Code Script and Outputs for the Spatial Phonon Framework

This Zenodo record contains the reproducibility package for the manuscript Spatial Phonons: A Phenomenological Viscous Dark Energy Approach to DESI (submitted to the Journal of Astrophysics and Astronomy). The archive includes the Python analysis script (Statistical_Fit.py), the primary numerical output in JSON format (fit_results.json), and the LaTeX snippet used to typeset the compressed likelihood comparison and best fit summary (w0wa_compressed.tex). The script implements the CPL mapping and the covariance weighted comparison against the DESI DR1 compressed Gaussian constraints in the $(w_0,w_a)$ plane and writes the fitted parameters and derived quantities to the accompanying JSON file. The compressed .tex file is generated from the same outputs and is intended to be included directly in the manuscript source. Usage: run Statistical_Fit.py in a standard Python environment. The analysis requires common scientific Python packages. The DESI DR1 compressed likelihood products used as external inputs are publicly available from the DESI collaboration data release pages, as cited in the manuscript. If you use this package, please cite the associated Zenodo DOI and the final journal article once available.