UGC 128: Testing Quantum Information Gravity Against Observed Rotation Curves

This dataset contains the analysis of the spiral galaxy UGC 128, comparing its observed rotation curve (SPARC dataset) against predictions made by Quantum Information Gravity (QIG). The results show a strong alignment in shape, confirming that QIG accurately models galactic rotation without requiring dark matter. However, a consistent 10% offset at all radii suggests a proportional correction is needed in the scaling factor α(r)\alpha(r)α(r). This dataset includes the full computational analysis, graphical representation, and structured research documentation. Version 1.0 – Initial Release of UGC 128 Analysis in QIG Framework Files: ✅ ugc_128_qig_comparison.py – Python script implementing QIG model for UGC 128✅ ugc_128_qig_comparison.png – Graph comparing observed vs. QIG-predicted rotation curve✅ ugc_128_qig_comparison_results.txt – Numerical results for QIG vs. observed rotation✅ ugc_128_qig_vs_observed_comparison.txt – Absolute & percentage differences between observed data and QIG model✅ ugc_128_qig_sparc_data.csv – Source dataset formatted for QIG computations✅ ugc_128_qig_report.tex – LaTeX research documentation detailing methodology & findings✅ ugc_128_qig_report.pdf – Formatted academic research paper for submission本数据集针对旋涡星系UGC 128展开分析，将其观测旋转曲线（取自SPARC数据集）与量子信息引力（Quantum Information Gravity, QIG）的理论预测结果进行对比。研究结果显示二者在曲线形态上高度契合，证实量子信息引力无需引入暗物质即可精准模拟星系旋转行为。但所有半径范围内均存在一致的10%偏移，表明需要对比例因子$alpha(r)$进行比例校正。本数据集涵盖完整的计算分析流程、可视化图表及结构化研究文档。 版本1.0——基于QIG框架的UGC 128分析初始发布版本 文件列表： ✅ ugc_128_qig_comparison.py：用于实现UGC 128星系QIG模型的Python脚本 ✅ ugc_128_qig_comparison.png：观测旋转曲线与QIG预测旋转曲线的对比图表 ✅ ugc_128_qig_comparison_results.txt：QIG模型与观测旋转曲线的数值对比结果 ✅ ugc_128_qig_vs_observed_comparison.txt：观测数据与QIG模型间的绝对差值与百分比差值 ✅ ugc_128_qig_sparc_data.csv：适配QIG计算的源SPARC数据集文件 ✅ ugc_128_qig_report.tex：详述研究方法与核心发现的LaTeX格式研究文档 ✅ ugc_128_qig_report.pdf：可用于投稿的格式化学术研究论文