Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Photometric light curves classification with machine learning   The Large Synoptic Survey Telescope will complete its survey in 2022 and
produce terabytes of imaging data each night. To work with this massive onset
of data, automated algorithms to classify astronomical light curves are
crucial. Here, we present a method for automated classification of photometric
light curves for a range of astronomical objects. Our approach is based on the
gradient boosting of decision trees, feature extraction and selection, and
augmentation. The solution was developed in the context of The Photometric LSST
Astronomical Time Series Classification Challenge (PLAsTiCC) and achieved one
of the top results in the challenge.

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The categories of this paper are: chem-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: supr-con
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The categories of this paper are: q-bio
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The categories of this paper are: hep-lat
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The categories of this paper are: ao-sci
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The categories of this paper are: quant-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: gr-qc
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The categories of this paper are: adap-org
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The categories of this paper are: acc-phys
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The categories of this paper are: math
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The categories of this paper are: econ
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The categories of this paper are: mtrl-th