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Starbugs field-allocation simulations for FOBOS

机译:FoBOS的星球场地分配模拟

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摘要

Starbugs are robotic devices that have the capability to simultaneously position many optical fibers, over the telescope's focal plane to carry-out efficient spectroscopic surveys. The conceptual design of FOBOS, the Fiber-Optic Broadband Optical Spectrograph, deploys Starbugs at the Keck Ⅱ focal plane to enable high-multiplex, deep spectroscopic follow-up of upcoming deep-imaging surveys. FOBOS requires configured fields of many-hundreds of targets (significantly more than TAIPAN and MANIFEST instruments) in a few minutes, consistent with typical detector readout times. FOBOS also requires the inclusion of different optical payloads, like integral field-units, calibration bundles, coherent imaging bundles and perhaps wavefront sensors. Therefore, with these new challenges, it is important to optimize the target allocation and routing algorithms for Starbugs that yield the best configuration times and science outcomes for FOBOS. We provide a description of the Starbug parameters required by the FOBOS conceptual design, perform relevant allocation simulations, and discuss their performance.
机译:星形是机器人装置,其能够在望远镜的焦平面上同时定位许多光纤,以进行高效的光谱调查。 FoBOS,光纤宽带光谱仪的概念设计,在KeckⅡ焦平面下部署星巴,以实现即将到来的深层成像调查的高复用,深度光谱跟进。 FoBOS需要在几分钟内完成数百个目标(明显多于凼仔和清单仪器)的字段,这与典型的探测器读数次数一致。 Fobos还需要包含不同的光学有效载荷,如整体场单元,校准束,相干成像束和可能波前传感器。因此,通过这些新的挑战,很重要的是优化星际的目标分配和路由算法,以产生最佳的配置时间和Fobos的科学结果。我们提供Fobos概念设计所需的星语参数,执行相关分配模拟,并讨论其性能。

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