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Supervised & unsupervised machine-learning techniques are applied to the database of weighted P4s which admit Calabi-Yau hypersurfaces (arXiv: 2112.06350).

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Weighted Projective Spaces ML

Description:
The database of 5-vectors describing 4d weighted projective spaces which admit Calabi-Yau hypersurfaces are examined with supervised and unsupervised ML techniques.

How to run:
~ Datasets available in the folder Data, including the h11 clustering results.
~ Scripts related to investigations are labelled accordingly. They are run cell-by-cell sequentially with commented points to change parameters for analysis. ML is run with the use of sci-kit learn.

BibTeX Citation

@article{Berman:2021mcw,
    author = "Berman, David S. and He, Yang-Hui and Hirst, Edward",
    title = "{Machine learning Calabi-Yau hypersurfaces}",
    eprint = "2112.06350",
    archivePrefix = "arXiv",
    primaryClass = "hep-th",
    reportNumber = "QMUL-PH-21-55, LIMS-2021-017",
    doi = "10.1103/PhysRevD.105.066002",
    journal = "Phys. Rev. D",
    volume = "105",
    number = "6",
    pages = "066002",
    year = "2022"
}

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Supervised & unsupervised machine-learning techniques are applied to the database of weighted P4s which admit Calabi-Yau hypersurfaces (arXiv: 2112.06350).

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