Early Robotic Spectra of Supernovae with FLOYDS

FLOYDS 的超新星早期机器人光谱

• 批准号: 1313484
• 负责人: Dale Howell
• 金额: $ 61.4万
• 依托单位: Las Cumbres Observatory Global Telescope Network
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1313484&HistoricalAwards=false
• 关键词: Early; Robotic; Spectra; Supernovae; FLOYDS

This proposal will exploit a capability never before available in astronomy: a pair of robotic spectrographs on 2m telescopes specifically designed to study supernovae, capable of routinely observing targets within minutes to hours of discovery. The average lag between discovery and spectroscopic typing for supernovae is a week to 10 days, making their early behavior largely a mystery. FLOYDS will reduce this lag by an order of magnitude and make some currently exotic probes of supernova progenitors routine. The core effort is to (1) determine an immediate spectroscopic type and redshift of every new supernova discovered with a nondetection within the past week, and (2) obtain high signal-to-noise spectra of supernovae every few days for a subset of the most interesting 150 (100 SNe Ia / 50 core-collapse) targets. With this data we will statistically limit the progenitor channels of SNe Ia but studying unburned material, study shock breakout in core-collapse supernovae, and target faint-fast transients whose origin remains unknown.The entire supernova community will benefit from this proposal, as all supernovae with a nondetection within a week will be typed within a day or two, and the redshifts and types will be announced immediately for public SNe. This will allow earlier lightcurves, spectra, and follow-up from the X-ray to the IR. Most spectra will be made public after one year, but some data will be made public immediately. We will advertise the more photogenic supernovae to our schools program to encourage students to image the supernovae with the LCOGT network (providing real science data), and we will provide associated curricula and textbook materials through SpaceBook, the online textbook at LCOGT.net. LCOGT software and telescope and instrument plans will be made public.

该提案将利用天文学中前所未有的功能：专门设计用于研究超新星的 2m 望远镜上的一对机器人摄谱仪，能够在发现后数分钟到数小时内对目标进行常规观测。超新星的发现和光谱分类之间的平均滞后时间为一周到十天，这使得它们的早期行为在很大程度上成为一个谜。 弗洛伊兹将把这种滞后减少一个数量级，并使一些目前奇异的超新星前身探测器成为常规。 核心工作是 (1) 确定过去一周内未检测到的每颗新超新星的直接光谱类型和红移，以及 (2) 每隔几天获得最有趣的 150 个（100 个 SNe Ia / 50 个核心塌陷）目标子集的超新星的高信噪比光谱。 有了这些数据，我们将在统计上限制超新星 Ia 的前身通道，但研究未燃烧的物质，研究核心塌陷超新星中的激波爆发，并瞄准起源仍未知的微快瞬变。整个超新星社区将从这一提议中受益，因为所有一周内未检测到的超新星将在一两天内进行分类，并且将立即为公共超新星宣布红移和类型。 这将允许更早的光曲线、光谱以及从 X 射线到红外的跟踪。 大多数光谱将在一年后公开，但一些数据将立即公开。 我们将在学校项目中宣传更上镜的超新星，鼓励学生通过LCOGT网络（提供真实的科学数据）拍摄超新星，我们将通过LCOGT.net的在线教科书SpaceBook提供相关课程和教科书材料。 LCOGT软件以及望远镜和仪器计划将公开。