Complete coordination of robotic fiber positioners for massive spectroscopic surveys
This work addresses the coordination challenge for robotic fiber positioners in astronomical surveys, which is incremental as it builds on existing methods to improve efficiency.
The paper tackled the problem of coordinating robotic fiber positioners to maximize data collection in spectroscopic surveys, proposing a new artificial potential field method and verifying it through simulations to achieve complete coordination.
Robotic fiber positioners play a vital role in the generation of massive spectroscopic surveys. The more complete a positioners set is coordinated, the more information its corresponding spectrograph receives during an observation. The complete coordination problem of positioners sets is studied in this paper. We first define the local and the global completeness problems and determine their relationship. We then propose a new artificial potential field according to which the convergences of a positioner and its neighboring positioners are cooperatively taken into account. We also discover the required condition for a complete coordination. We finally explain how the modifications of some of the parameters of a positioners set may resolve its incompleteness coordination scenarios. We verify our accomplishments using simulations.