Adding support for SEOBNRv4EHM, SEOBNRv4HM, NRSur7dq4 networks

dingo/core/result.py

@@ -294,6 +294,9 @@ def importance_sample(self, num_processes: int = 1, **likelihood_kwargs):
         self.log_noise_evidence = self.likelihood.log_Zn
         self.samples["log_prior"] = log_prior
         self.samples.loc[valid_samples, "log_likelihood"] = log_likelihood
+        # where the likelihood is nan, we set the log_likelihood to -inf as it 
+        # corresponds to an unphysical system
+        self.samples["log_likelihood"] = self.samples["log_likelihood"].fillna(-np.inf)
         self._calculate_evidence()
 
     def _calculate_evidence(self):

dingo/gw/domains.py

@@ -495,6 +495,9 @@ def __call__(self) -> np.ndarray:
             0.0, self._time_duration, num=num_bins, endpoint=False, dtype=np.float32
         )
 
+    def update(self):
+        raise NotImplementedError
+
     @property
     def delta_t(self) -> float:
         """The size of the time bins"""
@@ -599,7 +602,7 @@ def build_domain(settings: Dict) -> Domain:
     kwargs = {k: v for k, v in settings.items() if k != "type"}
     if settings["type"] in ["FrequencyDomain", "FD"]:
         return FrequencyDomain(**kwargs)
-    elif settings["type"] == ["TimeDomain", "TD"]:
+    elif settings["type"] in ["TimeDomain", "TD"]:
         return TimeDomain(**kwargs)
     else:
         raise NotImplementedError(f'Domain {settings["name"]} not implemented.')