IMSNG: Automatic Data Reduction Pipeline gppy for heterogeneous telescopes

  • Paek, Gregory S.H. (Astronomy Program, Department of Physics & Astronomy, Seoul National University) ;
  • Im, Myungshin (Astronomy Program, Department of Physics & Astronomy, Seoul National University) ;
  • Chang, Seo-won (Astronomy Program, Department of Physics & Astronomy, Seoul National University) ;
  • Choi, Changsu (Astronomy Program, Department of Physics & Astronomy, Seoul National University) ;
  • Lim, Gu (Astronomy Program, Department of Physics & Astronomy, Seoul National University) ;
  • Kim, Sophia (Astronomy Program, Department of Physics & Astronomy, Seoul National University) ;
  • Jung, Mankeun (Astronomy Program, Department of Physics & Astronomy, Seoul National University) ;
  • Hwang, Sungyong (Astronomy Program, Department of Physics & Astronomy, Seoul National University) ;
  • Kim, Joonho (Korea Astronomy and Space Science Institute) ;
  • Sung, Hyun-il (Astronomy Program, Department of Physics & Astronomy, Seoul National University)
  • Published : 2021.10.13

Abstract

Although the era of very large telescopes has come, small telescopes still have advantages for fast follow-up and long-term monitoring observation. Intensive monitoring survey of nearby galaxies (IMSNG) aims to understand the nature of the supernovae (SNe) by catching the early light curve from them with the network of small telescopes from 0.4-m to 1.0-m all around the world. To achieve the scientific goals with heterogeneous facilities, three factors are important. First, automatic processes as soon as data is uploaded will increase efficiency and shorten the time. Second, searching for transients is necessary to deal with newly emerged transients for fast follow-up observation. Finally, the Integrated process for different telescopes gives a homogeneous output, which will eventually make connections with the database easy. Here, we introduce the integrated pipeline, 'gppy' based on Python, for more than 10 facilities having various configurations and its performance. Processes consist of image pre-process, photometry, image align, image combine, photometry, and transient search. In the connected database, homogeneous output is summarized and analyzed additionally to filter transient candidates with light curves. This talk will suggest the future work to improve the performance and usability on the other projects, gravitational wave electromagnetic wave counterpart in Korea Observatory (GECKO), and small telescope network of Korea (SOMANGNET).

Keywords