MOONS fibre positioner control and path planning software

Beard, S. M.; Willemse, Bart; Watson, Stephen; Atkinson, David; Cheetham, Pablo Gutierrez; Franzetti, P.; Nix, Johannes

doi:10.1117/12.2629239

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…For a given number of positioners an increased reach results in more potential clashes (figure 6) and more potential configurations. Existing routing algorithms require non-negligible computing time [1], and result in solutions that are not 100% efficient. This means that not every fibre is assigned to an object, or not every high priority object is assigned a fibre.…”

Section: Object Selection and Routingmentioning

confidence: 99%

ETFP: a new fibre positioner concept for future Multi-Object Spectrographs

Louth

Watson

González

2022

Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation V

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Spectroscopy is a primary tool of ground-based and space-borne astronomy. It yields unique astrophysical insights across all contemporary astronomy, from mapping the chemical composition and radial velocities of stars in the Milky Way and nearby galaxies, to accurate redshifts and studies of the physical properties of distant galaxies (internal motions, stellar populations, outflows, etc) over cosmic time.Multi-object spectroscopic surveys have become an essential tool to measure such properties across sufficiently large volumes to draw statistically significant conclusions. A key challenge in the design and construction of MOS instruments is the fibre positioning system. Here we present a new concept for a telescopic fibre positioner (the Edinburgh Telescopic Fibre Positioner: ETFP) in either a theta-r or theta-phi-r configuration. The positioner concept, being developed at UKATC, builds up from the technology of VLT-MOONS and VLT-KMOS and aims to provide a fast field reconfiguration, close packing for high-density targeting, and reliable fibre allocation to maximise the efficiency of observations for future multi-object spectrograph (MOS) facilities.

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Section: Object Selection and Routingmentioning

confidence: 99%

ETFP: a new fibre positioner concept for future Multi-Object Spectrographs

Louth

Watson

González

2022

Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation V

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Real-time Collision Detection of Dual Rotating Arm Positioner for Multi-object Fiber-fed Spectrographs

Zhou 周,

Zhang 张,

Li 栗

et al. 2024

PASP

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Multi-object fiber spectroscopic survey is pivotal to astronomical research. Most spectroscopic telescopes are equipped with thousands of robotic fiber positioners designed to observe multiple celestial objects simultaneously. Despite this advancement, the risk of potential collisions between adjacent positioners, due to overlapping work zones, poses a significant challenge that could limit the telescope’s observing efficiency. In this study, we present a method based on deep learning to detect the collision of dual rotating arm positioner using the front-illuminated image from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). We employ a deep learning detection model based on the YOLOv5 object detection algorithm to identify and locate the collision zones. Furthermore, the BiSeNet image segmentation algorithm is applied to determine the positioners within these collision zones, ultimately identifying the collided positioners. Experimental results reveal a precision and recall of 90.20% and 85.44% respectively for our method. To verify our results further, we conducted a correlation analysis on the spectral flux in LAMOST survey data via direct measurement. The collision types of the LAMOST positioners are also analyzed, which provides guidance for optimizing the anti-collision algorithm in the future.

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Motion Planning for the Robotic Fiber Positioners of the Large Sky Area Multiobject Fiber Spectrocopy Telescope

Zhang,

Chen,

Wang

et al. 2024

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The Large Sky Area Multi-Object Fiber Spectroscopy Telescope (LAMOST) is one of the most effective multiobject spectroscopic instruments. Its survey efficiency is guaranteed by simultaneously positioning multiple fibers via 4000 robotic fiber positioners (RFPs). With the further updates to LAMOST, the new-generation RFPs will be smaller, and the number of RFPs will increase to 5000. The RFPs are densely packed with shared working space. Thus, they may collide with each other, leading to them damaged and reducing the survey speed. In this study, we propose a new motion planning algorithm that prevents the collision of RFPs. To simplify the collision avoidance problem, we transform the motion planning process from a dynamic one into a static one by selecting one of the RFPs in each collision pair as the waiting robot. Accordingly, we design a method for choosing the waiting robot, and use a rapidly exploring random tree to plan a collision-free path for the waiting robot. However, there may be blocks between the waiting robots and their neighbors. Therefore, we also design methods to resolve these blocks. Simulations suggest that the proposed algorithm can prevent 98.4% of the collisions. About 99.9% of the positioners can reach their targets without collisions. Although developed for LAMOST, we believe that our algorithm can also be used for other instruments with equal-arm theta-phi positioners, such as the Dark Energy Spectroscopic Instrument.

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MOONS fibre positioner control and path planning software

Abstract: This is a copy of the published version, or version of record, available on the publisher's website. This version does not track changes, errata, or withdrawals on the publisher's site.

Cited by 3 publications

References 8 publications

ETFP: a new fibre positioner concept for future Multi-Object Spectrographs

ETFP: a new fibre positioner concept for future Multi-Object Spectrographs

Real-time Collision Detection of Dual Rotating Arm Positioner for Multi-object Fiber-fed Spectrographs

Motion Planning for the Robotic Fiber Positioners of the Large Sky Area Multiobject Fiber Spectrocopy Telescope

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