SNLO-Helper

SNLO-Helper helps to use SNLO software for simulation of nonlinear optical processes in crystals.

An autoclicker clicks different buttons and fills fields in order to automate SNLO simulations. Afterwards, it can retrieve the results and return them as a dictionary.

Attention:

• The script does use your mouse and keyboard, so you should not interact with the computer at the same time.
• The script uses predefined positions of the windows, so do not move the windows.
• The autoclicker can be interrupted by moving the mouse into the top left corner of the screen.

Currently it supports the following functions (feel free to add more):

• Ref. Ind.
• Qmix
• 2D-mix-LP
• 2D-mix-SP
• PW-OPO-BB
• 2D-cav-LP
• Focus

Installation

Install it executing pip install -e . in this folder or via pip install snlo-helper to download it in the background and install it.

Usage

Quick Start

1. Start SNLO on your computer
2. Import snlohelper.main_window.MainWindow as a starting point.
3. Create an instande mw = MainWindow
4. Open the desired function: ri = mw.open_function(Functions.REF_INDEX)
5. Execute it no, ne = ri.refractive_indices(Wavelength=1234)

Here is a small snippet how to do a 2D mix of long pulses:

from snlohelper.main_window import MainWindow

mw = MainWindow()
mix = mw.open_two_d_mix_lp()
mix.configure({"Wavelengths (nm)": [1064.5, None, None]})
mix.accept()
result = mix.run_and_read()
print(result)

For more examples see the examples folder.

General usage

• The main_window.MainWindow class manages the main window.
• For several functions exists a module containing a class, which in turn allows to configure the function, to run the calculation, and to extract the result.
  1. You start that class, for example mix = two_d_mix_lp.TwoDMixLp() or mix = MainWindow().open_function("2D-Mix-LP").
  2. You can configure it giving a configuration dictionary (the keys correspond to the names) with mix.configure({"Wavelengths": [1064, None, None]}). If a value is None, it won't be changed.
  3. Click accept with mix.accept()
  4. You can run it with mix.run()
  5. With results = mix.read_results() you can extract the resulting text.
  6. With result_dict = mix.interpret_results(results) you get a dictionary of the result data
  7. There are convenience methods like mix.run_and_read which runs and returns the dictionary, or even mix.configure_run_read, which does all of above steps in one.

Contribution

You are welcome to contribute to this library. Just open an issue for suggestions or bug reports and open a pull request for code contributions.