TAOS计划:多望远镜时间序列数据的统计分析
The TAOS Project: Statistical Analysis of Multi-Telescope Time Series Data
摘要:
台湾-美国掩星巡天计划(TAOS)利用四台小型望远镜以5赫兹的频率同时监测多达1000颗恒星的磁场,以探测小型(约1公里)柯伊伯带天体(KBO)的掩星事件。这项调查提出了一些挑战,特别是我们正在寻找的掩星事件非常罕见,通常表现为只有一个或两个连续时间序列测量的轻微通量下降。我们已经开发了一种统计分析技术,搜索多望远镜数据集的同时通量下降,提供了一个强大的假阳性拒绝和计算事件的意义。在本文中,我们详细描述了这种统计技术及其应用的TAOS数据集。
英文摘要:
The Taiwanese-American Occultation Survey (TAOS) monitors fields of up to ~1000 stars at 5 Hz simultaneously with four small telescopes to detect occultation events from small (~1 km) Kuiper Belt Objects (KBOs). The survey presents a number of challenges, in particular the fact that the occultation events we are searching for are extremely rare and are typically manifested as slight flux drops for only one or two consecutive time series measurements. We have developed a statistical analysis technique to search the multi-telescope data set for simultaneous flux drops which provides a robust false positive rejection and calculation of event significance. In this paper, we describe in detail this statistical technique and its application to the TAOS data set.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。