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arXiv 1608.01682astro-ph.IM
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用于TMT的红外成像光谱仪(IRIS):数据处理系统

The Infrared Imaging Spectrograph (IRIS) for TMT: Data Reduction System

Gregory Walth, Shelley A. Wright, Jason Weiss, James E. Larkin, Anna M. Moore, Edward L. Chapin, Tuan Do, Jennifer Dunn, Brent Ellerbroek, Kim Gillies, Yutaka H… 展开作者

Gregory Walth, Shelley A. Wright, Jason Weiss, James E. Larkin, Anna M. Moore, Edward L. Chapin, Tuan Do, Jennifer Dunn, Brent Ellerbroek, Kim Gillies, Yutaka Hayano, Chris Johnson, Daniel Marshall, Reed L. Riddle, Luc Simard, Ji Man Sohn, Ryuji Suzuki, James Wincensten

摘要:

IRIS(红外成像光谱仪)是30米望远镜(TMT)的衍射限制第一光仪器,由近红外(0.84至2.4 $μ$ m)成像仪和积分场光谱仪(IFS)组成。IFS利用小透镜阵列和切片器进行空间采样,其将能够在100个不同模式下操作,包括从4毫角秒(mas)到50 mas的四个板尺度与大范围的滤波器和光栅的组合。成像仪的视场为34 $\times$ 34 arcsec $^{2}$,板刻度为4 mas,具有许多可选滤光片。我们提出了初步设计的数据简化系统(DRS)的IRIS,需要解决所有这些观测模式。减少IRIS数据将面临独特的挑战,因为它将在观测序列期间提供成像和光谱数据的实时减少和分析,以及先进的后处理算法。DRS将支持IRIS的三种基本操作模式:减少来自成像器、小透镜IFS和切片器IFS的数据。DRS将使用Python编写,利用可用的开源天文软件包。除了实时数据简化,DRS还将利用实时可视化工具,为天文学家提供目标获取和数据质量的最新评估。quicklook套件将包括用于1D、2D和3D原始图像和缩小图像的可视化工具。我们讨论了DRS和可视化工具的总体要求,以及必要的校准数据,以实现最佳的数据质量,以便在所有宇宙距离尺度上利用科学案例。

英文摘要:

IRIS (InfraRed Imaging Spectrograph) is the diffraction-limited first light instrument for the Thirty Meter Telescope (TMT) that consists of a near-infrared (0.84 to 2.4 $μ$m) imager and integral field spectrograph (IFS). The IFS makes use of a lenslet array and slicer for spatial sampling, which will be able to operate in 100's of different modes, including a combination of four plate scales from 4 milliarcseconds (mas) to 50 mas with a large range of filters and gratings. The imager will have a field of view of 34$\times$34 arcsec$^{2}$ with a plate scale of 4 mas with many selectable filters. We present the preliminary design of the data reduction system (DRS) for IRIS that need to address all of these observing modes. Reduction of IRIS data will have unique challenges since it will provide real-time reduction and analysis of the imaging and spectroscopic data during observational sequences, as well as advanced post-processing algorithms. The DRS will support three basic modes of operation of IRIS; reducing data from the imager, the lenslet IFS, and slicer IFS. The DRS will be written in Python, making use of open-source astronomical packages available. In addition to real-time data reduction, the DRS will utilize real-time visualization tools, providing astronomers with up-to-date evaluation of the target acquisition and data quality. The quicklook suite will include visualization tools for 1D, 2D, and 3D raw and reduced images. We discuss the overall requirements of the DRS and visualization tools, as well as necessary calibration data to achieve optimal data quality in order to exploit science cases across all cosmic distance scales.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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