Support for eccentricity and mean_per_ano parameters

* add the new parameters
* set new parameters to zero if not specified

bilby/gw/conversion.py

@@ -259,7 +259,7 @@ def convert_to_lal_binary_black_hole_parameters(parameters):
                         )
                         converted_parameters[f"cos_tilt_{idx}"] = 1.0
 
-    for key in ["phi_jl", "phi_12"]:
+    for key in ["phi_jl", "phi_12","eccentricity","mean_per_ano"]:
         if key not in converted_parameters:
             converted_parameters[key] = 0.0
 

bilby/gw/source.py

@@ -17,7 +17,7 @@
 
 
 def gwsignal_binary_black_hole(frequency_array, mass_1, mass_2, luminosity_distance, a_1, tilt_1,
-                               phi_12, a_2, tilt_2, phi_jl, theta_jn, phase, **kwargs):
+                               phi_12, a_2, tilt_2, phi_jl, theta_jn, phase, eccentricity, mean_per_ano, **kwargs):
     """
     A binary black hole waveform model using GWsignal
 
@@ -48,6 +48,10 @@ def gwsignal_binary_black_hole(frequency_array, mass_1, mass_2, luminosity_dista
         Angle between the total binary angular momentum and the line of sight
     phase: float
         The phase at coalescence
+    eccentricity: float
+        Orbital eccentricity
+    mean_per_ano: float
+        Mean anomaly
     kwargs: dict
         Optional keyword arguments
         Supported arguments:
@@ -83,8 +87,8 @@ def gwsignal_binary_black_hole(frequency_array, mass_1, mass_2, luminosity_dista
     =====
     This function is a temporary wrapper to the interface that will
     likely be significantly changed or removed in a future release.
-    This version is only intended to be used with `SEOBNRv5HM` and `SEOBNRv5PHM` and
-    does not have full functionality for other waveform models.
+    This version is only intended to be used with ``SEOBNRv5HM``, ``SEOBNRv5EHM``
+    and ``SEOBNRv5PHM`` and does not have full functionality for other waveform models.
     """
 
     from lalsimulation.gwsignal import GenerateFDWaveform
@@ -103,7 +107,7 @@ def gwsignal_binary_black_hole(frequency_array, mass_1, mass_2, luminosity_dista
     waveform_kwargs.update(kwargs)
 
     waveform_approximant = waveform_kwargs['waveform_approximant']
-    if waveform_approximant not in ["SEOBNRv5HM", "SEOBNRv5PHM"]:
+    if waveform_approximant not in ["SEOBNRv5HM", "SEOBNRv5EHM", "SEOBNRv5PHM"]:
         if waveform_approximant == "IMRPhenomXPHM":
             logger.warning("The new waveform interface is unreviewed for this model" +
                            "and it is only intended for testing.")
@@ -141,9 +145,7 @@ def gwsignal_binary_black_hole(frequency_array, mass_1, mass_2, luminosity_dista
         phi_12=phi_12, a_1=a_1, a_2=a_2, mass_1=mass_1 * utils.solar_mass, mass_2=mass_2 * utils.solar_mass,
         reference_frequency=reference_frequency, phase=phase)
 
-    eccentricity = 0.0
     longitude_ascending_nodes = 0.0
-    mean_per_ano = 0.0
 
     # Check if conditioning is needed
     condition = 0