opticspy has a set of Zernike Polynomials Method

1. It can generate arbitrary combination Z1 to Z37 Zernike Polynomials surface

2. It can generate arbitrary combination Z1 to Z37 Zernike Polynomials 2D map(heatmap)

3. It can generate arbitrary combination Z1 to Z37 Zernike Polynomials 1D cutoff through x and y axis of a 3D Zernike Polynomials surface

4. The zernike coefficient can use to generate Twyman Green interferogram based on zernike polynomials

5. Point spread function(PSF), Modulate transfer function(MTF), Phase transfer function(PTF)

6. Covert Zernike polynomials coefficients to Seidel coefficients

7. Other helpful methods to use Zernike Polynomials and specific help manual

In [1]:
%matplotlib inline
import opticspy

Generate arbitrary combination Z1 to Z37 Zernike Polynomials surface

In [2]:
Z = opticspy.zernike.Coefficient(Z11=1) 
Z.zernikesurface()

Z11 =  1 Z40 Primary Spherical
In [3]:
Z = opticspy.zernike.Coefficient(Z8=1) 
Z.zernikesurface()

Z8 =  1 Z31 Primary x Coma
In [4]:
Z = opticspy.zernike.Coefficient(Z2=0.1,Z11=0.2,Z15=0.3,Z32=0.1) 
Z.zernikesurface()

Z2 =  0.1 Z11 x Tilt
Z11 =  0.2 Z40 Primary Spherical
Z15 =  0.3 Z44 y Tetrafoil
Z32 =  0.1 Z73 Tertiary x Trefoil

Generate Z1 to Z37 Zernike Polynomials surface 2D map(heatmap)

In [5]:
Z = opticspy.zernike.Coefficient(Z11=1) 
Z.zernikemap()

Z11 =  1 Z40 Primary Spherical
In [6]:
Z = opticspy.zernike.Coefficient(Z8=1) 
Z.zernikemap()

Z8 =  1 Z31 Primary x Coma
In [7]:
Z = opticspy.zernike.Coefficient(Z2=0.1,Z11=0.2,Z15=0.3,Z32=0.1) 
Z.zernikemap()

Z2 =  0.1 Z11 x Tilt
Z11 =  0.2 Z40 Primary Spherical
Z15 =  0.3 Z44 y Tetrafoil
Z32 =  0.1 Z73 Tertiary x Trefoil

Generate arbitrary combination Z1 to Z37 Zernike Polynomials 1D cutoff through x and y axis of a 3D Zernike Polynomials surface figure

In [8]:
Z = opticspy.zernike.Coefficient(Z11=1) 
Z.zernikeline()