The difference between two methods "gn_model_analytic" and "ggn_spectrally_separated" #501
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Hi Team, I find that there are two methods "gn_model_analytic" and "ggn_spectrally_separated" for computing NLI. What is the difference between them? The former seems to have higher computing efficiency and higher output "SNR NLI", which has some influences on output "GSNR". Which of them should I believe? Thanks, |
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Replies: 1 comment
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Dear @oolongkiller,
Therefore, the "ggn_spectrally_separated" is more reliable. Some transmission scenarios, where the Raman effect can be neglected, don't require such accuracy and the "gn_model_analytic" is preferable, e.g. when the C-band is not fully occupied or the transmitted power is limited. Best, |
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Dear @oolongkiller,
Long story short:
Therefore, the "ggn_spectrally_separated" is more reliable. Some transmission scenarios, where the Raman effect can be neglected, don't require such accuracy and the "gn_model_analytic" is preferable, e.g. when the C-band is not fully occupied or the transmitted power is limited.
Best,
Andrea