## 1.

## Introduction

The development and design of optical systems can be enhanced considerably by using simulation and design tools. Thereby several challenges occur since all components of the system have to be modeled with sufficient accuracy. This includes light sources, optical components and detector functions. Often conventional optical components, such as lenses and prisms, are combined with micro- and nanostructured components. Depending on the application several physical effects including polarization, refraction and diffraction, spatial and temporal coherence may have to be taken into account. The sizes of structures appearing in the system strongly influence the performance of different numerical simulation techniques. The ultimate goal is to solve Maxwell’s equations for the system at hand. However, general solvers as for example Finite Element Methods are not feasible with respect to the required computer resources in most cases due to the lateral extension of the system. On the other hand, classical ray tracing is fast but is not accurate enough for the simulation of most micro- and nanostructured components.

Starting from this observation the concept of field tracing has been developed [1]. It allows a smooth combination of different simulation techniques in order to simulate an optical system as fast as possible and as accurate as required. Suitable modeling techniques are selected for different components of a system, e.g. geometric field tracing for propagating a laser beam through a lens, the Rayleigh Sommerfeld integral to obtain the beam in the focus of the lens and FMM (Fourier Modal Method) to model the scattering of a beam at some grating. In order to combine such methods a common representation of the light is required. In field tracing, electromagnetic harmonic fields are traced through the system. This approach provides three fundamental advantages of practical concern [1]: (1) field tracing enables unified optical modeling. Its concept allows the utilization of any modeling technique that is formulated for vectorial harmonic fields in different subdomains of the system. (2) The use of vectorial harmonic fields as a basis of field tracing permits a great flexibility in source modeling. By propagating sets of harmonic field modes through the system, partially temporally and spatially coherent light as well as ultrashort pulses can be investigated [2]. (3) In system modeling and design, the evaluation of any type of detector function is crucial. The use of vectorially formulated harmonic fields provides unrestricted access to all field parameters and therefore it allows the introduction and evaluation of any type of detector.

In this paper we show the basic principles and equations of field tracing. We apply the approach for the analysis of an eyepiece containing a diffractive lens. This lens is used in order to compensate the lateral color of the system.

## 2.

## FIELD TRACING METHODS

In order to discuss the field tracing equations we assume that the optical system is located in the domain Ω – *R*^{3}. Each optical component is represented by a subdomain Ω_{j} in which the refractive index with *r* = (*x*, *y*, *z*)is inhomogeneous. We denote the boundaries of Ω_{j} by Γ_{j}. We assume that all J subdomains are embedded in the homogeneous dielectric with refractive index n.

We denote the field at the boundary Γ_{j} by: *V _{j}* =

*V*(

*r*∈ Γ

_{j})=(

*E*,

_{x}*E*,

_{y}*E*,

_{z}*B*,

_{x}*B*,

_{y}*B*). Note, in practice we compute

_{z}*E*and

_{x}*E*by propagation. The other components of the electromagnetic field can be calculated on demand from the Maxwell’s equations.

Let us look at the modeling problem for the subdomain Ω_{j} illustrated by Figure 2. The component is hit by the input field . The input field is mapped to the output field by the operator *C _{j}* by

The operator *C _{j}* models the effect of the component inside the subdomain Ω

_{j}on the input field and delivers the outgoing field due to this effect by neglecting all other inhomogeneities Ω

_{j}for

*i*≠

*j*. The input field of subdomain Ω

_{i}results from the output fields of the other subdomains. Thus, we define the operator

*P*which maps the output field of subdomain j to the incident field of subdomain Ω

_{ij}_{i}with

*i*≠

*j*

This operator propagates the fields through the homogeneous dielectric in which all subdomains are embedded. Now we assume that we have a single source only and that the source field propagates through the components in the sequence of the index numbers. For *j* > 1 we obtain

and Combining all propagation steps we obtain the input field at the final boundary Γ_{j} by

We can choose freely the methods for the individual operators, see Figure 3.

## 3.

## SIMULATION OF AN EYEPIECE

## 3.1

### Introduction

The weight and size of the optical system are critical performance criteria in numerous applications. For instance, the development of hand-holdable long focal length photographic lenses and light head mounted displays (HMD) eyepieces are technical issues of interest.

To get lighter and more compact optical systems, the use of rotationally symmetric diffractive optical elements (DOEs) has become of interest. A rotationally symmetric DOE could be defined by its ideal phase polynomial 4a, by its kinoform and material 4b or by its binary 4c surface and material.

