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摘要
We describe ZStreak, a semi-real-time pipeline specialized in detecting small, fast-moving, near-Earth asteroids (NEAs), which is currently operating on the data from the newly commissioned Zwicky Transient Facility (ZTF) survey. Based on a prototype originally developed by Waszczak et al. (2017) for the Palomar Transient Factory (PTF), the predecessor of ZTF, ZStreak features an improved machine-learning model that can cope with the 10×data rate increment between PTF and ZTF. Since its first discovery on 2018 February 5 (2018 CL), ZTF/ ZStreak has discovered 45 confirmed new NEAs over a total of 232 observable nights until 2018 December 31. Most of the discoveries are small NEAs, with diameters less than ∼100m. By analyzing the discovery circumstances, we find that objects having the first to last detection time interval under 2 hr are at risk of being lost. We will further improve real-time follow-up capabilities, and work on suppressing false positives using deep learning.
原文 | ???core.languages.en_GB??? |
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文章編號 | 078002 |
期刊 | Publications of the Astronomical Society of the Pacific |
卷 | 131 |
發行號 | 1001 |
DOIs | |
出版狀態 | 已出版 - 7月 2019 |
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