Unified Field Toy Model applied to the SPARC database (rotation curves, Python workflows, and results)

This repository contains the implementation, data, and documentation of a toy model for a unified galactic field, applied to the SPARC (Spitzer Photometry & Accurate Rotation Curves) database. The project combines theoretical insights and computational analysis to test whether a simple field representation can reproduce observed galactic rotation curves. Contents include: Python scripts (analyze_structures.py, pipeline.py, run_pipeline_gamma.py) to process SPARC profiles and generate rotation curve fits. Processed datasets (summary.csv, summary_checked.csv, gamma_per_galaxy.csv) and comparative results across multiple toy model runs. Graphical outputs (plots of rotation curves, profiles, summaries) in compressed .zip format. Documentation in Spanish and English: manifiesto (theoretical context), README (workflow instructions), and términos (definition of galactic parameters). This work is not a finished scientific theory, but a hypothesis seed: a framework to encourage future collaborative refinement. It demonstrates that ~70% of SPARC galaxies can be fit within the toy model without arbitrary free parameters, offering a potential path for unification between baryonic dynamics and galactic-scale fields. Keywords: toy model, SPARC, rotation curves, dark matter, unified field, Python, astrophysics dataset License: [choose one, e.g. CC-BY 4.0 or MIT]