Collaborative Research: Research and Development on the LSST Calibration System

这项奖励将为两个小组提供资金，以参与大型天气观测望远镜(LSST)的规划。LSST是一个正在考虑的设施，它将解决暗物质和暗能量的性质，这些物质和暗能量被观察到是宇宙的基本组成部分，不符合否则令人震惊的成功的粒子物理标准模型。LSST将以一种独特而强大的方式解决这些问题，并计划成为可见光波段最雄心勃勃的天空调查。它将是一个大型、宽视场、地面系统，旨在获得覆盖天空的多幅图像。这项测量将以精确的天体测量和光度测量为特色，因此将是测量弱透镜和构建瞬变物体光曲线的理想选择，这对于超新星Ia宇宙学来说是理想的。PI是LSST项目的成员，除了他们在LSST校准系统方面的工作外，他们也是LSST超新星和大尺度结构科学合作的成员。他们正在对LSST校准进行模拟，以确定设计和施工的参数，在本奖项的时间框架内，这项工作将过渡到实施校准管道，该管道将在模拟的LSST原始数据和真实天空数据上进行测试。这项活动有几个更广泛的影响。在韦恩州立大学，本科生通过REU/RET计划被纳入研究。在辛辛那提，有一个活跃的QuarkNet计划，让K-12教师参与研究并开发他们在课堂上包含的内容。

This award will provide funds for two groups to participate in the planning for the Large Synoptic Survey Telescope (LSST). The LSST is a facility under consideration that will address the nature of Dark Matter and Dark Energy which are observed to be fundamental components of the Universe that do not fit within the otherwise stunningly successful Standard Model of particle physics. LSST will address these issues in a uniquely powerful way and is planned to be the most ambitious sky survey in the visible band. It will be a large, wide-field, ground-based system designed to obtain multiple images covering the sky. The survey will feature precision astrometry and photometry and thus will be ideal for measurements of weak lensing and the construction of transient object light curves which is ideal for Supernovae Ia cosmology. The PIs are members of the LSST project and besides their work on the LSST calibration system they are also members of the LSST Supernova and Large Scale Structure Science collaborations. They are working on a simulation of the LSST calibration to define parameters for design and construction, and during the time frame of this award this work will transition to implementation of a calibration pipeline which will be tested on both simulated LSST raw data and real sky data. There are several broader impacts of this activity. At Wayne State, undergraduates are included in research via an REU/RET program. At Cincinnati, there is an active QuarkNet program which involves K-12 teachers in research and develops content that they include in their class rooms.