docs: OpenROADM-ILA parameters in the JSON equipment library
@@ -24,7 +24,10 @@ can be added and existing ones removed. Three different noise models are availab
It is not a simple interpolation but a 2-stage NF calculation.
2. ``'type_def': 'fixed_gain'`` is a fixed gain model.
`NF == Cte == nf0` if `gain_min < gain < gain_flatmax`
-3. ``'type_def': 'advanced_model'`` is an advanced model.
+3. ``'type_def': 'openroadm'`` models the incremental OSNR contribution as a function of input power.
+ It is suitable for inline amplifiers that conform to the OpenROADM specification.
+ The input parameters are coefficients of the :ref:`third-degree polynomial<ext-nf-model-polynomial-OSNR-OpenROADM>`.
+4. ``'type_def': 'advanced_model'`` is an advanced model.
A detailed JSON configuration file is required (by default `gnpy/example-data/std_medium_gain_advanced_config.json <https://github.com/Telecominfraproject/oopt-gnpy/blob/master/gnpy/example-data/std_medium_gain_advanced_config.json>`_).
It uses a 3rd order polynomial where NF = f(gain), NF_ripple = f(frequency), gain_ripple = f(frequency), N-array dgt = f(frequency).
Compared to the previous models, NF ripple and gain ripple are modelled.
