An Open Catalog for Supernova Data
James Guillochon, Jerod Parrent, Luke Zoltan Kelley, Raffaella Margutti
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 m ...
etadata, 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.
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Abstract We present the Open Supernova Catalog , an online collection of observations and metadata for presently 36,000+ supernovae and related candidates.
Implementation Evidence Summary
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: 617 GitHub stars.
Reproduction Risks
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Hardware Notes
Expect multi-day setup/compute for meaningful reproduction based on current guidance.
Evidence disclosure
Evidence graph: 3 refs, 3 links.
Utility signals: depth 65/100, grounding 75/100, status medium.
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- jonathansick/awesome-astronomyAdjacentConfidence: MediumStars: 617
Matches contextual method/domain keyword: astronomy
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Research context
388
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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