All the following files refers to "Option 1", where SB2 is resonant in both PRC and SRC.

The simulation is run using Matlab scripts, then the post processing is carried out with Python scripts

Matlab scripts

• Low input power
• Single demodulation scheme
  
• Definition of optics: adVirgo1_sd_lp.m
• File to extract transfer functions: extractTF1_sd_lp.m
• File to tune demodulation phases: tune_phases1_sd_lp.m
• File to save results in finesse-like format: save_text1_sd_lp.m
• File to extract quantum noise: noise1_sd_lp.m
• Double demodulation scheme
  
• Definition of optics: adVirgo1_dd_lp.m
• File to extract transfer functions: extractTF1_dd_lp.m
• File to tune demodulation phases: tune_phases1_dd_lp.m
• File to save results in finesse-like format: save_text1_dd_lp.m
• File to extract quantum noise: noise1_dd_lp.m
  

• High input power
• Single demodulation scheme
  
• Definition of optics: adVirgo1_sd_hp.m
• File to extract transfer functions: extractTF1_sd_hp.m
• File to tune demodulation phases: tune_phases1_sd_hp.m
• File to save results in finesse-like format: save_text1_sd_hp.m
• File to extract quantum noise: noise1_sd_hp.m
• Double demodulation scheme
  
• Definition of optics: adVirgo1_dd_hp.m
• File to extract transfer functions: extractTF1_dd_hp.m
• File to tune demodulation phases: tune_phases1_dd_hp.m
• File to save results in finesse-like format: save_text1_dd_hp.m
• File to extract quantum noise: noise1_dd_hp.m
• Run all with run_matrix.m
  

Python scripts

• Low input power
• Single demodulation scheme
• Script to extract and plot optical transfer functions: matrix_sd_lp.py
• Double demodulation scheme
• Script to extract and plot optical transfer functions: matrix_dd_lp.py
• High input power
• Single demodulation scheme
• Script to extract and plot optical transfer functions: matrix_sd_hp.py
• Script to simulate loops and compute quantum-noise-limited performances: loops_sd.py
• Double demodulation scheme
• Script to extract and plot optical transfer functions: matrix_dd_hp.py
• Script to simulate loops and compute quantum-noise-limited performances: loops_dd.py