fix

Author: Luigi Dello Stritto

machine_learning_hep/data/data_run3/database_ml_parameters_D0pp_mult.yml

@@ -450,7 +450,25 @@ D0ml_pp:
           components:
             model:
               fn: 'SUM::sigrefl(frac_refl[0.,1.]*refl, sig)'
-        - ptrange: [0., 6]
+        - ptrange: [0., 1]
+          range: [1.75, 2.0]
+          fix_params: ['frac_refl']
+          free_params: ['sigma_g1']
+          components:
+            bkg:
+              fn: 'Exponential::bkg(m, alpha[-100,0])'
+            model:
+              fn: 'SUM::sum(frac[0.,1.]*sigrefl, bkg)'
+        - ptrange: [1., 3]
+          range: [1.72, 2.02]
+          fix_params: ['frac_refl']
+          free_params: ['sigma_g1']
+          components:
+            bkg:
+              fn: 'Exponential::bkg(m, alpha[-100,0])'
+            model:
+              fn: 'SUM::sum(frac[0.,1.]*sigrefl, bkg)'
+        - ptrange: [3, 6]
           range: [1.72, 2.06]
           fix_params: ['frac_refl']
           free_params: ['sigma_g1']

machine_learning_hep/processer.py

@@ -170,7 +170,7 @@ def __init__(
         # self.v_ismcprompt = datap["bitmap_sel"]["var_ismcprompt"]
         # self.v_ismcfd = datap["bitmap_sel"]["var_ismcfd"]
         self.v_ismcbkg = datap["bitmap_sel"]["var_ismcbkg"]  # used in hadrons
-        self.v_ismcrefl = datap["bitmap_sel"]["var_ismcrefl"]  # used in hadrons
+        # self.v_ismcrefl = datap["bitmap_sel"]["var_ismcrefl"]  # used in hadrons
         self.v_var_binning = datap["var_binning"]
         self.v_invmass = datap["variables"].get("var_inv_mass", "inv_mass")
         # self.v_rapy = datap["variables"].get("var_y", "y_cand")