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E. Revsbech

1 paper hereh-index 127 citations4 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • astro-ph.IM1

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most citedSTACCATO: A Novel Solution to Supernova Photometric Classification with Biased Training Sets

42 citations · 42 across the 1 of their papers we have counts for

collaborators

1 paper

astro-ph.IM2017★ 42 cited

STACCATO: A Novel Solution to Supernova Photometric Classification with Biased Training Sets

Esben A. Revsbech, Roberto Trotta, David A. van Dyk

We present a new solution to the problem of classifying Type Ia supernovae from their light curves alone given a spectroscopically confirmed but biased training set, circumventing…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.