Skip to content

Cite & Contact

Contact

For bug reports, feature requests, and questions, use GitHub Issues.

For broader discussion — use cases, ideas, or community questions — use GitHub Discussions.

For quick questions and community chat, join the Telegram group.

Citing

If you use light-curve in your research, please cite Malanchev et al. 2021. When you use specific components described in their own papers — feature extractors, dm–dt maps, the rainbow multiband model, or the ML embeddings — please also cite the relevant papers linked throughout the documentation.

light-curve package

Malanchev et al. 2021Anomaly Detection in the Zwicky Transient Facility DR3, MNRAS, 502, 5147

@ARTICLE{2021MNRAS.502.5147M,
       author = {{Malanchev}, K.~L. and {Pruzhinskaya}, M.~V. and {Korolev}, V.~S. and {Aleo}, P.~D. and {Kornilov}, M.~V. and {Ishida}, E.~E.~O. and {Krushinsky}, V.~V. and {Mondon}, F. and {Sreejith}, S. and {Volnova}, A.~A. and {Belinski}, A.~A. and {Dodin}, A.~V. and {Tatarnikov}, A.~M. and {Zheltoukhov}, S.~G. and {(The SNAD Team)}},
        title = "{Anomaly detection in the Zwicky Transient Facility DR3}",
      journal = {\mnras},
     keywords = {methods: data analysis, astronomical data bases: miscellaneous, stars: variables: general, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Solar and Stellar Astrophysics},
         year = 2021,
        month = apr,
       volume = {502},
       number = {4},
        pages = {5147-5175},
          doi = {10.1093/mnras/stab316},
archivePrefix = {arXiv},
       eprint = {2012.01419},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.5147M},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Feature extraction performance

Lavrukhina et al. 2023aPerformant Feature Extraction for Photometric Time Series, Mem. S.A.It., 94, 102

@INPROCEEDINGS{2023MmSAI..94c.102L,
       author = {{Lavrukhina}, A. and {Malanchev}, K.},
        title = "{Performant feature extraction for photometric time series}",
     keywords = {Astrophysics - Instrumentation and Methods for Astrophysics},
    booktitle = {Memorie della Societa Astronomica Italiana},
         year = 2023,
       volume = {94},
        month = jan,
        pages = {102},
          doi = {10.36116/MEMSAIT_94N3.2023.102},
archivePrefix = {arXiv},
       eprint = {2302.10837},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023MmSAI..94c.102L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

OtsuSplit

Lavrukhina et al. 2023bAutomatic Detection of Plateau Phases in Light Curves of Variable Stars, RNAAS, 7, 199

@ARTICLE{2023RNAAS...7..199L,
       author = {{Lavrukhina}, Anastasia and {Malanchev}, Konstantin and {Kornilov}, Matwey V.},
        title = "{Automatic Detection of Plateau Phases in Light Curves of Variable Stars}",
      journal = {Research Notes of the American Astronomical Society},
     keywords = {Time series analysis, 1916, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2023,
        month = sep,
       volume = {7},
       number = {9},
          eid = {199},
        pages = {199},
          doi = {10.3847/2515-5172/acfd2d},
archivePrefix = {arXiv},
       eprint = {2309.10174},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023RNAAS...7..199L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

RainbowFit

Russeil et al. 2024RAINBOW: A Colorful Approach to Multipassband Light-Curve Estimation, A&A, 683, A251

@ARTICLE{2024A&A...683A.251R,
       author = {{Russeil}, E. and {Malanchev}, K.~L. and {Aleo}, P.~D. and {Ishida}, E.~E.~O. and {Pruzhinskaya}, M.~V. and {Gangler}, E. and {Lavrukhina}, A.~D. and {Volnova}, A.~A. and {Voloshina}, A. and {Semenikhin}, T. and {Sreejith}, S. and {Kornilov}, M.~V. and {Korolev}, V.~S.},
        title = "{RAINBOW: A colorful approach to multipassband light-curve estimation}",
      journal = {\aap},
     keywords = {methods: data analysis, stars: general, supernovae: general, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Data Analysis, Statistics and Probability},
         year = 2024,
        month = mar,
       volume = {683},
          eid = {A251},
        pages = {A251},
          doi = {10.1051/0004-6361/202348158},
archivePrefix = {arXiv},
       eprint = {2310.02916},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024A&A...683A.251R},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}