Predictor-corrector framework for the sequential assembly of optical systems based on wavefront sensing

Schindlbeck, Christopher; Pape, Christian; Reithmeier, Eduard

doi:10.1364/oe.26.010669

Cited by 12 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A similar approach using wavefront sensing has been presented in. 35,36 It should be noted that adjusting the distance between the inserted lenses and the projection lens can also influence the sensitivity of the method to the lens misalignment and the overall size of the SLB on the camera chip. Further investigation needs to be done to make the method viable.…”

Section: Alignment Of An Optical Systemmentioning

confidence: 99%

Wavefront aberration detection of a structured laser beam using artificial intelligence and its use for alignment

Dusek,

Gayde,

Sulc

2023

Optomechanical Engineering 2023

View full text Add to dashboard Cite

The Structured Laser Beam (SLB) is a pseudo-non-diffracting laser beam that shares many characteristics with a Bessel beam. However, it can theoretically propagate over an unlimited distance while maintaining an extremely low inner core divergence of only 0.01 mrad. This makes it a promising candidate for precise longdistance alignment applications such as the alignment of particle accelerator components at CERN. In this work, a novel method to detect low-order wavefront aberrations induced by an SLB generator, that can affect the referential straightness of the beam, is presented. Our approach is based on the analysis of a single intensity distribution of an SLB. The coefficients of the Zernike polynomials are estimated using artificial intelligence before least-squares fitting is used to refine the result. This approach ensures that the fitting avoids local minima. This method provides a novel way to analyze the optical aberrations induced by the SLB generator and estimate the quality of the beam. Furthermore, it has the potential to be used for the alignment of complex lens systems, where an SLB can serve as a reference optical axis to which the other optical elements can be aligned.

show abstract

Section: Alignment Of An Optical Systemmentioning

confidence: 99%

Wavefront aberration detection of a structured laser beam using artificial intelligence and its use for alignment

Dusek,

Gayde,

Sulc

2023

Optomechanical Engineering 2023

View full text Add to dashboard Cite

show abstract

“…The optical components can then be either manually fine-adjusted via heuristic approaches, 1, 2 look-up tables, 3 or by employing automatic (also: active) alignment approaches that utilize computer-aided feedback. [4][5][6][7][8][9] Typically, a wavefront sensor is employed to monitor misalignments, assess the optical quality of the system, [10][11][12] and to provide feedback for an automated alignment. However, in general, correcting optical components is a tedious and time-consuming task.…”

Section: Introductionmentioning

confidence: 99%

Predictive tolerance bands for the correction-less assembly of optical systems

Schindlbeck

Pape

Reithmeier

2019

Optical Modeling and System Alignment

Self Cite

View full text Add to dashboard Cite

When assembling optical systems, uncertainties of the positioning system and overall mounting tolerances lead to the deterioration of performance due to resulting misaligned optical components. In this paper, we present a novel methodology for the correction-less assembly of optical systems based on predictive tolerance bands. By running a simulation model in parallel to the assembly process, performance predictions can be made during the assembly that take into account the uncertainties of the positioning system. Typically, optical performance can be assessed by a variety of criteria. In this paper, we utilize the Maréchal criterion based on the root mean square (RMS) error as it allows to verify if the optical system is defraction-limited. The extension with Monte Carlo methods enables the prediction of mean values and standard deviations for the chosen metric. This is done for the entire optical system yet to be assembled by integrating uncertainties of the positioning system within the simulation framework. Before assembly, a desired threshold (here the RMS value derived from the Maréchal criterion) can be specified which is predicted and monitored throughout the assembly process. For verification, we analyze a two-lens system in simulation to demonstrate our proposed framework.

show abstract

“…11 In this paper, we show how to improve wavefront predictions on future components to be assembled by following an EKF-based approach to improve the position identification. This can be effortlessly integrated into our previously developed predictor-corrector framework 12 and results will be shown with experimental validation utilizing a beam expander as demonstrator.…”

Section: Introductionmentioning

confidence: 99%

Wavefront predictions for the automated assembly of optical systems

Schindlbeck

Pape

Reithmeier

2018

Optical Design and Testing VIII

Self Cite

View full text Add to dashboard Cite

Industrial assembly of optical systems is still a tedious and cost-intensive task that is mostly dominated by manual labor. Positional fine-adjustment of optical components is pivotal to ensure a desired performance of the optical device at hand. In this paper, we use wavefront predictions to aim for fully automated assembly procedures. Wavefront measurements along with position identification methods can be utilized to continuously update a simulation model which in turn allows for predictions on future wavefront errors. This enables to take according correction measures during the assembly process if a certain wavefront tolerance specification is not met. In order to demonstrate the efficacy of the proposed approach and methods, a beam expander is sequentially assembled. The setup consists of a laser, two bi-convex lenses, and a Shack-Hartmann wavefront sensor and has to satisfy a certain wavefront tolerance specification after its assembly.

show abstract

Predictor-corrector framework for the sequential assembly of optical systems based on wavefront sensing

Cited by 12 publications

References 25 publications

Wavefront aberration detection of a structured laser beam using artificial intelligence and its use for alignment

Wavefront aberration detection of a structured laser beam using artificial intelligence and its use for alignment

Predictive tolerance bands for the correction-less assembly of optical systems

Wavefront predictions for the automated assembly of optical systems

Contact Info

Product

Resources

About