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Title: Statistical Distributions from Lens Manufacturing Data

Abstract

Optical designers assume a mathematically derived statistical distribution of the relevant design parameters for their Monte Carlo tolerancing simulation. Presented are measured distributions using lens manufacturing data to better inform the decision-making process.

Authors:
 [1];  [2];  [1];  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Optimax Systems
Publication Date:
Research Org.:
Nevada Test Site/National Security Technologies, LLC (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Programs (DP) (NA-10)
OSTI Identifier:
1246344
Report Number(s):
DOE/NV/25946-2133
DOE Contract Number:  
DE-AC52-06NA25946
Resource Type:
Conference
Journal Name:
Proc. SPIE 9195, Optical System Alignment, Tolerancing, and Verification VIII, 919507 (19 September 2014); doi: 10.1117/12.2064582
Additional Journal Information:
Journal Volume: 9195; Conference: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference on Optics and Photonics 2014 San Diego, CA August 17 - 21, 2014 http://spie.org/conferences-and-exhibitions/past-events/past-conferences-and-exhibitions/past-events/optics-and-photonics/optics-and-photonics-2014
Country of Publication:
United States
Language:
English
Subject:
optical design, statistics, optomechanical, manufacturing, distribution, nonparametric, tolerance

Citation Formats

Kaufman, Morris I., Light, Brandon B., Malone, Robert M., and Gregory, Michael K. Statistical Distributions from Lens Manufacturing Data. United States: N. p., 2014. Web.
Kaufman, Morris I., Light, Brandon B., Malone, Robert M., & Gregory, Michael K. Statistical Distributions from Lens Manufacturing Data. United States.
Kaufman, Morris I., Light, Brandon B., Malone, Robert M., and Gregory, Michael K. Fri . "Statistical Distributions from Lens Manufacturing Data". United States. https://www.osti.gov/servlets/purl/1246344.
@article{osti_1246344,
title = {Statistical Distributions from Lens Manufacturing Data},
author = {Kaufman, Morris I. and Light, Brandon B. and Malone, Robert M. and Gregory, Michael K.},
abstractNote = {Optical designers assume a mathematically derived statistical distribution of the relevant design parameters for their Monte Carlo tolerancing simulation. Presented are measured distributions using lens manufacturing data to better inform the decision-making process.},
doi = {},
journal = {Proc. SPIE 9195, Optical System Alignment, Tolerancing, and Verification VIII, 919507 (19 September 2014); doi: 10.1117/12.2064582},
number = ,
volume = 9195,
place = {United States},
year = {2014},
month = {9}
}

Conference:
Other availability
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