Searching for Dwarf Galaxies in deep images of NGC 1291 obtained with KMTNet

  • Byun, Woowon (Korea Astronomy and Space Science Institute) ;
  • Kim, Minjin (Korea Astronomy and Space Science Institute) ;
  • Sheen, Yun-Kyeong (Korea Astronomy and Space Science Institute) ;
  • Park, Hong Soo (Korea Astronomy and Space Science Institute) ;
  • Ho, Luis C. (Kavli Institute for Astronomy and Astrophysics) ;
  • Lee, Joon Hyeop (Korea Astronomy and Space Science Institute) ;
  • Jeong, Hyunjin (Korea Astronomy and Space Science Institute) ;
  • Kim, Sang Chul (Korea Astronomy and Space Science Institute) ;
  • Park, Byeong-Gon (Korea Astronomy and Space Science Institute) ;
  • Seon, Kwang-Il (Korea Astronomy and Space Science Institute) ;
  • Ko, Jongwan (Korea Astronomy and Space Science Institute)
  • 발행 : 2019.04.10

초록

We present newly discovered dwarf galaxy candidates in deep wide-field images of NGC 1291 obtained with KMTNet. We initially identify 20 dwarf galaxy candidates through visual inspection. 13 out of 20 appears to be high priority candidates, according to their central surface brightness (${\mu}_{0,R}{\sim}22.5$ to $26.5mag\;arcsec^{-2}$) and effective radii (350 pc to 1 kpc). Structural and photometric properties of dwarf candidates appear to be consistent with those of ordinary dwarf galaxies in nearby groups and clusters. Using imaging simulations, we demonstrate that our imaging data is complete up to $26mag\;arcsec^{-2}$ with > 70% of the completeness rate. In order to find an optimal way to automate detecting dwarf galaxies in our dataset, we test detection methods by varying parameters in SExtractor. We find that the detection efficiency from the automated method is relatively low and the contamination due to the artifacts is non-negligible. Therefore, it can be only applicable for pre-selection. We plan to conduct the same analysis for deep images of other nearby galaxies obtained through KMTNet Nearby Galaxy Survey (KNGS).

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