Description / Abstract: This dataset accompanies the technical note Residual Scalar Response and Late-Time Growth Suppression in the 7-phi Framework. It contains an updated Model 1 audit package testing a residual-response growth-suppression extension of the 7-phi dark-sector framework. Model 1 starts from the entropy response function: mu (u) = u / (1 + u) and identifies the residual inactive response fraction as: 1 - mu (u) = 1 / (1 + u). The effective growth response is modeled as: Gₑff (k, z) = G 1 - epsilonS B (k) / (1 + u0 (1 + z) ᵖ) using a scale-averaged first-pass approximation with B (k) = 1. The package includes the updated technical note PDF, LaTeX source, CSV outputs, S8 suppression scan, f sigma 8 selected-case outputs, an illustrative RSD f sigma 8 audit, plots, and README. The first-pass RSD comparison finds that Model 1 can improve the uncorrelated chi-square relative to Model 0 in this illustrative dataset. The best scanned case gives approximately: epsilonS = 0. 14, u0 = 0. 5, p = 1. 5 with: chi2Model0 = 14. 76 and: chi2Model1 = 8. 58 corresponding to: Delta chi2 ≈ -6. 18. This result should be interpreted as an audit-level indication only. The comparison does not include a full covariance matrix, a complete CLASS/CAMB Boltzmann implementation, or a joint fit with BAO, SNe, CMB, weak lensing, and CMB lensing data. Model 1 remains a motivated candidate extension requiring stronger tests. DISCLAIMER Generative AI was used to assist with literature screening / coding support / draft language revision. All AI-assisted outputs were independently checked by the author, and the author takes full responsibility for the final analysis and text. This is encompassing all the work that has been done and will be done. All code is under MIT licensing. All research papers are under Creative Commons License. All code, outputs and notes are included in the reproducibility bundle zip file.
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Malin Hess
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Malin Hess (Wed,) studied this question.
www.synapsesocial.com/papers/69fd7eb0bfa21ec5bbf06ebc — DOI: https://doi.org/10.5281/zenodo.20052777