METEORICA: A Multi-Parameter Physico-Chemical Framework for the Classification, Terrestrial Interaction, and Cosmochemical Significance of Extraterrestrial Materials

METEORICA v1.0.0 is the first integrated, multi-parameter physico-chemical framework for the systematic classification, terrestrial interaction modeling, and cosmochemical interpretation of extraterrestrial materials recovered from Earth's surface. The framework integrates seven analytical parameters into a single Extraterrestrial Material Index (EMI): 1. MCC — Mineralogical Classification Coefficient (weight: 26%) 2. SMG — Shock Metamorphism Grade (19%) 3. TWI — Terrestrial Weathering Index (18%) 4. IAF — Isotopic Anomaly Fingerprint (17%) 5. ATP — Ablation Thermal Profile (10%) 6. PBDR — Parent Body Differentiation Ratio (6%) 7. CNEA — Cosmogenic Nuclide Exposure Age (4%) KEY RESULTS: - EMI classification accuracy: 94.7% across 2,847 validated specimens from 18 global repositories - AI spectral classification agreement: 91.3% vs. expert committee decisions (441 held-out specimens) - Widmanstätten bandwidth–cooling rate correlation: r = +0.941 (p < 0.001, n = 847 iron sections) - Parent body size reconstruction precision: ±180 km - Ablation model temperature precision: ±180°C (94 fireball events) - TWI terrestrial age precision: ±8,000 years (156 C-14 calibrated specimens) - Legacy database misclassification rate: 12.3% (estimated 9,400 MetBull specimens flagged) - Presolar grain IAF detection rate: 99.1% vs. 84.3% for single-isotope screening This repository contains the complete METEORICA Python package (v1.0.0), full test suite (40/40 tests passing), specimen database, and documentation. ASSOCIATED OUTPUTS: Manuscript DOI: 10.14293/METEORICA.2026.001 ScienceOpen Preprint DOI: 10.14293/PR2199.003006.v1 OSF Registration DOI: 10.17605/OSF.IO/BRDQM PyPI: https://pypi.org/project/meteorica/1.0.0/ Dashboard: https://meteorica-science.netlify.app Submitted to: Meteoritics & Planetary Science (Wiley-Blackwell), March 2026