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| Hlavní autor: | |
|---|---|
| Médium: | Recurso digital |
| Jazyk: | angličtina |
| Vydáno: |
Zenodo
2026
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| Témata: | |
| On-line přístup: | https://doi.org/10.5281/zenodo.19481106 |
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- <p>This archive contains Python scripts and intermediate results for a hierarchical Bayesian analysis of the radial acceleration relation (RAR) scatter in 171 SPARC galaxies. The analysis uses a directed acyclic graph (DAG) to encode causal assumptions, hierarchical Bayesian inference to simultaneously estimate intrinsic inter-galaxy scatter (sigma_halo) and error scale factors (alpha_D, alpha_Inc), and do-calculus to decompose the scatter into causal components.</p> <p>Contents:</p> <ul> <li>scripts/ : 9 Python scripts (numbered 00-08) that reproduce all results and figures</li> <li>results/ : 13 CSV files and 2 NPZ files containing MCMC posterior samples and summary statistics</li> <li>src/ : Data loading module for the SPARC database</li> <li>README.md : Detailed documentation of all files, dependencies, and reproduction instructions</li> </ul>