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Separating stars from quasars: Machine learning investigation using photometric data

  • Published:2019-10 Issue: Volume:29 Page:100313
  • ISSN:2213-1337
  • Container-title:Astronomy and Computing
  • language:en
  • Short-container-title:Astronomy and Computing

Author:

Makhija S.,Saha S.,Basak S.,Das M.

Funder

Science and Engineering Research Board (SERB)-Department of Science and Technology (DST), Government of India

Publisher

Elsevier BV

Subject

Computer Science Applications,Astronomy and Astrophysics,Space and Planetary Science

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Galaxy Spectra neural Network (GaSNet). II. Using deep learning for spectral classification and redshift predictions;Monthly Notices of the Royal Astronomical Society;2024-06-26

2. Stacking Ensemble Model for Celestial Object Classification: Galaxies, Stars and Quasars;2023 Seventh International Conference on Image Information Processing (ICIIP);2023-11-22

3. A Multimodal Transfer Learning Method for Classifying Images of Celestial Point Sources;Publications of the Astronomical Society of the Pacific;2023-10-01

4. Automated detection of double nuclei galaxies using Gothic and the discovery of a large sample of dual AGN;Monthly Notices of the Royal Astronomical Society;2023-07-24

5. Photometric classification of quasars from ALHAMBRA survey using random forest;Astronomy & Astrophysics;2023-05
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