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Weight systems of 6 weights, defining weighted P5s and CY4s, are studied with ML. An approximation of Hodge computation is presented and used to generate transverse weight systems for CY5s and CY6s (arXiv: 2311.17146).

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edhirst/P5CY4ML

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P5CY4ML

This is the repository for arXiv: 2311.xxxx, containing:

  • Statistical analysis and machine learning applied to the dataset of Calabi-Yau four-folds as hypersurfaces in weighted projective spaces.
  • Statistical analysis and machine learning applied to the list of co-prime six-dimensional weight systems, partitioned according to reflexivity, IP, intradivisibility and Calabi-Yau property.
  • A new approximation/lower-bound formula for Calabi-Yau's in weighted projective spaces.

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Weight systems of 6 weights, defining weighted P5s and CY4s, are studied with ML. An approximation of Hodge computation is presented and used to generate transverse weight systems for CY5s and CY6s (arXiv: 2311.17146).

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  • Python 87.2%
  • Jupyter Notebook 12.8%