![]() ![]() Now you can put the layout into nice presentations and papers. Finally, go to “File > Setup > Display > Background” and choose a white layout. Navigate to “camera_ready_OLMAC.lyp” and select. In klayout, “File > Load Layer Properties”. Double click a polygon to make it refresh. Find “default.yml” for an example of specifying dataprep.īug: Sometimes the layer list does not update with the layer group tab. This also demonstrates bulk-sleeve behavior for split-step lithography. The layers are grouped in other tabs of the layout window. “lymask > Mask dataprep > Run default.yml” will generate masks that will be fed to the EBeam writer. `bash klayout SOEN-PDK/tech/OLMAC/olmac_pcells/ref_layouts/wg_to_snspd.gds ` Draw a ruler across the whole layout, and then press “Tools > XSection 1.4 Scripts > XSection: Current Technology (Shift + Ctrl + X)”. You can install “xsection” through klayout’s salt manager, which will give additional commands for the GUI. This generated layout is meant to feature X-section behavior. You should see a number of layers on the right side window. In menu, click “lymask > Reload dataprep (Ctrl + L)”. Then, click the button that now says “OLMAC”. In dropdown, select the “OLMAC” technology. `bash python SOEN-PDK/tech/OLMAC/xsect/example-xs.py klayout example-xs.gds ` To generate this, you will need phidl ( pip install phidl). We need a layout to test lymask functionality. `bash git clone lygadgets_link SOEN-PDK/tech/OLMAC ` Using NIST’s superconducting optoelectronic neural networks technology. ` pip install lymask lygadgets_link lymask ` API functions: used for automation within a larger program Command line: used for batch processing, particularly on remote computers GUI menu: used for basic development and debug are declaritive, so their parameters can be accessed by other programs can be modified without restarting klayout Procedures are interpreted from YAML files which means they ![]() lymask provides a simple, YAML-based specification of dataprep, entry points into klayout’s multi-thread-able C++ engine, and common procedures such as bulk/sleeve split lithography processing. Dataprep can mean almost any kind of batch process on layouts between the design phase and sending to lithography machine. ![]()
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