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Control software for OSIRIS: an infrared integral-field spectrograph for the Keck adaptive optics system

机译:用于Osiris的控制软件:用于keck自适应光学系统的红外积分光谱仪

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OSIRIS is an infrared integral-field spectrograph built for the Keck AO system. Integral-field spectrographs produce very complicated raw data products, and OSIRIS is no exception. OSIRIS produces frames that contain up to 4096 interleaved spectra. In addition to the IFU capabilities of OSIRIS, the instrument is equipped with a parallel-field imager to monitor current AO conditions by imaging an off-axis star and evaluating its PSF. The design of the OSIRIS software was driven by the complexity of the instrument, switching the focus from simply controlling the instrument components to targeting the acquisition of usable scientific data. OSIRIS software integrates the planning, execution, and reduction of observations. An innovation in the OSIRIS control software is the formulation of observations into 'datasets' rather than individual frames. Datasets are functional groups of frames organized by the needs and capabilities of the data reduction software (DRS). A typical OSIRIS dataset consists of dithered spectral observations, coupled with the associated imaging data from the parallel-field AO PSF imager. A Java-based planning tool enables 'sequences' of datasets to be planned and saved both prior to and during observing sessions. An execution client interprets these XML-based files, configures the hardware servers for both OSIRIS and AO, and executes the observations. The DRS, working on one dataset of raw data at a time, produces science-quality data that is ready for analysis. This methodology should lead to superior observational efficiency, decreased likelihood of observer error, minimized reduction time, and therefore, faster scientific discovery.
机译:Osiris是一种为Keck AO系统构建的红外积分光谱仪。积分谱仪产生非常复杂的原始数据产品,奥斯西尔也不例外。 Osiris产生包含多达4096个交错光谱的帧。除了OSIRIS的IFU功能外,仪器还配备了并行场成像器,通过对轴外星进行成像并评估其PSF来监控当前的AO条件。 Osiris软件的设计是由仪器的复杂性驱动的,从简单地控制仪器组件来瞄准可用科学数据的焦点。 Osiris软件集成了计划,执行和减少观察。 Osiris控制软件的创新是将观察的分析到“数据集”而不是单个框架。数据集是通过数据减少软件(DRS)的需求和功能组织的功能组。典型的Osiris数据集包括抖动的光谱观察,与来自并行场AO PSF成像器的相关的成像数据耦合。基于Java的规划工具使得能够在观察会话之前和期间计划并保存的数据集的“序列”。执行客户端解释基于XML的文件,为osiris和AO配置硬件服务器,并执行观察。一次在一个原始数据的数据集上工作的DRS产生了准备分析的科学质量数据。该方法应导致卓越的观察效率,观察者误差的可能性降低,最小化的减少时间,因此更快地进行科学发现。

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