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arXiv 0902.0588astro-ph.IM
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MUSE的高级数据简化技术

Advanced Data Reduction Techniques for MUSE

Peter M. Weilbacher, Joris Gerssen, Martin M. Roth, Petra Boehm, Arlette Pecontal-Rousset

摘要:

第二代VLT仪器MUSE将成为世界上最大的积分场摄谱仪。它将是一种AO辅助仪器,在单次曝光中,覆盖465至930 nm的波长范围,在1'x1'视场内的平均分辨率为3000,空间采样为0.2“。数据的复杂性和数据的速率对该仪器的数据处理提出了挑战。我们将概述为MUSE设计的数据处理方案。具体来说,我们将只使用一个从原始数据到简化数据产品的重新排序步骤。这使我们能够提高数据质量,准确地传播方差,并最大限度地减少伪影和相关噪声的传播。这种方法需要改变标准方式,其中执行波长校准和天空相减等缩减步骤,但可以扩展到包括多次曝光的组合。

英文摘要:

MUSE, a 2nd generation VLT instrument, will become the world's largest integral field spectrograph. It will be an AO assisted instrument which, in a single exposure, covers the wavelength range from 465 to 930 nm with an average resolution of 3000 over a field of view of 1'x1' with 0.2'' spatial sampling. Both the complexity and the rate of the data are a challenge for the data processing of this instrument. We will give an overview of the data processing scheme that has been designed for MUSE. Specifically, we will use only a single resampling step from the raw data to the reduced data product. This allows us to improve data quality, accurately propagate variance, and minimize spreading of artifacts and correlated noise. This approach necessitates changes to the standard way in which reduction steps like wavelength calibration and sky subtraction are carried out, but can be expanded to include combination of multiple exposures.

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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