diff --git a/.ipynb_checkpoints/raremodel-nb-checkpoint.ipynb b/.ipynb_checkpoints/raremodel-nb-checkpoint.ipynb
index 01987c5..c5be1ef 100644
--- a/.ipynb_checkpoints/raremodel-nb-checkpoint.ipynb
+++ b/.ipynb_checkpoints/raremodel-nb-checkpoint.ipynb
@@ -595,7 +595,7 @@
    "outputs": [],
    "source": [
     "tau_m = zfit.Parameter(\"tau_m\", ztf.constant(pdg['tau_M']), floating = False)\n",
-    "Ctt = zfit.Parameter(\"Ctt\", ztf.constant(0.0), lower_limit=-0.5, upper_limit=0.5)"
+    "Ctt = zfit.Parameter(\"Ctt\", ztf.constant(0.0), lower_limit=-1.0, upper_limit=1.0)"
    ]
   },
   {
@@ -1397,9 +1397,9 @@
     "mean1 = ztf.constant(0.466)\n",
     "mean2 = ztf.constant(-0.885)\n",
     "mean3 = ztf.constant(-0.213)\n",
-    "sigma1 = ztf.constant(0.014)\n",
-    "sigma2 = ztf.constant(0.128)\n",
-    "sigma3 = ztf.constant(0.548)\n",
+    "sigma1 = ztf.constant(0.014/3.)\n",
+    "sigma2 = ztf.constant(0.128/3.)\n",
+    "sigma3 = ztf.constant(0.548/3.)\n",
     "constraint4_0 = tf.pow((bplus_0-mean1)/sigma1,2)/ztf.constant(2.)\n",
     "constraint4_1 = tf.pow((bplus_1-mean2)/sigma2,2)/ztf.constant(2.)\n",
     "constraint4_2 = tf.pow((bplus_2-mean3)/sigma3,2)/ztf.constant(2.)\n",
diff --git a/raremodel-nb.ipynb b/raremodel-nb.ipynb
index 01987c5..c5be1ef 100644
--- a/raremodel-nb.ipynb
+++ b/raremodel-nb.ipynb
@@ -595,7 +595,7 @@
    "outputs": [],
    "source": [
     "tau_m = zfit.Parameter(\"tau_m\", ztf.constant(pdg['tau_M']), floating = False)\n",
-    "Ctt = zfit.Parameter(\"Ctt\", ztf.constant(0.0), lower_limit=-0.5, upper_limit=0.5)"
+    "Ctt = zfit.Parameter(\"Ctt\", ztf.constant(0.0), lower_limit=-1.0, upper_limit=1.0)"
    ]
   },
   {
@@ -1397,9 +1397,9 @@
     "mean1 = ztf.constant(0.466)\n",
     "mean2 = ztf.constant(-0.885)\n",
     "mean3 = ztf.constant(-0.213)\n",
-    "sigma1 = ztf.constant(0.014)\n",
-    "sigma2 = ztf.constant(0.128)\n",
-    "sigma3 = ztf.constant(0.548)\n",
+    "sigma1 = ztf.constant(0.014/3.)\n",
+    "sigma2 = ztf.constant(0.128/3.)\n",
+    "sigma3 = ztf.constant(0.548/3.)\n",
     "constraint4_0 = tf.pow((bplus_0-mean1)/sigma1,2)/ztf.constant(2.)\n",
     "constraint4_1 = tf.pow((bplus_1-mean2)/sigma2,2)/ztf.constant(2.)\n",
     "constraint4_2 = tf.pow((bplus_2-mean3)/sigma3,2)/ztf.constant(2.)\n",