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Target-based fiber assignment for large survey spectrographs

机译:大型调查光谱仪的基于目标的光纤分配

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Next generation massive spectroscopic survey projects have to process a massive amount of targets. The preparation of subsequent observations should be feasible in a reasonable amount of time. We present a fast algorithm for target assignment that scales as O{log(n)). Our proposed algorithm follow a target based approach, which enables to assign large number of targets to their positioners quickly and with a very high assignment efficiency. We also discuss additional optimization of the fiber positioning problem to take into account the positioner collision problems and how to use the algorithm for an optimal survey strategy. We apply our target-based algorithm in the context of the MOONS project.
机译:下一代大量光谱调查项目必须处理大量的目标。随后的观察的制备应在合理的时间内是可行的。我们为目标分配提供了一种快速算法,该算法将尺寸为o {log(n))。我们所提出的算法遵循基于目标的方法,这使得能够快速地将大量目标分配给他们的定位器,并且具有非常高的分配效率。我们还讨论了额外的光纤定位问题优化,以考虑定位器碰撞问题以及如何使用该算法进行最佳调查策略。我们在Moons项目的上下文中应用了基于目标的算法。

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