INSPIRE Track 1: Arizona-NOAO Temporal Analysis and Response to Events System (ANTARES)

INSPIRE 轨道 1：亚利桑那州 - NOAO 时间分析和事件响应系统 (ANTARES)

• 批准号: 1344024
• 负责人: Richard Snodgrass
• 金额: $ 73.33万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1344024&HistoricalAwards=false
• 关键词: INSPIRE; Track; Arizona; NOAO; Temporal

This INSPIRE award is partially funded by the Special Projects program of the Division of Astronomical Sciences and the Office of Multidisciplinary Activities, both in the Directorate for Mathematical and Physical Sciences, and by the Information Technology Research and Information Integration and Informatics programs in the Division of Information and Intelligent Systems in the Directorate for Computer and Information Science and Engineering.This project will construct a software infrastructure for filtering and annotating alerts generated by astronomical time-domain surveys, where an alert is a change in an astronomical source when compared with a reference image. Current and future surveys are capable of producing enormous numbers of such alerts: in particular, the planned Large Synoptic Survey Telescope project could produce a million or more every single night for a decade. Within this veritable flood will be a small number of rare and unusual sources with short lifetimes that must be recognized in real time, or else the opportunity for thorough study will be lost.This research will meet that need: the system will include a core flow that quickly annotates alerts with already known details, creating a useful database in its very first pass, followed by a method to derive broad characteristic features that can be used to filter out and divert those events not in need of rapid follow-up. Advanced, more computationally intensive processing can be applied to those that pass the filters, including multiple paths that allow users to select for their particular interests. The final product for this prototype is those alerts that are the most unusual. The system is designed to be flexible, so no alerts are lost and the stream can be tapped by external users at any point for their own processing. Use of the Arizona Machine Experimentation Lab allows for model construction and testing, and for creation of novel, perhaps more efficient, filtering processes. Throughout, decisions are completely driven by astronomical expertise.The study of known but rare objects will transform fields ranging from stellar evolution to growth of active galactic nuclei to the fundamental structure of the Universe, while the discovery and characterization of previously unknown objects could create entirely new fields. Although the prototype will focus on the rarest of objects, ultimately the built-in flexibility and community-generated filtering processes will enable finding items of specific interest to any user. In addition, a system that can take alerts, aggregate ancillary information, and filter to identify specific cases, will be of general use in many fields, from epidemiology to network protection to homeland security and beyond, wherever rapid analysis of new events properly associated with existing information is critical.

该INSPIRE奖的部分资金来自数学与物理科学局天文科学部和多学科活动办公室的特殊项目计划，以及计算机与信息科学与工程局信息与智能系统部的信息技术研究和信息集成与信息学计划。该项目将构建一个软件基础设施，用于过滤和注释天文时域调查产生的警报，其中警报是与参考图像相比天文源的变化。当前和未来的调查能够产生大量这样的警报：特别是，计划中的大型综合巡天望远镜项目可以在十年内每天晚上产生100万或更多的警报。在这真正的洪水中，将有少数稀有和不寻常的资源，它们的生命周期很短，必须实时识别，否则将失去深入研究的机会。这项研究将满足这一需求：该系统将包括一个核心流程，它可以用已知的细节快速注释警报，在第一次通过时创建一个有用的数据库，然后采用一种方法派生出广泛的特征，可用于过滤和转移那些不需要快速跟进的事件。可以对通过过滤器的那些应用更高级、计算更密集的处理，包括允许用户根据自己的特定兴趣选择的多条路径。这个原型的最终产品是那些最不寻常的警报。该系统的设计是灵活的，因此不会丢失警报，外部用户可以在任何时候利用流进行自己的处理。使用亚利桑那机器实验实验室允许模型构建和测试，并创建新颖的，也许更有效的过滤过程。在整个过程中，决策完全由天文学专业知识驱动。对已知但罕见的物体的研究将改变从恒星演化到活动星系核的增长到宇宙基本结构的领域，而对以前未知物体的发现和表征可能会创造全新的领域。虽然原型将专注于最稀有的对象，但最终内置的灵活性和社区生成的过滤过程将使任何用户都能找到特定感兴趣的项目。此外，一个能够接收警报、聚合辅助信息和过滤以识别特定病例的系统，将在许多领域得到普遍应用，从流行病学到网络保护到国土安全等，无论在何处，快速分析与现有信息适当关联的新事件都是至关重要的。