Releases: Miriadenera/codex-alpha-computational-framework
Release list
v0.1.0 — Closed Beta Research Demonstrator
Codex Alpha Computational Framework v0.1.0 — Closed Beta Research Demonstrator
This release marks the first documented closed-beta state of the Codex Alpha Computational Framework, an open-source research demonstrator for Gaia DR3 candidate prioritization, astrometric dynamics, projected proper-motion evolution, synthetic stellar reconstruction and validation-oriented space-data intelligence.
The framework is designed as a candidate-level pre-validation intelligence layer. It does not claim direct astrophysical discovery. Its purpose is to help transform multidimensional astronomical catalogue data into explainable, ranked and validation-ready candidate dossiers.
Main features
- Gaia DR3 candidate data ingestion
- anomaly ranking and feature contribution analysis
- graph-based structural analysis
- astrometric dynamics and kinematic proxy evaluation
- projected proper-motion evolution for the local demo dataset
- candidate-level motion traces based on Gaia-derived observables
- Candidate Investigation Cockpit
- synthetic stellar twin visualization
- full candidate dossier generation
- TXT / Markdown / LaTeX / JSON export support
- external validation workflow links
- local-first React/Vite dashboard
- Python-based data-processing pipeline
Scientific boundaries
This release uses explicit candidate-level language.
The framework does not confirm:
- planets
- binary systems
- hidden companions
- black holes
- close encounters
- physical orbits
- future stellar configurations
- direct physical measurements
- observational stellar images
Projected motion traces are not orbital simulations and are not N-body gravitational integrations.
Synthetic stellar twins are proxy-based procedural visualizations, not observational images.
All candidate interpretations require independent validation through external astronomical services such as Gaia Archive, SIMBAD, VizieR, Aladin, X-Match and related catalogue infrastructures.
Documentation
A technical whitepaper describing this closed-beta release is available on Zenodo:
Codex Alpha Computational Framework: Technical Whitepaper
DOI: https://doi.org/10.5281/zenodo.20335018
Repository status
This release corresponds to the public repository state tagged as:
v0.1.0-closed-beta
Live framework
https://www.codexalpha.org/computational-framework