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Tables of Emission Line Spectra discovered by Active Deep Learning in LAMOST DR2

Authors: Petr Škoda; Ondřej Podsztavek; Pavel Tvrdík;

Tables of Emission Line Spectra discovered by Active Deep Learning in LAMOST DR2

Abstract

Tables of emission line spectra discovered by Active Deep Learning in LAMOST DR2 spectra survey. These are referred to in an article Škoda,Podsztavek&Tvrdík "Active deep learning method for the discovery of objects of interest in large spectroscopic surveys" submitted to Astronomy and Astrophysics. The zipped files contain both CSV and VOTable formats, the HTML version may be opened directly in a browser. A link to an interactive spectrum plot at Strasbourg datacenter (CDS) Vizier archive may be activated from it as well in most common browsers. The detailed description of tables is in attached README file.

Related Organizations
Keywords

astronomical spectra, active learning, deep learning, emission lines, LAMOST

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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!
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