1 files changed, 0 insertions, 92 deletions
diff --git a/fg21sim/extragalactic/clusters/halo.py b/fg21sim/extragalactic/clusters/halo.py
index c498bb6..d0bce9e 100644
--- a/fg21sim/extragalactic/clusters/halo.py
+++ b/fg21sim/extragalactic/clusters/halo.py
@@ -1008,95 +1008,3 @@ class RadioHaloAM(RadioHalo1M):
             n1_e = n2_e
 
         return n2_e
-
-
-class RadioHalo:
-    """
-    Simulate the radio halo properties for a galaxy cluster.
-
-    This class is built upon the `~RadioHalo1M` and `~RadioHaloAM` and
-    is intended for use in the outside.
-
-    Parameters
-    ----------
-    M_obs : float
-        Cluster virial mass at the observation (simulation end) time.
-        Unit: [Msun]
-    z_obs : float
-        Redshift of the observation (simulation end) time.
-    M_main, M_sub : list[float]
-        List of main and sub cluster masses at each merger event,
-        from current to earlier time.
-        Unit: [Msun]
-    z_merger : list[float]
-        The redshifts at each merger event, from small to large.
-    merger_num : int
-        Number of merger events traced for the cluster.
-    """
-    # Effective radius of the turbulence region [kpc]
-    radius_turb_eff = None
-
-    def __init__(self, M_obs, z_obs, M_main, M_sub, z_merger,
-                 merger_num, configs=CONFIGS):
-        self.M_obs, self.z_obs = M_obs, z_obs
-        self.M_main = np.asarray(M_main[:merger_num])
-        self.M_sub = np.asarray(M_sub[:merger_num])
-        self.z_merger = np.asarray(z_merger[:merger_num])
-        self.merger_num = merger_num
-        self.configs = configs
-
-    def calc_radius_turb(self):
-        """
-        Determine the effective radius of the turbulence region along the
-        whole merging process.  The effective size is determined by the
-        largest turbulence radius of a merger that is generating a genuine
-        radio halo.
-
-        Returns
-        -------
-        radius_turb_eff : float
-            Effective radius of the turbulence region
-            Unit: [kpc]
-
-        Attributes
-        ----------
-        radius_turb_eff : float
-        _halos : list[dict]
-            List of dictionary with each one saving the properties of the
-            halo generated by the corresponding merger.
-        """
-        logger.info("Determining the effective turbulence radius ...")
-        halos = [{
-            "M_main": self.M_main[i],
-            "M_sub": self.M_sub[i],
-            "z_merger": self.z_merger[i],
-            "i": i,
-        } for i in range(self.merger_num)]
-        for hdict in halos:
-            halo = RadioHalo1M(M_obs=self.M_obs, z_obs=self.z_obs,
-                               M_main=hdict["M_main"],
-                               M_sub=hdict["M_sub"],
-                               z_merger=hdict["z_merger"],
-                               configs=self.configs)
-            hdict["halo"] = halo
-            hdict["radius_turb"] = halo.radius_turb(halo.t_merger)
-            hdict["genuine"] = False
-
-        halos.sort(key=lambda h: h["radius_turb"], reverse=True)
-        for hdict in halos:
-            halo = hdict["halo"]
-            logger.info("Checking merger: %.2e & %.2e @ %.3f -> %.3f ..." %
-                        (halo.M_main, halo.M_sub, halo.z_merger, halo.z_obs))
-            n_e = halo.calc_electron_spectrum()
-            genuine, em_factor = halo.is_genuine(n_e)
-            hdict["n_e"] = n_e
-            hdict["genuine"] = genuine
-            hdict["em_factor"] = em_factor
-
-            if genuine:
-                self.radius_turb_eff = hdict["radius_turb"]
-                logger.info("Identified effective merger.")
-                break
-
-        self._halos = halos
-        return self.radius_turb_eff