Optimizing a magnitude-limited spectroscopic training sample for photometric classification of supernovae

Research article (Monthly Notices of the Royal Astronomical Society, 2021) · cited 11× · AI/ML
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Optimizing a magnitude-limited spectroscopic training sample for photometric classification of supernovae

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Optimizing a magnitude-limited spectroscopic training sample for photometric classification of supernovae is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimizing a magnitude-limited spectroscopic training sample for photometric classification of supernovae. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-a-magnitude-limited-spectroscopic-training-sample-for-photometric-classification-of-supernovae
MLA “Optimizing a magnitude-limited spectroscopic training sample for photometric classification of supernovae.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-a-magnitude-limited-spectroscopic-training-sample-for-photometric-classification-of-supernovae.
BibTeX @misc{4ortxyz_optimizing-a-magnitude-limited-spectroscopic-training-sample-for-photometric-classification-of-supernovae_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing a magnitude-limited spectroscopic training sample for photometric classification of supernovae}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-a-magnitude-limited-spectroscopic-training-sample-for-photometric-classification-of-supernovae}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing a magnitude-limited spectroscopic training sample for photometric classification of supernovae — https://4ort.xyz/entity/optimizing-a-magnitude-limited-spectroscopic-training-sample-for-photometric-classification-of-supernovae (retrieved 2026-05-24)

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