Optical Engineering Science. Stephen Rolt

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Optical Engineering Science - Stephen Rolt

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Eq. (4.55) into Eq. (4.54) gives the desired quadratic equation:

       Solution 1: s1 = −0.194; s2 = 1.823

       Solution 2: s1 = 3.198; s2 = 2.929

      There now remains the question as to which of these two solutions to select. Using Eq. (4.29) to calculate the individual radii of curvature from the lens shapes and focal length we get:

       Solution 1: R1 = 121.25 mm; R2 = −81.78 mm; R3−81.29 mm; R4 = −281.88 mm

       Solution 2: R1 = 23.26 mm; R2 = 44.43 mm; R3−58.91 mm; R4 = −119.68 mm

      The radii R1 and R2 refer to the first and second surfaces of lens 1 and R3 and R4 to the first and second surfaces of lens 2. It is clear that the first solution contains less steeply curved surfaces and is likely to be the better solution, particularly for relatively large apertures. In the case of the second solution, whilst the solution to the third order equations eliminates third order spherical aberration and coma, higher order aberrations are likely to be enhanced.

      The first solution to this problem comes under the generic label of the Fraunhofer doublet, whereas the second is referred to as a Gauss doublet. It should be noted that for the Fraunhofer solution, R2 and R3 are almost identical. This means that should we constrain the two surfaces to have the same curvature (in the case of a cemented doublet) and just optimise for spherical aberration, then the solution will be close to that of the ideal aplanatic lens. To do this, we would simply use Eq. 4.29, forcing R2 and R3 to be equal and to replace Eq. 4.55 constraining the total coma, providing an alternative relation between s1 and s2. However, the fact that the cemented doublet is close to fulfilling the zero spherical aberration and coma condition further illustrates the usefulness of this simple component.

      The analysis presented applies only strictly in the thin lens approximation. In practice, optimisation of a doublet such as presented in the previous example would be accomplished with the aid of ray tracing software. However, the insights gained by this exercise are particularly important. For instance, in carrying out a computer-based optimisation, it is critically important to understand that two solutions exist. Furthermore, in setting up a computer-based optimisation, an exercise, such as this, provides a useful ‘starting point’.

      4.7.6 Secondary Colour

Schematic illustration of the effect secondary colour.

      Figure 4.26 clearly shows the effect as a quadratic dependence in focal shift with wavelength, with the ‘red’ and ‘blue’ wavelengths in focus, but the central wavelength with significant defocus. In line with the notion that we are seeking to quantify a quadratic effect, we can define the partial dispersion coefficient, P, as:

      (4.57)equation

      If we measure the impact of secondary colour as the difference in focal length, Δf, between the ‘blue’ and ‘red’ and the ‘yellow’ focal lengths for an achromatic doublet corrected in the conventional way we get:

      where f is the lens focal length.

      (4.59b)equation

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