diff --git a/include/thermodynamics.h b/include/thermodynamics.h
index 38ac37b37..230237443 100755
--- a/include/thermodynamics.h
+++ b/include/thermodynamics.h
@@ -260,12 +260,12 @@ struct thermo
  * Internal to the thermodynamics module. 
  */
 struct effective_rates{
-  double * TR       /**< Radiation temperature abscissa. */
-  double * Alpha[2] /**< Effective recombination coefficient for 2s and 2p at each TR. */
-  double * Beta[2]  /**< Effective photoionization coefficient for 2s and 2p at each TR. */
-  double * R_2pto2s /**< Effective 2p -> 2s transition rate at each TR. */
-  double * R_2sto2p /**< Effective 2s -> 2p transition rate at each TR. */
-}
+  double * TR;       /**< Radiation temperature abscissa. */
+  double * Alpha[2]; /**< Effective recombination coefficient for 2s and 2p at each TR. */
+  double * Beta[2];  /**< Effective photoionization coefficient for 2s and 2p at each TR. */
+  double * R_2pto2s; /**< Effective 2p -> 2s transition rate at each TR. */
+  double * R_2sto2p; /**< Effective 2s -> 2p transition rate at each TR. */
+};
 
 /**
  * Temporary structure where all the recombination history is defined and stored.
diff --git a/notebooks/.ipynb_checkpoints/recfast_fudge-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/checks_for_new_hyrec_integrated_with_CLASS-checkpoint.ipynb
similarity index 100%
rename from notebooks/.ipynb_checkpoints/recfast_fudge-checkpoint.ipynb
rename to notebooks/.ipynb_checkpoints/checks_for_new_hyrec_integrated_with_CLASS-checkpoint.ipynb
diff --git a/notebooks/recfast_fudge.ipynb b/notebooks/checks_for_new_hyrec_integrated_with_CLASS.ipynb
similarity index 56%
rename from notebooks/recfast_fudge.ipynb
rename to notebooks/checks_for_new_hyrec_integrated_with_CLASS.ipynb
index 8d49c942e..7a9c38a54 100644
--- a/notebooks/recfast_fudge.ipynb
+++ b/notebooks/checks_for_new_hyrec_integrated_with_CLASS.ipynb
@@ -1,26 +1,24 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Checking New HyREC Integrated with CLASS"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%load_ext autoreload"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -42,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -113,7 +111,7 @@
        "Text(0, 0.5, '$(C_\\\\ell - C_\\\\ell^\\\\mathrm{ref})/C_\\\\ell^\\\\mathrm{ref} [\\\\%]$')"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -194,7 +192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -204,16 +202,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
-    "z_xe_old = np.loadtxt('/Users/hongwan/desktop/LambdaCDM_z_xe.dat')"
+    "z_xe_old = np.loadtxt('./default_hyrec_recomb.dat')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -222,22 +220,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x12d7ef358>"
+       "<matplotlib.legend.Legend at 0x117832dd8>"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -261,16 +259,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
-    "l_Cltt_Clee_old = np.loadtxt('/Users/hongwan/desktop/LambdaCDM_l_Cltt_Clee.dat')"
+    "l_Cltt_Clee_old = np.loadtxt('./default_hyrec_Cls.dat')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -286,16 +284,16 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x13029ef28>"
+       "<matplotlib.legend.Legend at 0x121131860>"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -317,51 +315,44 @@
     "ratio_hyrec = cls_hyrec['tt']/l_Cltt_Clee_old[:,1]\n",
     "ratio_recfast = cls_recfast['tt']/l_Cltt_Clee_old[:,1]\n",
     "\n",
-    "plt_Cls_compare_hyrec, = plt.plot(ll_vec_hyrec, ratio_hyrec-1, label='new HyREC/old HyREC - 1')\n",
-    "plt_Cls_compare_recfast, = plt.plot(ll_vec_recfast, ratio_recfast-1, label='RECFAST/old HyREC - 1')\n",
+    "plt_Cls_compare_hyrec, = plt.plot(ll_vec_hyrec, np.abs(ratio_hyrec-1), label='new HyREC/old HyREC - 1')\n",
+    "plt_Cls_compare_recfast, = plt.plot(ll_vec_recfast, np.abs(ratio_recfast-1), label='RECFAST/old HyREC - 1')\n",
     "plt.legend()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/hongwan/anaconda/envs/python3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
-       "array([nan, nan,  0., ...,  0.,  0.,  0.])"
+       "array([        nan,         nan,  0.00031878, ..., -0.00120049,\n",
+       "       -0.00120167, -0.00120289])"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "cls_recfast['tt']/l_Cltt_Clee_old[:,1] - 1"
+    "ratio_recfast - 1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([ True,  True,  True, ...,  True,  True,  True])"
+       "array([ True,  True, False, ..., False, False, False])"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/notebooks/default_hyrec_Cls.dat b/notebooks/default_hyrec_Cls.dat
new file mode 100644
index 000000000..eb3794db0
--- /dev/null
+++ b/notebooks/default_hyrec_Cls.dat
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diff --git a/notebooks/default_hyrec_recomb.dat b/notebooks/default_hyrec_recomb.dat
new file mode 100644
index 000000000..28af91a88
--- /dev/null
+++ b/notebooks/default_hyrec_recomb.dat
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diff --git a/notebooks/test_xe.dat b/notebooks/test_xe.dat
index e86f7b765..421d73e52 100644
--- a/notebooks/test_xe.dat
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