In 2001, Canon introduced the first photographic long focal length lens including a DOE, *EF 400 mm f:4 DO IS* [4]. More recently, Zeiss has introduced an OLED HMD including a DOE, *Carl Zeiss Cinemizer* [5]. The unusual dispersion properties of DOEs make them adequate for the correction of chromatic aberrations. This prevents us from fully achromatizing the optical system by combining different glass materials. This results in a less bulky optical system with fewer lenses.

Unfortunately, the use of DOEs causes stray light due to unwanted orders of diffraction. This makes the use of DOEs less common in practice [5]. The efficiency of the DOE diffraction working order falls below 100% when waveband width and angles of incidence increase. In 2014, Canon has re-designed the DOE, included in its 400-mm photographic lens, *EF 400 mm f:4 DO IS II*, in order to improve its image quality and decrease its stray light [6].

It appears from the above stated that the use of DOEs is of great interest in the reduction of the height and weight of optical imaging systems; however, the modeling of the stray light coming from the DOEs requires particular attention.

Below, we present the simulation of an eyepiece including a DOE by field tracing methods.

## 3.2

### Description of the setup

We consider a visible F/5 and a 40-degree diagonal Field of view (Fov) eyepiece mainly limited by its lateral color, see Figure 5.

In order to improve the eyepiece image resolution, we introduce and optimize a rotationally symmetric DOE between the image plane and the singlet (planar interfaces on the right in Figure 5). Due to the DOE we obtain a correction of lateral color. The DOE local zone width, *d*, is smaller with an increasing radial distance. The minimum width is *d* = 17,5*µm* at DOE full aperture; whereas, the maximum angle of incidence on the DOE within air does not exceed 22°. The simulation is done with three wavelengths: 486nm, 587nm, 656nm.

## 3.3

### Simulation results

We use the following propagation operators for the field tracing simulation:

• Geometric field tracing for the eyepiece and the PMMA plate of the DOE.

• Spectrum of plane waves (SPW) operator for the free space propagation to the focal region

Both operators have been described in more detail in [1]. The diffractive surface modulation of the DOE causes a phase modulation in the field. Hence, the full information is available and all diffraction orders are considered at once.

The use of DOE leads to a focal length decrease and a spot diameter decrease. The results are shown in Figure 6. Indeed the lateral color is reduced considerably by using the DOE (comparison of (a)(b) with (c)(d). The field tracing results show also the higher diffraction orders (see (e)).

## 4.

## CONCLUSION

We have discussed the simulation of an eyepiece with a diffractive lens with field tracing methods. These methods include the diffraction effects and deliver field information in the focal region of the eyepiece. According to the design target, the reduction of lateral color can be observed. In this paper we have used a geometric field tracing approach for the simulation of the diffractive surface. The accuracy of the simulation can be refined by using a rigorous grating analysis of the local grating. This approach maintains the advantages of field tracing, increases accuracy and may even save computing time since the diffraction orders to be considered can be pre-selected. Such a method is currently under development.

## REFERENCES

Frank Wyrowski and Michael Kuhn. “Introduction to field tracing,” Journal of Modern Optics 58(5-6), 449–466 (2011). https://doi.org/10.1080/09500340.2010.532237Google Scholar

Tervo, J.; Turunen, J.; Wyrowski, F. The Light Cube. Fifth EOS Topical Meeting on Advanced Imaging Techniques; European Optical Society: Hannover, 2010; Vol. 3037.Google Scholar

Unified optical design software “Wyrowski VirtualLab Fusion”, developed by Wyrowski Photonics UG, distributed and supported by LightTrans GmbH, Jena, Germany. http://www.lighttrans.com.Google Scholar

Herbert Keppler, “News: How Canon will cut the weight & size of tele lenses by about one-third.” pp 62–63, 148. Popular Photography, Volume 65 Number 1; January 2001. ISSN 0032-4582Google Scholar

Markus Seesselberg and Bernd H. Kleemann, DOEs for Color Correction in Broad Band Optical Systems: Validity and Limits of Efficiency Approximations, Carl Zeiss AGGoogle Scholar

Stephen Shankland, Canon reveals details for future telephoto lens line, http://www.cnet.com/news/canon-reveals-details-for-future-telephoto-lens-line/, September 15, 2014Google Scholar