Running

Congratulations, you have installed the HiFDTD library! It's time to run the first script. Firstly, create an empty directory:

    mkdir EmptyDir

Second step, you should create an empty '.py' (python extension) file and copy this code into this file:

    import emtl
    import sys

    emtl.emInit(sys.argv[1:])

    h_plate = 0.1
    task = emtl.uiPyExperiment()
    task.UseLambda(1)
    task.SetWavelengthRange(600, 0.3, 1.2)

    dx = 0.001
    task.SetResolution(dx, 0.5) #accuracy

    task.SetInternalSpace(emtl.Vector_3(0),emtl.Vector_3(0, 0, 3*h_plate))

    task.SetBC(emtl.BC_PER, emtl.BC_PER, emtl.BC_PML)
    task.SetPMLType(emtl.CPML_TYPE);
    task.SetFourierOnFly(True)

    plate = emtl.GetPlate(emtl.Vector_3(0, 0, 1), emtl.Vector_3(0, 0, h_plate), h_plate)

    gold = emtl.getAu()

    task.AddObject(gold, plate)

    task.AddTFSFPlane(emtl.INF, emtl.INF, 0.05)

    task.SetPlaneWave(emtl.Vector_3(0,0,1), emtl.Vector_3(1,0,0))

    task.AddRTASet("flux", 2, 0.025, 3*h_plate-0.025)

    task.BuildDimensions();
    task.Calculate(16)
    task.Analyze()

This script moddelling light reflecting from gold plate. This script return picture of spectrum of reflection coefficient with name 'Reflecting_spectrum.png'. You can vizulize it using standart python libraries 'matplotlib' and 'pandas'. You should make new python script and copy this code into it:

    import matplotlib.pyplot as plt
    import pandas as pd

    data_spectrum = pd.read_csv('flux.d', sep = '\t', dtype = float)

    fig, ax = plt.subplots()

    ax.plot(data_spectrum['#wavelength'], 100*data_spectrum['W[0]']/data_spectrum['W[1]'], color = 'blue')

    ax.grid()

    ax.set_xlabel('Wavelength, $\mu$')
    ax.set_ylabel('Reflecting, %')
    ax.set_title('Reflecting coefficient')

    fig.savefig('Reflecting_spectrum')

If you have not got this libraries, run this code in command promt:

    pip install matplotlib

and after installation of matplotlib, run this code:

    pip install pandas