Experiments on wavefront sensing at La Palma

Nicholls, Thomas W., Solomon, Christopher J., Wells, Martyn, Wooder, Nicholas J., Dainty, J.Christopher (1994) Experiments on wavefront sensing at La Palma. In: SPIE Proceedings Series. 2201. pp. 555-561. Spie-Int Soc Optical Engineering ISBN 978-0-8194-1496-0. (doi:10.1117/12.176092) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:48556)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1117/12.176092

Abstract

This paper reports the results of some experiments on wavefront sensing at La Palma, Canary Is., using a Shack-Hartmann sensor. From the Shack-Hartmann data, we derive estimates of the seeing parameter r0 and compare different methods of wavefront reconstruction: a new method of wave front reconstruction based on Bayes' theorem is presented. The design of a Shack-Hartmann sensor for operation at 2 Î¼m on UKIRT is described.

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.1117/12.176092
Uncontrolled keywords:	Bayes theorem, Hartmann-Shack sensors, Wavefront reconstruction, Wavefront sensing, Design, Mathematical models, Wavefronts, Optical sensors
Subjects:	Q Science
Institutional Unit:	Schools > School of Engineering, Mathematics and Physics > Physics and Astronomy
Former Institutional Unit:	Divisions > Division of Natural Sciences > Physics and Astronomy
Depositing User:	Giles Tarver
Date Deposited:	18 May 2015 13:57 UTC
Last Modified:	20 May 2025 09:37 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/48556 (The current URI for this page, for reference purposes)

University of Kent Author Information

Solomon, Christopher J..

Creator's ORCID:	https://orcid.org/0000-0002-5057-4614
CReDIT Contributor Roles:

Depositors only (login required):

Altmetric

Total Views

Total unique views of this page since July 2020. For more details click on the image.