论文标题
启动VASCO公民科学项目
Launching the VASCO citizen science project
论文作者
论文摘要
在一个世纪的观察结果(VASCO)项目中,消失的和出现的来源调查了70年间隔的天文调查,以寻找异常和异国情调的瞬变。我们在此提出了VASCO公民科学项目,该项目可以确定由三种不同方法驱动的异常候选人:假设,探索性和机器学习,这对于SETI搜索特别有用。为了应对大数据挑战,Vasco结合了三种方法:虚拟观测站,用户辅助机器学习和通过公民科学的视觉检查。在这里,我们演示了公民科学项目及其改进的候选选择过程,并提供了一份进度报告。我们还提出了由主要位于阿尔及利亚,喀麦隆和尼日利亚的业余天文学协会领导的VASCO公民科学网络。在写作的那一刻,公民科学项目已经仔细检查了数据中的15,593个候选图像对(约10%的候选人),并迄今已确定了798个被归类为“消失”的物体。最有趣的候选人将进行光学和红外成像,以及最有效的射电望远镜的观察结果。
The Vanishing & Appearing Sources during a Century of Observations (VASCO) project investigates astronomical surveys spanning a time interval of 70 years, searching for unusual and exotic transients. We present herein the VASCO Citizen Science Project, which can identify unusual candidates driven by three different approaches: hypothesis, exploratory, and machine learning, which is particularly useful for SETI searches. To address the big data challenge, VASCO combines three methods: the Virtual Observatory, user-aided machine learning, and visual inspection through citizen science. Here we demonstrate the citizen science project and its improved candidate selection process, and we give a progress report. We also present the VASCO citizen science network led by amateur astronomy associations mainly located in Algeria, Cameroon, and Nigeria. At the moment of writing, the citizen science project has carefully examined 15,593 candidate image pairs in the data (ca. 10% of the candidates), and has so far identified 798 objects classified as "vanished". The most interesting candidates will be followed up with optical and infrared imaging, together with the observations by the most potent radio telescopes.