A dataset of 150000 terminal weighted projective spaces
- 1. Imperial College London
- 2. University of Nottingham
Description
Weighted projective spaces with at worst terminal singularities
A dataset of 150000 randomly generated weighted projective spaces with at worst terminal singularities, in dimensions 1 to 10.
The data consists of the plain text files "rank_1_dim_N.txt" where N, which is the dimension of the weighted projective space, is in the range 1 to 10. Each line of the file is a sequence of weights of length N+1. For example, the first line of "rank_1_dim_4.txt" is:
[1,2,5,14,21]
and this corresponds to the 4-dimensional weighted projective space P(1,2,5,14,21).
For details, see the paper:
"Machine learning the dimension of a Fano variety", Tom Coates, Alexander M. Kasprzyk, and Sara Veneziale, Nature Communications, 14:5526 (2023). doi:10.1038/s41467-023-41157-1
Magma code capable of generating this dataset is in the file "generate_rank_1.m".
If you make use of this data, please cite the above paper and the DOI for this data:
doi:10.5281/zenodo.5790079
Files
rank_1_dim_1.txt
Files
(3.9 MB)
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Additional details
Funding
- EPSRC Centre for Doctoral Training in Geometry and Number Theory at the Interface EP/L015234/1
- UK Research and Innovation
- GWT – Gromov-Witten Theory: Mirror Symmetry, Birational Geometry, and the Classification of Fano Manifolds 682603
- European Commission
- Classification, Computation, and Construction: New Methods in Geometry EP/N03189X/1
- UK Research and Innovation
- The Combinatorics of Mirror Symmetry EP/N022513/1
- UK Research and Innovation