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; 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.

天文学将以8.2米大型Symottic调查望远镜（LSST）的第一光进入PBYTE时代。 LSST配备了宽大相机，覆盖了满月大小的40倍的区域，将有效地成为夜空中最大的电影。 LSST每三晚都会调查整个可见的夜空。这使得对宇宙和太阳系瞬变进行了前所未有的研究：可变恒星，移动太阳系对象，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将使用当今的LSST前体数据集识别每晚一千万个瞬态/可变来源，我们将探索如何通过结合公民科学/众群体和自动化的例程来更好地搜索Haystack中的天文针头，从而最大程度地提高LSST瞬态科学。特别是，我们将重点介绍如何用LaSair Alert Stream Broker概念构成世界上最大的人供电项目集合，以实时有效地通过LSST警报流进行有效地筛选，以实时筛选有效的瞬态来源，以确定值得与其他基于基于地面和太空的望远镜快速随访的瞬态来源。