Starbugs的外场目标分配与路由算法
Field Target Allocation and Routing Algorithms for Starbugs
摘要：
Starbugs是一种机器人设备，它将光纤定位在望远镜的焦平面上，并行操作，以进行高度多路复用的光谱调查。Starbug定位系统的主要优势是它有可能在几分钟内配置数百个目标的区域，与典型的探测器读出时间一致。Starbugs已被选为TAIPAN（通过星云多色分析进行天文成像调查）仪器的定位技术，该仪器是GMT（巨型麦哲伦望远镜）上MANIFEST（多仪器光纤系统）的原型。TAIPAN由一个150光纤的Starbug定位器组成，可以访问位于Siding Spring天文台的AAO英国施密特望远镜的6度视场。对于TAIPAN，优化目标分配和路由算法以提供最快的配置时间是很重要的。我们提出的算法和模拟性能的结果的细节。
英文摘要：
Starbugs are miniaturised robotic devices that position optical fibres over a telescope's focal plane in parallel operation for high multiplex spectroscopic surveys. The key advantage of the Starbug positioning system is its potential to configure fields of hundreds of targets in a few minutes, consistent with typical detector readout times. Starbugs have been selected as the positioning technology for the TAIPAN (Transforming Astronomical Imaging surveys through Polychromatic Analysis of Nebulae) instrument, a prototype for MANIFEST (Many Instrument Fiber System) on the GMT (Giant Magellan Telescope). TAIPAN consists of a 150-fibre Starbug positioner accessing the 6 degree field-of-view of the AAO's UK Schmidt Telescope at Siding Spring Observatory. For TAIPAN, it is important to optimise the target allocation and routing algorithms to provide the fastest configurations times. We present details of the algorithms and results of the simulated performance.
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