An Open Catalog for Supernova Data
Abstract
Domain fit: AI-adjacent · Paper appears method- or tooling-adjacent to AI workflows with partial ecosystem coverage.
Abstract We present the Open Supernova Catalog , an online collection of observations and metadata for presently 36,000+ supernovae and related candidates. The catalog is freely available on the web ( https://sne.space ), with its main interface having been designed to be a user-friendly, rapidly searchable table accessible on desktop and mobile devices. In addition to the primary catalog table containing supernova metadata, an individual page is generated for each supernova, which displays its available metadata, light curves, and spectra spanning X-ray to radio frequencies. The data presented in the catalog is automatically rebuilt on a daily basis and is constructed by parsing several dozen sources, including the data presented in the supernova literature and from secondary sources such as other web-based catalogs. Individual supernova data is stored in the hierarchical, human- and machine-readable JSON format, with the entirety of each supernova’s data being contained within a single JSON file bearing its name. The setup we present here, which is based on open-source software maintained via git repositories hosted on github , enables anyone to download the entirety of the supernova data set to their home computer in minutes, and to make contributions of their own data back to the catalog via git . As the supernova data set continues to grow, especially in the upcoming era of all-sky synoptic telescopes, which will increase the total number of events by orders of magnitude, we hope that the catalog we have designed will be a valuable tool for the community to analyze both historical and contemporary supernovae.
Results and benchmarks
Abstract We present the Open Supernova Catalog , an online collection of observations and metadata for presently 36,000+ supernovae and related candidates.
Benchmark evidence is limited
Evidence graph: 3 refs, 3 links.
Utility signals: depth 65/100, grounding 75/100, status medium.
Implementation
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Time to first repro: a few days
jonathansick/awesome-astronomy is the closest maintained adjacent implementation (Matches contextual method/domain keyword: astronomy). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 625 GitHub stars.
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Reproduction readiness
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Hardware requirements
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Validation caveat
Repositories and ecosystem
Closest related implementations
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- jonathansick/awesome-astronomy Adjacent · Confidence: Medium · 625 stars
Matches contextual method/domain keyword: astronomy
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Research context
395
Citations
160
References
Tasks
Supernova, Metadata, Table (database), Astronomy, Set (abstract data type), Data file, Data set, Interface (matter)
Methods
None detected
Domains
Physics, Astrophysics, Physics and Astronomy, Astronomy and Astrophysics
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