asgol.blogg.se - Fdtd example lumerical

An lsf set-up script - Create a python variable using the load_from_lsf function.

Example Grating coupler.īase_sim = os.path.join(os.path.dirname(_file_), 'grating_base.fsp')

Predefined simulation file - Initialize a python variable that specifies the path to the base file.

The base simulation needs to be defined using one of the following options To run any of our examples 'out of the box' simply run the scripts from the script file editor in the CAD. Lumerical ships with a version of Python 3, including lumapi and lumopt modules, already installed. For more information on these methods and os specific paths, see Session management - Python API. Advanced user working with numerous libraries might want to create a Lumerical virtual environment. Either pass an explicit path using importlibutil, or updating the search path permanently appending the PythonPath object. To do this one simply needs to import lumopt and lumapi which will require specifying the correct path.

Using your own version of python and running from an IDE or the command line may be preferable for more experienced users. This method automatically configures the workspace to find the lumopt and lumapi modules and would be the preferred method for users with little experience in python. Running from the CAD script editor has the advantage that it requires no set-up and uses a Python 3 distro that ships with the Lumerical installer, so there is no need to install a separate python. Shape and topology optimization primarily differ in how they handle the optimizable geometry which is the subject of the next page in this series. Finally, a description of the scipy optimizer and lumopt optimization classes are presented. Next important lumopt set-up classes, that should be updated to reflect your specifications are documented. Important lumopt specific considerations are highlighted however, a valid simulation set-up is imperative, so convergence testing should be considered a pre-requisite. In the project Init section, we outline the project inputs and necessary simulation objects that should be included. It may be helpful following along with these files as you read this page or you may simply reference this page when running the examples later. As a starting point, it is recommended to run the AppGallery examples and use these as templates for your own project.

In the first sub-section, we will briefly describe how to import the lumopt and lumapi modules although an experienced python user can likely skip this part. Inverse design using lumopt can be run from the CAD script editor, the command line or any python IDE.