Supplementary data and code for "An identifiable scatter floor and calibration framework for the radial acceleration relation"
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2026
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| _version_ | 1866902228598521856 |
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| author | tanigawa, masato |
| author_facet | tanigawa, masato |
| contents | <p>Analysis code and intermediate numerical results for "An identifiable scatter<br>floor and calibration framework for the radial acceleration relation"<br>(Tanigawa 2026, submitted to MNRAS).</p> <p>The deposit contains the Python analysis pipeline (49 scripts), shared<br>data-loading module, and intermediate CSV/NPZ results required to reproduce<br>the findings. The work analyses 171 SPARC galaxies with a hierarchical<br>Bayesian and DAG-based identifiability framework, proving algebraically that<br>the (sigma_halo, sigma_within) decomposition is structurally non-identifiable<br>from the hierarchical likelihood and that naive fits under-estimate<br>sigma_halo by 30-50% through a conflation-bias mechanism quantified on a<br>640-realisation synthetic grid. A SPARC-like mock catalogue from IllustrisTNG<br>TNG100-1 is also included for an apples-to-apples comparison against LCDM.</p> <p>Manuscript text and published figures are NOT included (publisher copyright<br>on acceptance). Figures are reproducible by running the corresponding scripts<br>on the deposited intermediate results.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20388490 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Supplementary data and code for "An identifiable scatter floor and calibration framework for the radial acceleration relation" tanigawa, masato radial acceleration relation SPARC galaxies rotation curves hierarchical Bayesian <p>Analysis code and intermediate numerical results for "An identifiable scatter<br>floor and calibration framework for the radial acceleration relation"<br>(Tanigawa 2026, submitted to MNRAS).</p> <p>The deposit contains the Python analysis pipeline (49 scripts), shared<br>data-loading module, and intermediate CSV/NPZ results required to reproduce<br>the findings. The work analyses 171 SPARC galaxies with a hierarchical<br>Bayesian and DAG-based identifiability framework, proving algebraically that<br>the (sigma_halo, sigma_within) decomposition is structurally non-identifiable<br>from the hierarchical likelihood and that naive fits under-estimate<br>sigma_halo by 30-50% through a conflation-bias mechanism quantified on a<br>640-realisation synthetic grid. A SPARC-like mock catalogue from IllustrisTNG<br>TNG100-1 is also included for an apples-to-apples comparison against LCDM.</p> <p>Manuscript text and published figures are NOT included (publisher copyright<br>on acceptance). Figures are reproducible by running the corresponding scripts<br>on the deposited intermediate results.</p> |
| title | Supplementary data and code for "An identifiable scatter floor and calibration framework for the radial acceleration relation" |
| topic | radial acceleration relation SPARC galaxies rotation curves hierarchical Bayesian |
| url | https://doi.org/10.5281/zenodo.20388490 |