Soxs AIT：中型望远镜仪器的系统设计范式

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Soxs AIT：中型望远镜仪器的系统设计范式

SOXS AIT: a paradigm for system engineering of a medium class telescope instrument

论文作者

Claudi, Riccardo, Radhakrishnan, Kalyan, Battaini, Federico, Campana, Sergio, Schipani, Pietro, Aliverti, Matteo, Araiza-Duran, Jose Antonio, Baruffolo, Andrea, Ben-Ami, Sagi, Brucalassi, Anna, Capasso, Giulio, Colapietro, Mirko, Cosentino, Rosario, D'Alessio, Francesco, D'Avanzo, Paolo, Di Benedetto, Rosario, D'Orsi, Sergio, Genoni, Matteo, Hershko, Ofir, Kuncarayakti, Hanindyo, Landoni, Marco, Munari, Matteo, Pignata, Giuliano, Rappaport, Michael, Ricci, Davide, Rubin, Adam, Scuderi, Salvo, Smartt, Stephen, Vitali, Fabrizio, Young, David, Sanchez, Ricardo Zanmar, Achren, Jani, Arcavi, Iair, Bruch, Rachel, Cappellaro, Enrico, Della Valle, Massimo, Gal-Yam, Avishay, Causi, Gianluca Li, Marafatto, Luca, Matila, Seppo, Riva, Marco, Salasnich, Bernardo, Stritzinger, Maximilian

论文摘要

Soxs（X-Shooter的儿子）是一款高效率光谱仪，在整个频段上，平均分辨率截止产品为3500，能够同时观察完整的光谱范围350-2000 nm。它由由公共路径系统连接到NTT和校准单元的三个科学臂（UV-VIS光谱仪，NIR光谱仪和采集摄像头）组成。我们概述了从科学要求到技术要求的流程以及子系统的实现。此外，我们概述了用于计划和管理子系系统组装的方法，在接受欧洲仪器（PAE）之前的集成和测试以及将SOX集成到NTT的计划。 Soxs可以用作中等复杂性工具的系统工程的示例，团队的地理位置较大。

SOXS (SOn of X-Shooter) is a high-efficiency spectrograph with a mean Resolution-Slit product of 3500 over the entire band capable of simultaneously observing the complete spectral range 350-2000 nm. It consists of three scientific arms (the UV-VIS Spectrograph, the NIR Spectrograph and the Acquisition Camera) connected by the Common Path system to the NTT, and the Calibration Unit. We present an overview of the flow from the scientific to the technical requirements, and the realization of the sub-systems. Further, we give an overview of the methodologies used for planning and managing the assembly of the sub-systems, their integration and tests before the acceptance of the instrument in Europe (PAE) along with the plan for the integration of SOXS to the NTT. SOXS could be used as an example for the system engineering of an instrument of moderate complexity, with a large geographic spread of the team.

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