宽视场摄谱仪（WiFeS）
The Wide Field Spectrograph (WiFeS)
摘要：
本文介绍了澳大利亚国立大学天文与天体物理研究院（RSAA）正在为赛丁泉天文台（Siding Spring Observatory）的2.3米望远镜建造的宽视场摄谱仪（WiFeS）。WiFeS是一款功能强大的积分场、双光束、同心、图像切片摄谱仪，旨在提供出色的吞吐量、波长稳定性、分光光度性能和卓越的图像质量，以及整个320-950 nm波长区域的宽光谱覆盖范围。它提供25 x38 arcsec。0.5 arcsec。沿着25个38 × 1角秒狭缝中的每一个进行采样。输出格式经过优化，以匹配两台相机中的4096 x4096像素CCD探测器，这两台相机分别针对光谱的蓝色和红色端进行了优化。一个“交错的随机和洗牌”的过程将被应用于允许量子噪声限制的天空减法。使用VPH光栅，提供3000和7000的光谱分辨率。在R=3000的单次曝光和R=7000模式的两次曝光中，可覆盖整个光谱范围。透射涂层光学器件、VPH光栅和优化的反射镜涂层的使用确保了在宽光谱范围内的吞吐量（包括望远镜大气层和探测器）> 30%。同心图像切片器设计确保了整个视场的出色和均匀的图像质量。为了最大限度地提高科学回报，整个仪器被配置为远程观测，管道数据简化和校准图像库的积累。
英文摘要：
This paper describes the Wide Field Spectrograph (WiFeS) under construction at the Research School of Astronomy and Astrophysics (RSAA) of the Australian National University (ANU) for the ANU 2.3m telescope at the Siding Spring Observatory. WiFeS is a powerful integral field, double-beam, concentric, image-slicing spectrograph designed to deliver excellent thoughput, wavelength stability, spectrophotometric performance and superb image quality along with wide spectral coverage throughout the 320-950 nm wavelength region. It provides a 25x38 arcsec. field with 0.5 arcsec. sampling along each of twenty five 38X1 arcsec slitlets. The output format is optimized to match the 4096x4096 pixel CCD detectors in each of two cameras individually optimized for the blue and the red ends of the spectrum, respectively. A process of "interleaved nod-and-shuffle" will be applied to permit quantum noise-limited sky subtraction. Using VPH gratings, spectral resolutions of 3000 and 7000 are provided. The full spectral range is covered in a single exposure at R=3000, and in two exposures in the R=7000 mode. The use of transmissive coated optics, VPH gratings and optimized mirror coatings ensures a throughput (including telescope atmosphere and detector) > 30% over a wide spectral range. The concentric image-slicer design ensures an excellent and uniform image quality across the full field. To maximize scientific return, the whole instrument is configured for remote observing, pipeline data reduction, and the accumulation of calibration image libraries.
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