Exploring Citizen Science Use Cases with the Lasair transient alert broker

使用 Lasair 瞬态警报代理探索公民科学用例

• 批准号: BB/T018909/1
• 负责人: Stephen Smartt
• 金额: $ 2.54万
• 依托单位: Queen's University Belfast
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FT018909%2F1
• 关键词: Exploring; Citizen; Science; Use; Cases

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.

天文学将随着8.2米大型综合巡天望远镜（LSST）的第一束光进入PB时代。LSST配备了一个覆盖面积为满月40倍的宽视场相机，将有效地拍摄夜空中最大的电影。每隔三天，LSST将观测整个可见夜空。这使得对宇宙和太阳系瞬变的前所未有的研究成为可能：变星，移动的太阳系物体，展示彗星活动的太阳系物体，超新星和其他天体物理爆炸。LSST每晚将识别1000万个瞬态/可变源使用当今的LSST前兆数据集，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瞬态科学，以更好地在大海捞针中寻找天文针。特别是，我们将专注于如何利用Lasair警报流代理概念与Zooniverse平台，该平台拥有世界上最大的人力项目集合，以有效和有效地筛选LSST警报流在真实的时间，以确定值得与其他地基和天基望远镜快速跟进的瞬态源。