Engineering & Technologypreprint2026-09-14

Muometric Data Modulation and State Synchronization Through Obstructed Subsurface Media: A Theoretical Framework, Channel Physics Model, and Protocol Design

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Abstract

Conventional radio-frequency (RF) and acoustic communication channels suffer severe absorption and scattering when traversing dense rock and collapsed subsurface infrastructure [4, 5]. While relativistic muons (µ ±) possess extreme penetration capabilities, their application as practical data carriers is heavily constrained by flux limitations, beam divergence, and detector scale [1, 6]. We explore, as a theoretical thought experiment, the ultimate physical limits and protocol design assuming such a beam could be made available — while noting that the generation of a sufficiently intense, collimated multi-GeV muon beam remains beyond current accelerator technology in a field-deployable form. We frame this study as a channel-physics analysis and protocol-design exercise for short-message timestamping and state synchronization. We transition from Pulse Interval Modulation (PIM) to Slotted Pulse Position Modulation (PPM) to eliminate error propagation, and replace simplistic bit-flipping models with a physics-driven noise channel incorporating Multiple Coulomb Scattering (MCS), ionization energy loss, and timing jitter. A linear Hamming(7,4) block code with Cyclic Redundancy Check (CRC) provides error control [3, 9]. For the physically realizable case of a 12 m overburden, which is consistent with the Continuous Slowing Down Approximation (CSDA) range of a 5 GeV muon, the protocol achieves raw bit-error rates below 3% for timing jitter up to 15 ns and estimates depth to sub-millimeter accuracy with 106 muons. A hypothetical 70 m stress-test, included to illustrate scaling if a multi-tens-of-GeV beam were available, yields a depth estimate within 2.66% using 104 muons. The round-trip latency of the asymmetric hybrid link (muon downlink + seismic uplink) is under 70 ms. These results validate the modulation and coding scheme at physically accessible depths and motivate future work toward higher-energy muon sources.

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-09-14

Authors: Yana Choudhary, Afeefa Anwar, Erica Poku, Eloise Nose, Ella Poku, Eric Chen, Joshua Lau, Michael Li

Institutions: University of Toronto, Carleton University, St. Augustine College, St. Matthew's University, St. Mark's Hospital, Cecil College, Pierre Elliott Trudeau Foundation, Marks and Spencer (United Kingdom)