KMTNet Synoptic Survey of Southern Sky II: Data Reduction and Real-Time Transient Detection Pipeline
Mankeun Jeong, Myungshin Im, Joonho Kim, Seo-Won Chang, Sungho Jung, Chung-Uk Lee, Dong-Jin Kim, Bomi Park, Jaewon Lee, Jiseop Shin, Changwan Kim, Gregory S. H. Paek

TL;DR
This paper introduces a comprehensive data reduction and real-time transient detection pipeline for the KMTNet Southern Sky survey, achieving high astrometric and photometric accuracy over a large sky area, and enabling prompt transient identification.
Contribution
The paper presents a new, integrated pipeline for processing KMTNet survey data, including calibration, image stacking, and real-time transient detection, validated with successful gravitational-wave follow-up.
Findings
Achieved sub-pixel astrometric accuracy (< 0.4 arcsec)
Reaching 5-sigma depth of 22-23 AB mag in BVRI bands
Demonstrated effective real-time transient detection in gravitational-wave follow-up
Abstract
We present a comprehensive pipeline developed for the image processing of the KMTNet Synoptic Survey of the Southern Sky (KS4) Data Release 1. This pipeline encompasses several key processes, including data quality assurance, astrometry, photometric zero-point (ZP) calibration, bad pixel masking, image stacking, and difference image analysis (DIA). The astrometric solutions were validated by cross-matching with the Gaia EDR3 catalog, achieving sub-pixel astrometric accuracy (< 0.4 arcsec). To ensure spatial consistency, we divided each image into multiple subsections and confirmed that astrometric accuracy was maintained even at the edges. We performed a two-stage photometric calibration. Initial ZP solutions were computed for each individual image frame using the APASS DR9 and SkyMapper DR3 catalogs. Subsequently, we corrected residual spatial variations in the stacked images using…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Stellar, planetary, and galactic studies · Astronomy and Astrophysical Research
