Real-time data reduction pipeline for the Korea Microlensing Telescope Network (KMTNet) was developed by Korea Astronomy and Space Science Institute (KASI). The main goal of the data reduction pipeline is to find variable objects and to record their light variation from the large amount of observation data of about 200 GB per night per site. To achieve the goal we adopt three strategic implementations: precision pointing of telescope using the cross correlation correction for target fields, realtime data transferring using kernel-level file handling and high speed network, and segment data processing architecture using the Sun-Grid engine. We tested performance of the pipeline using simulated data which represent the similar circumstance to CTIO (Cerro Tololo Inter-American Observatory), and we have found that it takes about eight hours for whole processing of one-night data. Therefore we conclude that the pipeline works without problem in real-time if the network speed is high enough, e.g., as high as in CTIO.

ABSTRACT
1. 서론
2. 고정밀 포인팅관측
3. 자료처리 파이프라인의 구성
4. 모의 영상을 이용한 성능시험
5. 결론 및 토의
참고 문헌

• 김동진(한국천문연구원) | D. -J. KIM (Korea Astronomy and Space Science Institute)
• 이충욱(한국천문연구원) | C. -U. LEE (Korea Astronomy and Space Science Institute)
• 김승리(한국천문연구원) | S. -L. KIM (Korea Astronomy and Space Science Institute)
• 박병곤(한국천문연구원) | B. -G. PARK (Korea Astronomy and Space Science Institute)