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 This topic has 4 replies, 2 voices, and was last updated 4 years, 5 months ago by Ronald.

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28 March 2020 at 13:28 #6047CameronMember
Hello, I am very new to Nazca design and eager to learn more. I see tutorial examples showing parametric curves which have various bends using python functions. I couldn’t figure out how to draw a simple line with one parametric equation. For example, something like:
nd.sin(wavelength,amplitude,number of cycles)
sorry if this question shows a lack of effort, I’ve spent over 2 hours now trying accomplish this. If you could also include where I could have found this information myself that would great too!
Thank you!
28 March 2020 at 17:40 #6049RonaldKeymasterDear Cameron,
If I interpret your question correctly, i.e. that you want to modulate the edge of the waveguide, there are a few ways to get a sinshaped waveguide edge.
The most flexible is to define a parametric curve in x(t), y(t), and w(t), where in your case you exploit w(t). See also Free form curves, which discusses arbitrary parametric curves.
import numpy as np import nazca as nd xs = nd.add_xsection(name='myXS') xs.width = 5.0 nd.add_layer(name='myLay1', layer=(5, 0)) nd.add_layer2xsection(xsection='myXS', layer='myLay1') # create functions x, y, w for the parametric waveguide: def x(t, wavelength, periods, **kwargs): """X as function of t and free parameters.""" return periods * wavelength * t def y(t, **kwargs): """Y as function of t and free parameters.""" return 0 def w(t, width1=None, width2=None, amplitude=1.0, periods=10, **kwargs): """Width as function of t, width1 and width2 and free parameters.""" return width1 + amplitude * np.sin(t * periods * np.pi) # create the new parametric function using the template Tp_viper(): params = {'wavelength': 2.0, 'amplitude': 0.5, 'periods': 50} # assign *all* free params used in functions x, y, and w. sin_edge = nd.Tp_viper(x, y, w, xs='myXS', **params) # put waveguides: sin_edge().put(0) sin_edge(width1=10.0, wavelength=4.0, amplitude=4.0, N=2000).put(0, 15) nd.export_gds()
The result is the following waveguides:
The second solution is to define a perturbation of the edge of a straight waveguide element. This hasn’t been an actively in use option, but I dusted it off for nazca0.5.10 to work in the following way (not using a sin but 2*t for simplicity). The edge1 function in t adds to the normal width of the guide, but it becomes absolute when using width=1.0.
import nazca as nd s = nd.strt(length=10, edge1=lambda t: 2*t + 1.0, edgepoints=100, layer=1).put(0) nd.export_gds()
The above would work the same for straight interconnects.
Lastly, you can draw your desired waveguide directly as a polygon:
import nazca as nd points = [(x1, y1), (x2, y2), ...] # your shape nd.Polygon(points=points, layer=1).put(0) nd.export_gds()
You ideally would put this in a cell and add pins to it as described in Make and put a Cell.
Ronald
2 April 2020 at 02:50 #6050CameronMemberThanks for your help Ronald! This was very useful and interesting, I will refer to this script in the future. However, I am also wondering not only about the sidewall shape of the waveguide, but rather the path of the waveguide itself. A separate question is how do I measure the total path length of a waveguide made with Nazca design? In the case I can create the waveguide path with a mathematical function, I can analytically derive the path length, however I still didn’t figure that out, and it wouldn’t work in general. Thanks again for your advice!
Best,
Cameron
2 April 2020 at 03:00 #6051CameronMemberActually, as I think more about your script, I guess modifying the waveguide edge and the path length are kind of one in the same thing . Essentially I only need to modify your script by putting the top and bottom waves (which define the top and bottom edges) out of phase by 90 degrees from each other, then it would create a uniform line width which follows a sinusoidal path. I could analytically derive the path length from there. However, I couldn’t find the function to obtain path length in general. Thanks again.
2 April 2020 at 13:39 #6052RonaldKeymasterDear Cameron,
A correct observation; You can play with x, y, and w at the same time to get what you need.
For the geometrical path length of a parametric curve along (x, y) some calculus is required:
length = integral [ sqrt (x(t)^2 + y(t)^2) * dt ], t from t=0 to t=1
Analytically you may have the integral already, then that would be the most accurate solution. Otherwise take the sum of the line segments for a set of finite dt sections for t along [0, 1], where you need to set a criterion that ensures you obtain a sufficiently close approximation of the length. Perhaps scipy.integrate is of use.
Ronald

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