SeqSee: A schema-based approach to spectral sequence visualization
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912538507083776 |
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| author | Beauvais-Feisthauer, Joey Isaksen, Dan |
| author_facet | Beauvais-Feisthauer, Joey Isaksen, Dan |
| contents | We present SeqSee, a software system that addresses spectral sequence visualization through a schema-based approach. By introducing a standardized JSON schema as an intermediate representation, SeqSee decouples the mathematical computations of spectral sequences from their visualizations. We demonstrate the system through a case study of the classical and C-motivic Adams spectral sequences. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_18429 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SeqSee: A schema-based approach to spectral sequence visualization Beauvais-Feisthauer, Joey Isaksen, Dan Algebraic Topology Primary 55-04, Secondary 55T, 18G40 We present SeqSee, a software system that addresses spectral sequence visualization through a schema-based approach. By introducing a standardized JSON schema as an intermediate representation, SeqSee decouples the mathematical computations of spectral sequences from their visualizations. We demonstrate the system through a case study of the classical and C-motivic Adams spectral sequences. |
| title | SeqSee: A schema-based approach to spectral sequence visualization |
| topic | Algebraic Topology Primary 55-04, Secondary 55T, 18G40 |
| url | https://arxiv.org/abs/2501.18429 |