In [6]:
"""
Example 7

- double-pulse SASE FEL by inserting a chicane to tune the delay in between
- visualize the growth of temporal profile
"""

import sys
isjupyter = "ipykernel" in sys.modules

import simplex 

if isjupyter:
    simplex.Start(mode="c") 
    import plotly.io as pio
    pio.renderers.default = "notebook" # to enable exporting as an HTML file
    from IPython.display import display, HTML
else:
    simplex.Start() 

# open "sample.json" in the current directory
simplex.Open("sample_sase.json") 

# setup chicane parameters
simplex.Set("chicane", "chicaneon", True)
simplex.Set("chicane", "delay", 10)
simplex.Set("chicane", "chpos", 5)

# expand the temporal window
simplex.Set("condition", "simrange", [-1e-6, 5e-6])
simplex.StartSimulation(folder="./output", prefix="sample7", serial=1)

# rearrange the macroparticle distribution to be consistent with the extinction of microbunching 
simplex.Set("chicane", "rearrange", True)
simplex.StartSimulation(folder="./output", prefix="sample7", serial=2)

if isjupyter:
    display(HTML("<h2>Example of double-pulse SASE FEL"))
    simplex.PostProcessCLI.Plot(data=["sample7-1", "sample7-2"], item="Temporal Profile")
else:
    # compare the two schemes
    simplex.PostProcess.SelectData("sample7-1")
    simplex.PostProcess.Plot("Temporal Profile")
    simplex.PostProcess.ComparativePlot("sample7-2")
    simplex.PostProcess.SetSlide(-1)

if not isjupyter:
    input("Completed. Press enter to exit. ")
    simplex.Exit()
                                                  

Example of double-pulse SASE FEL

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