Uncertainty detection for NIF normal pointing beam images

Abdul A. S. Awwal; Clement Law; S. Walter Ferguson

doi:10.1117/12.740149

18 October 2007 Uncertainty detection for NIF normal pointing beam images

Abdul A. S. Awwal, Clement Law, S. Walter Ferguson

Proceedings Volume 6695, Optics and Photonics for Information Processing; 66950R (2007) https://doi.org/10.1117/12.740149
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

The National Ignition Facility at the Lawrence Livermore National Laboratory when completed in 2009, will deliver 192-beams aligned precisely at the center of the target chamber producing extreme energy densities and pressures. Video images of laser beams along the beam path are used by automatic alignment algorithms to determine the position of the beams for alignment purposes. However, noise and other optical effects may affect the accuracy of the calculated beam location. Realistic estimation of the uncertainty is necessary to assure that the beam is monitored within the clear optical path. When the uncertainty is above a certain threshold the automated alignment operation is suspended and control of the beam is transferred to a human operator. This work describes our effort to quantify the uncertainty of measurement of the most common alignment beam.

Citation Download Citation

Abdul A. S. Awwal, Clement Law, and S. Walter Ferguson "Uncertainty detection for NIF normal pointing beam images", Proc. SPIE 6695, Optics and Photonics for Information Processing, 66950R (18 October 2007); https://doi.org/10.1117/12.740149

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available