ACR analysis pipeline for NIST 2015 Bell test data
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2025
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| _version_ | 1866901658577928192 |
|---|---|
| author | Ahmedov, Azat |
| author_facet | Ahmedov, Azat |
| contents | <div> <div>This Docker image reproduces the <strong>Architecture of Coherent Reality</strong> (ACR) analysis workflow on the loophole-free NIST 2015 Bell test data. It converts native <code>.dat</code> files into Parquet, builds compact HDF5 "mini" files, and computes</div> <ul> <li>the <strong>normalized Clauser-Horne (CH)</strong> statistic, and</li> <li>the <strong>third-order T3</strong> statistic (radius scan + permutation / bootstrap).</li> </ul> <div>All steps are scriptable and deterministic; anyone can rebuild the numbers published in the ACR CH/T3 report.</div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15654703 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | ACR analysis pipeline for NIST 2015 Bell test data Ahmedov, Azat <div> <div>This Docker image reproduces the <strong>Architecture of Coherent Reality</strong> (ACR) analysis workflow on the loophole-free NIST 2015 Bell test data. It converts native <code>.dat</code> files into Parquet, builds compact HDF5 "mini" files, and computes</div> <ul> <li>the <strong>normalized Clauser-Horne (CH)</strong> statistic, and</li> <li>the <strong>third-order T3</strong> statistic (radius scan + permutation / bootstrap).</li> </ul> <div>All steps are scriptable and deterministic; anyone can rebuild the numbers published in the ACR CH/T3 report.</div> </div> |
| title | ACR analysis pipeline for NIST 2015 Bell test data |
| url | https://doi.org/10.5281/zenodo.15654703 |