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Learning from history: adaptive calibration of 'tilting spine' fiber positioners

Abstract:
This paper discusses a new approach for determining the calibration parameters of independently-actuated optical fibers in multi-object astronomical fiber positioning systems. This work comes from the development of a new type of piezoelectric motor intended to enhance the ‘tilting spine' fiber positioning technology originally created by the Australian Astronomical Observatory. Testing has shown that the motor's performance can vary depending on the fiber's location within its accessible field, meaning that an individual fiber is difficult to calibrate with a one-time routine. Better performance has resulted from constantly updating calibration parameters based on the observed movements of the fiber during normal closed-loop positioning. Over time, location-specific historical data is amassed that can be used to better predict the results of a future fiber movement. This is similar to a technique previously proposed by the Australian Astronomical Observatory, but with the addition of location-specific learning. Results from a prototype system are presented, showing a significant reduction in overall positioning error when using this new approach.
Publication status:
Published
Peer review status:
Peer reviewed

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Publication website:
https://aspbooks.org/a/volumes/article_details?paper_id=38514

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Astrophysics
Oxford college:
St Cross College
Role:
Author
ORCID:
0000-0002-3031-2588


Publisher:
Astronomical Society of the Pacific
Host title:
Astronomical Data Analysis Software and Systems XXV
Pages:
643-646
Series:
Astronomical Society of the Pacific Conference Series
Series number:
512
Publication date:
2017-01-01
Acceptance date:
2015-10-24
Event title:
25th Annual Conference on Astronomical Data Analysis Software and Systems (ADASS XXV)
Event location:
Sydney, Australia
Event website:
https://www.adass.org/pastven.html
Event start date:
2015-10-25
Event end date:
2015-10-29
ISSN:
1050-3390
ISBN:
9781583819081


Language:
English
Keywords:
Pubs id:
917763
Local pid:
pubs:917763
Deposit date:
2021-10-11

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