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The Infrared Imaging Spectrograph (IRIS) for TMT: Final Design Development of the Data Reduction System

机译:用于TMT的红外成像光谱仪(IRIS):数据减少系统的最终设计开发

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IRIS (Infrared Imaging Spectrograph) is the near-infrared (0.81 μm to 2.4 μm) diffraction-limited imager and integral field spectrograph (IFS) designed for the Thirty Meter Telescope (TMT) and the Narrow-Held Infrared Adaptive Optics System (NFIRAOS). The imager will have a 34 arcsec x 34 arcsec field of view with 4 mil-liarcsecond (mas) sampling. The IFS consists of a lenslet array and a slicer, enabling four plate scales from 4 mas to 50 mas, with multiple gratings and filters. We will report the progress on the development of the IRIS Data Reduction System (DRS) in the final design phase. The IRIS DRS is developed in Python with the software architecture based on the James Webb Space Telescope science calibration pipeline (stpipe). We arc developing a library of algorithms as individual Python classes that can be configured independently and bundled into pipelines. The IRIS DRS will interface with the TMT observatory software and will operate in real-time and as a stand-alone public package for offline reduction. The IRIS DRS also includes a C library for readout processing that is used for both real-time processing and post-processing. Lastly, we will discuss development of the IRIS simulation package that simulates raw spectra and imager readout-data from the Teledyne Hawaii-4RG detectors, which are used to test and develop reduction algorithms.
机译:IRIS(红外成像光谱仪)是近红外(0.81μm至2.4μm)衍射限制的成像器和集成场光谱仪(IFS),专为三十米望远镜(TMT)和窄持有的红外自适应光学系统(NFIRAOS) 。成像仪将有一个34个arcsec x 34 arcsec视野,其中4 mil-ildsecond(mas)采样。 IFS由Lenslet阵列和切片机组成,使四个板块从4个MAS到50 MAS,具有多个光栅和过滤器。我们将在最终设计阶段向虹膜数据减少系统(DRS)的发展进展。虹膜DRS在Python中开发,基于James Webb Space望远镜科学校准管道(StPIPE)的软件架构。我们将算法的算法作为单独的Python类进行开发,可以独立配置并捆绑到管道中。 IRIS DRS将与TMT天文台软件接口,并将实时运行,并作为离线减少的独立公共包装。 IRIS DRS还包括用于读出处理的C库,用于实时处理和后处理。最后,我们将讨论虹膜仿真包的开发,用于模拟来自Teledyne Hawaii-4RG探测器的原始光谱和成像读数数据,用于测试和开发还原算法。

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