Determining optimal first-order focal lengths of zoom lenses through Monte Carlo simulations

Maximillian C. Bruggeman; Julie L. Bentley

doi:10.1117/12.2528948

9 September 2019 Determining optimal first-order focal lengths of zoom lenses through Monte Carlo simulations

Maximillian C. Bruggeman, Julie L. Bentley

Proceedings Volume 11106, Zoom Lenses VI; 1110605 (2019) https://doi.org/10.1117/12.2528948
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

Choosing first-order group focal lengths for complex zoom lenses is a problem with too many variables to have a simple analytical solution. Furthermore, the group power balance has a large impact on performance, but there isn’t a well-known way to quickly determine the potential design performance of a given power grouping. This often leads to the choice of poor starting points increasing both the difficulty of the design process and the time to find a solution. To solve this problem (e.g. for a four-group zoom lens) a Monte Carlo like program has been written that first randomly chooses group focal lengths, finds first-order solutions, and checks for zoom group collisions. Then if a solution is valid it creates a lens design which is quickly optimized and evaluated for performance with real ray tracing using CODE V. The program keeps track of all solutions and is then able to automatically sort and identify power groupings with strong performance, simplifying the overall design process. Data collected by the program can also be used to sort solutions for minimum diameter, minimum length, and other design parameters.

Conference Presentation

Citation Download Citation

Maximillian C. Bruggeman and Julie L. Bentley "Determining optimal first-order focal lengths of zoom lenses through Monte Carlo simulations", Proc. SPIE 11106, Zoom Lenses VI, 1110605 (9 September 2019); https://doi.org/10.1117/12.2528948

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