PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 26, 20260 citationsOpen Access

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

View Full Paper
MHMalin Hess

Key Points

  • This research introduces the Neutrino Probability Engine (NPE) for harnessing neutrinos in cosmic navigation and astrophysical sensing.
  • Developed a 12-faced dodecahedral detector (CNSI) to analyze neutrino interactions.
  • Derived full Cherenkov first-photon timing formula and established 66 face-pair equations.
  • Implemented a real-time AI inference layer and an onboard atlas-building program.
  • The CNSI allows for robust neutrino directional and energy reconstruction with substantial redundancy.
  • Identified CEvNS in high-atomic-number materials as a feasible path for future technology development.
  • Assessment highlights detector scale as the main engineering challenge for compact spacecraft use.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Malin Hess (2026) studied this question.

synapsesocial.com/papers/6a1538ebb5d9c58d83e8ca2chttps://doi.org/10.5281/zenodo.20365203
Ask AI
Helpful
Bookmark
Share
View Full Paper