engine (NPE), a complete system architecture for using neutrinos as passive cosmic state messengers rather than as an energy source. The core instrument, the Compact Neutrino Signature Imager (CNSI), is a 12-faced dodecahedral detector that reconstructs incoming neutrino direction, energy, timing, and probabilistic flavour from secondary interaction signals across its sensor faces. We derive the full Cherenkov first-photon timing formula, demonstrate that 66 face-pair equations with 6 unknowns provide 60 degrees of redundancy for robust reconstruction, and develop the complete chi-squared minimisation procedure. The NPE integrates CNSI hardware with a real-time AI inference layer and an onboard atlas-building programme, enabling deep-space navigation, astrophysical source identification, and early detection of cosmic events. A technology readiness assessment identifies the detector scale constraint as the primary engineering barrier to compact spacecraft implementation, with CEvNS in high-atomic-number materials as the most credible near-term development path.