Akṣara Correspondence Encoding (ACE) v1.1: A Unified Mapping of Vedic Phonemes to Standard Model Particles
Year: 2025
Type: article
Abstract: This dataset accompanies the paper Akṣara Correspondence Encoding (ACE) v1.1: A Unified Mapping of Vedic Phonemes to Standard Model Particles (Bharadwaj, 2025). It provides the complete roster of 116 Standard Model particles and resonances, including both observed (PDG 2024/25) and predicted (ACE v1.1) values for masses and decay widths. Significance. ACE demonstrates that a rule-based phonetic code, derived from Sanskrit akṣara (imperishable sound units), can reproduce particle properties with high precision. The κ–φ ladder (κ = 26.06 MeV, φ = 1.618) aligns masses, while entropy–width rules based on sibilant, vowel, and dental phonemes predict decay widths. Gauge bosons (W, Z) and the Higgs scalar are reproduced within ≤1% error without per-particle tuning. Sanskrit connection. In Vedic cosmology, sound (śabda) is the origin of form (rūpa). By encoding particles through akṣara seeds (e.g., ka, ra, la), ACE formalizes this insight in a modern, falsifiable framework. Each consonant-vowel pair is treated as a vibrational operator, linking ancient phonosemantics with quantum observables. Contents. CSV (machine-readable, 116 entries × 15 columns) XLSX (formatted table with annotations) README.md (documentation and methodology) Observed values are blank where PDG reports no measurement; ACE predictions are complete for all 116 entries. No per-particle fitting is performed. This dataset enables independent verification of ACE predictions and provides a bridge between Sanskrit’s vibrational code and modern physics.
Author: Bharadwaj, Hemu
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7083671842
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