Galaxy Zoo Supernovae
Galaxy Zoo Supernovae
复制标题
银河动物园超新星
DOI：
10.1111/j.1365-2966.2010.17994.x
复制
发表时间：
2010
影响因子：
4.8
通讯作者：
R. Walters
中科院分区：
文献类型：
--
作者：
Arfon M. Smith;S. Lynn;Mark Sullivan;C. Lintott;P. Nugent;Janos Botyanszki;M. Kasliwal;R. Quimby;S. Bamford;L. Fortson;K. Schawinski;I. Hook;I. Hook;S. Blake;P. Podsiadlowski;Jakob Jonsson;A. Gal;I. Arcavi;D. Howell;D. Howell;J. Bloom;J. Jacobsen;S. Kulkarni;Nicholas M. Law;E. Ofek;R. Walters
本文介绍了一个新的公民科学项目的第一个结果：银河动物园超新星。这个概念验证项目利用公众成员从最新一代的宽视场成像瞬态调查中识别超新星候选者。我们描述了银河动物园超新星的操作和评分模型，并证明了这种新方法的有效性，使用成像数据和瞬变从帕洛玛瞬态工厂（PTF）。我们研究了2010年4月至7月期间收集的结果，在此期间，PTF的近14000颗超新星候选者在几个小时的数据收集内被2500多人分类。我们将公民科学家选择的瞬变与经验丰富的PTF扫描仪识别的瞬变进行了比较，发现协议是显着的- Galaxy Zoo超新星对PTF扫描仪进行了验证，并将PTF在试验期间定位的~130个光谱确认的超新星（SNe）中的93%确定为瞬变（没有假阳性识别）。进一步的分析表明，只有一小部分最低信噪比的探测（r > 19.5）被给予低分数：银河动物园超新星正确地识别了PTF成像数据中所有≥8σ探测的SNe。银河动物园超新星项目直接适用于未来的瞬态搜索，如大型综合巡天望远镜，通过快速识别候选瞬态事件和通过训练和改进现有的机器分类算法。
This paper presents the first results from a new citizen science project: Galaxy Zoo Supernovae. This proof-of-concept project uses members of the public to identify supernova candidates from the latest generation of wide-field imaging transient surveys. We describe the Galaxy Zoo Supernovae operations and scoring model, and demonstrate the effectiveness of this novel method using imaging data and transients from the Palomar Transient Factory (PTF). We examine the results collected over the period 2010 April–July, during which nearly 14 000 supernova candidates from the PTF were classified by more than 2500 individuals within a few hours of data collection. We compare the transients selected by the citizen scientists to those identified by experienced PTF scanners and find the agreement to be remarkable – Galaxy Zoo Supernovae performs comparably to the PTF scanners and identified as transients 93 per cent of the ~130 spectroscopically confirmed supernovae (SNe) that the PTF located during the trial period (with no false positive identifications). Further analysis shows that only a small fraction of the lowest signal-to-noise ratio detections (r > 19.5) are given low scores: Galaxy Zoo Supernovae correctly identifies all SNe with ≥8σ detections in the PTF imaging data. The Galaxy Zoo Supernovae project has direct applicability to future transient searches, such as the Large Synoptic Survey Telescope, by both rapidly identifying candidate transient events and via the training and improvement of existing machine classifier algorithms.