Exploring Citizen Science Use Cases with the Lasair transient alert broker

随着8.2米大型天文观测望远镜(LSST)的第一次亮相，天文学将进入PB时代。配备了一个覆盖满月40倍大小的广域摄像机，LSST将有效地拍摄出夜空中最大的电影。每隔三个晚上，LSST将探测整个可见的夜空。这使得对宇宙和太阳系瞬变的史无前例的研究成为可能：变星、移动的太阳系物体、展示彗星活动的太阳系天体、超新星和其他天体物理爆炸。LSST将使用目前的LSST前兆数据集每晚识别1000万个瞬变/变量源，我们将探索如何通过结合公民科学/众包和自动化例程来最大限度地利用LSST瞬变科学，以更好地在大海捞针中搜索天文指针。特别是，我们将重点介绍如何将Lasair警报流代理概念与Zooniverse平台相结合，以高效、有效地实时筛选LSST警报流，以确定值得其他地面和天基望远镜快速跟进的瞬态源。Zooniverse平台托管着世界上最大的人力项目。

Astronomy will enter the petabyte era with the first light of the 8.2-m Large Synoptic Survey Telescope (LSST). Equipped with a wide-field camera covering an area 40 times the size of the full Moon, LSST will effectively make the largest movie of the night sky. Every three nights LSST will survey the entire visible night sky. This enables an unprecedented study of cosmic and Solar System transients: variable stars, moving Solar System objects, Solar System bodies exhibiting cometary activity, supernovae, and other astrophysical explosions. LSST will identify ten million transient/variable sources per night Using present day LSST precursor datasets, we will explore how we can maximise LSST transient science by combining citizen science/crowd-sourcing and automated routines to better search for the astronomical needle in a haystack. In particular, we will focus on how the Lasair alert stream broker concept can be leveraged with the Zooniverse platform, which hosts the largest collection of people-powered projects in the world, to efficiently and effectively sift through the LSST alert stream in real time to identify transient sources worthy of rapid follow-up with other ground-based and space-based telescopes.