Fixing bug in BToDLNuCLNBelle.

eFFORT/SLBToC/BToDLNu.py

@@ -71,19 +71,14 @@ class BToDLNuCLN(BToDLNu):
 
 class BToDLNuCLNBelle(BToDLNu):
 
-    def __init__(self, m_B: float, m_D: float, V_cb: float, eta_EW: float = 1.0066, cln_g1=None, cln_rho2=None):
-        super().__init__(m_B=m_B, m_D=m_D, V_cb=V_cb, eta_EW=eta_EW)
-
+    def __init__(self, m_B: float, m_D: float, V_cb: float, eta_EW: float = 1.0066, cln_g1=None, cln_rho2=None) -> None:
         # CLN specifics, default is given by the Belle Evtgen parameters
         self.G_1 = 1.074 if cln_g1 is None else cln_g1
         self.rho2 = 1.15 if cln_rho2 is None else cln_rho2
 
+        super().__init__(m_B=m_B, m_D=m_D, V_cb=V_cb, eta_EW=eta_EW)
+
     def G(self, w: float) -> float:
-        """
-        Squared Caprini, Lellouch and Neubert (CLN) form factor.
-        :param z:
-        :return:
-        """
         rho2 = self.rho2
         z = z_var(w)
         return (self.G_1 * (1 - 8 * rho2 * z + (51 * rho2 - 10) * z ** 2 - (252 * rho2 - 84) * z ** 3)) ** 2

eFFORT/SLBToC/BToDstarLNu.py

@@ -186,7 +186,7 @@ class BToDstarLNu:
 class BToDstarLNuCLN(BToDstarLNu):
 
     def __init__(self, m_B: float, m_Dstar: float, V_cb: float, eta_EW: float = 1.0066, cached_gammas=None):
-        super().__init__(m_B, m_Dstar, V_cb, eta_EW)
+        super().__init__(m_B=m_B, m_Dstar=m_Dstar, V_cb=V_cb, eta_EW=eta_EW)
 
         # CLN specifics, default is given by values in https://arxiv.org/abs/1702.01521v2
         self.h_A1_1 = 0.906