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Claim

Machine Learning the Tip of the Red Giant Branch

Abstract

# Reproduction package for the Paper "Machine Learning the Tip of the Red Giant Branch" ## Authors Mitchell T. Dennis (mtde226@hawaii.edu) Jeremy Sakstein (sakstein@hawaii.edu) ## Software MESA version 15140 (http://mesa.sourceforge.net/) MESASDK version 20210401 (http://www.astro.wisc.edu/~townsend/static.php?ref=mesasdk) GFORTRAN GCC version 9.2.0 ## Citation Policy If you use any of this reproduction package for independent work, we recommend you cite the following papers: * Astrophys. J. Suppl. 192, 3 (2011) * Astrophys. J. Suppl. 208, 4 (2013) * Astrophys. J. Suppl. 234, 34 (2018) * Astrophys. J. Suppl. 243, 10 (2019) For more information, see the Readme.md

Related Organizations
Keywords

Machine Learning, Stellar Evolution

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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
32
21