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Auto-guiding Performance from IGRINS Test Observations (Immersion GRating INfrared Spectrograph)
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  • Auto-guiding Performance from IGRINS Test Observations (Immersion GRating INfrared Spectrograph)
저자명
Lee. Hye-In,Pak. Soojong,Le. Huynh Anh N.,Kang. Wonseok,Mace. Gregory,Pavel. Michael,Jaffe. Daniel T.,Lee. Jae-Joon,Kim. Hwihyun
간행물명
천문학회보
권/호정보
2014년|39권 2호|pp.92-92 (1 pages)
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한국천문학회
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정기간행물|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

In astronomical spectroscopy, stable auto-guiding and accurate target centering capabilities are critical to increase the achievement of high observation efficiency and sensitivity. We developed an instrument control software for the Immersion GRating INfrared Spectrograph (IGRINS), a high spectral resolution near-infrared slit spectrograph with (R=40,000). IGRINS is currently installed on the McDonald 2.7 m telescope in Texas, USA. We had successful commissioning observations in March, May, and July of 2014. The role of the IGRINS slit-viewing camera (SVC) is to move the target onto the slit, and to provide feedback about the tracking offsets for the auto-guiding. For a point source, we guide the telescope with the target on the slit. While for an extended source, we use another a guide star in the field offset from the slit. Since the slit blocks the center of the point spread function, it is challenging to fit the Gaussian function to guide and center the target on slit. We developed several center finding algorithms, e.g., 2D-Gaussian Fitting, 1D-Gaussian Fitting, and Center Balancing methods. In this presentation, we show the results of auto-guiding performances with these algorithms.