首页> 外文会议>Conference on Survey and Other Telescope Technologies and Discoveries; Aug 27-28, 2002; Waikoloa, Hawaii, USA >Real-time Time-variability Analysis of GB to TB Datasets: Experience from SuperMacho and Supernova projects at NOAO/CTIO
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Real-time Time-variability Analysis of GB to TB Datasets: Experience from SuperMacho and Supernova projects at NOAO/CTIO

机译:GB到TB数据集的实时时变分析:NOAO / CTIO的SuperMacho和Supernova项目的经验

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摘要

The era of large survey datasets has arrived, and the era of large survey telescope projects is upon us. Many of these new telescope projects will not only produce large datasets, they will produce datasets that require realtime astronomical analysis, including object detection, photometry, and classification. These datasets promise to open new horizons in the exploration of the time domain in astrophysical systems on large scales. But to fulfill this promise, the projects must design and develop data management systems on a much larger scale (many Terabytes per day continuously) than has previously been achieved in astronomy. Working together, NOAO and the University of Washington are developing prototype pipeline systems to explore the issues involved in real-time time-variability analysis. These efforts are not simply theoretical exercises, but rather are driven by NOAO Survey programs which are generating large data flows. Our survey projects provide a science-driven testbed of data management strategies needed for future initiatives such as the Large Synoptic Survey Telescope and other large-scale astronomical data production systems.
机译:大型测量数据集的时代已经到来,大型测量望远镜项目的时代已经到来。许多这些新的望远镜项目不仅会产生大型数据集,还会产生需要实时天文分析的数据集,包括目标检测,测光和分类。这些数据集有望在天文学系统的大规模时域探索中开辟新的视野。但是要实现这一承诺,这些项目必须设计和开发比以前在天文学上要大得多的规模(每天连续数TB)的数据管理系统。 NOAO和华盛顿大学共同合作,正在开发原型管道系统,以探索实时时变分析中涉及的问题。这些努力不仅仅是简单的理论练习,而是由产生大量数据流的NOAO调查计划推动的。我们的调查项目为未来计划(例如大型天气观测望远镜和其他大型天文数据生产系统)所需的数据管理策略提供了科学驱动的测试平台。

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