The LSST operations simulator
The LSST operations simulator
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LSST操作模拟器
DOI：
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发表时间：
2005
期刊：
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通讯作者：
S. Ridgway
中科院分区：
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作者：
F. Delgado;A. Saha;Srinivasan Chandrasekharan;K. Cook;C. Petry;S. Ridgway
大型综合巡天望远镜（LSST; http://www.lsst.org）的操作模拟器允许遵循明确的科学驱动的观测规范、模式、方案和优先级来规划LSST观测，同时针对由望远镜设施的设计特定的光机械系统性能、现场特定条件以及额外的计划和计划外停机时间所施加的约束进行优化。它有一个详细的模型来模拟外部条件与现场的真实的天气历史数据，一个完全参数化的运动学模型的望远镜，摄像机和圆顶的内部条件，并作为一个原型的自动调度程序的真实的时间调查业务与LSST。模拟器是一个重要的工具，从项目早期起就一直是关键，帮助验证天文台的设计参数是否符合科学要求和特定科学计划的目标。模拟运行记录所有观测的特征（例如，历元、天空位置、视宁度、天空亮度），可以出于任何期望的目的进行查询。观测历史的衍生信息分析是用一个称为模拟调查分析和报告工具（SSTAR）的分析包进行的。优点函数和指标旨在检查特定模拟运行对于几种不同的科学应用的适合程度。目前正在开发一种软件，以便利用这一套不断增加的指标，有效地比较各种科学应用的不同调查战略的效力。最近对代码的重组使我们能够：a）使用“前瞻”策略，避免由于观察约束而无法完成的节奏序列;和B）检查替代优化策略，以便可以识别和使用最有效的调度算法：即使是百分之几的效率提高也会创造大量的科学机会。增强的模拟器被用来评估所需的观测节奏的可行性，研究不断变化的科学计划优先级的影响，并协助LSST系统的性能裕度调查。
The Operations Simulator for the Large Synoptic Survey Telescope (LSST; http://www.lsst.org) allows the planning of LSST observations that obey explicit science driven observing specifications, patterns, schema, and priorities, while optimizing against the constraints placed by design-specific opto-mechanical system performance of the telescope facility, site specific conditions as well as additional scheduled and unscheduled downtime. It has a detailed model to simulate the external conditions with real weather history data from the site, a fully parameterized kinematic model for the internal conditions of the telescope, camera and dome, and serves as a prototype for an automatic scheduler for the real time survey operations with LSST. The Simulator is a critical tool that has been key since very early in the project, to help validate the design parameters of the observatory against the science requirements and the goals from specific science programs. A simulation run records the characteristics of all observations (e.g., epoch, sky position, seeing, sky brightness) in a MySQL database, which can be queried for any desired purpose. Derivative information digests of the observing history are made with an analysis package called Simulation Survey Tools for Analysis and Reporting (SSTAR). Merit functions and metrics have been designed to examine how suitable a specific simulation run is for several different science applications. Software to efficiently compare the efficacy of different survey strategies for a wide variety of science applications using such a growing set of metrics is under development. A recent restructuring of the code allows us to a) use "look-ahead" strategies that avoid cadence sequences that cannot be completed due to observing constraints; and b) examine alternate optimization strategies, so that the most efficient scheduling algorithm(s) can be identified and used: even few-percent efficiency gains will create substantive scientific opportunity. The enhanced simulator is being used to assess the feasibility of desired observing cadences, study the impact of changing science program priorities and assist with performance margin investigations of the LSST system.