SPARC Disk Galaxy Coherence Tests and Analysis Code for Observer-Normalized Scale Relativity

SPARC Coherence / J-Variant Stress Tests This repository contains the analysis code used in: "Observer-Normalized Scale Relativity: Coherence Constraints on Global Physical Inference and Disk Galaxy Dynamics" Files- sparc_j_tests.py Python script that loads the SPARC dataset, computes the Q=1 (Newtonian) coherence form, and evaluates scatter stability across morphology and surface brightness bins. - Raw SPARC.xlsx Input dataset (SPARC v1, reformatted for Excel). How to run1. Place `sparc_j_tests.py` and `Raw SPARC.xlsx` in the same directory.2. Run: python sparc_j_tests.py3. Output CSV files will be written to the `outputs/` directory. Outputs- J3_baseline_by_morph_Q1.csv - J3_split_SBeff_global_Q1.csv - J3_split_SBeff_within_morph_Q1.csv - J3_split_SBdisk_global_Q1.csv - J3_split_SBdisk_within_morph_Q1.csv Notes- Column headers are auto-detected where possible.- No fitting or parameter tuning is performed.- All results are direct evaluations of the coherence form.