diff --git a/tutorials/watpy_CoReDB.ipynb b/tutorials/watpy_CoReDB.ipynb
index bef96a926168a2f9b24a451c7e43d0947cbe5e62..0c3ab7747bd05cbdecf489c945d56af7327c0c48 100644
--- a/tutorials/watpy_CoReDB.ipynb
+++ b/tutorials/watpy_CoReDB.ipynb
@@ -103,19 +103,33 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Index not found, cloning...\n",
-      "\n",
-      "git-clone https://core-gitlfs.tpi.uni-jena.de/core_database/core_database_index.git ...\n",
-      " WARNING: 'git lfs clone' is deprecated and will not be updated\n",
-      "          with new flags from 'git clone'\n",
-      "\n",
-      "'git clone' has been updated in upstream Git to have comparable\n",
-      "speeds to 'git lfs clone'.\n",
-      "Cloning into 'core_database_index'...\n",
+      "Index found, updating...\n",
       "\n",
+      "git-pull core_database_index ...\n",
+      " \n",
       "done!\n",
+      " Found R01\n",
+      "Found THC:0012\n",
+      " Found R01\n",
+      "Found THC:0015\n",
+      " Found R01\n",
+      "Found THC:0017\n",
+      "skip THC_0038, not a DB key\n",
       "skip core_database_index, not a DB key\n",
-      "Found no simulation folders in ./CoRe_DB_clone/\n"
+      " Found R02\n",
+      " Found R01\n",
+      "Found THC:0013\n",
+      " Found R01\n",
+      "Found THC:0014\n",
+      "skip THC_0037, not a DB key\n",
+      "skip THC_0039, not a DB key\n",
+      " Found R01\n",
+      "Found THC:0010\n",
+      " Found R02\n",
+      " Found R01\n",
+      "Found THC:0016\n",
+      " Found R01\n",
+      "Found THC:0011\n"
      ]
     }
    ],
@@ -142,54 +156,62 @@
      "text": [
       "['BAM:0001', 'BAM:0002', 'BAM:0003', 'BAM:0004', 'BAM:0005', 'BAM:0006', 'BAM:0007', 'BAM:0008', 'BAM:0009', 'BAM:0010', 'BAM:0011', 'BAM:0012', 'BAM:0013', 'BAM:0014', 'BAM:0015', 'BAM:0016', 'BAM:0017', 'BAM:0018', 'BAM:0019', 'BAM:0020', 'BAM:0021', 'BAM:0022', 'BAM:0023', 'BAM:0024', 'BAM:0025', 'BAM:0026', 'BAM:0027', 'BAM:0028', 'BAM:0029', 'BAM:0030', 'BAM:0031', 'BAM:0032', 'BAM:0033', 'BAM:0034', 'BAM:0035', 'BAM:0036', 'BAM:0037', 'BAM:0038', 'BAM:0039', 'BAM:0040', 'BAM:0041', 'BAM:0042', 'BAM:0043', 'BAM:0044', 'BAM:0045', 'BAM:0046', 'BAM:0047', 'BAM:0048', 'BAM:0049', 'BAM:0050', 'BAM:0051', 'BAM:0052', 'BAM:0053', 'BAM:0054', 'BAM:0055', 'BAM:0056', 'BAM:0057', 'BAM:0058', 'BAM:0059', 'BAM:0060', 'BAM:0061', 'BAM:0062', 'BAM:0063', 'BAM:0064', 'BAM:0065', 'BAM:0066', 'BAM:0067', 'BAM:0068', 'BAM:0069', 'BAM:0070', 'BAM:0071', 'BAM:0072', 'BAM:0073', 'BAM:0074', 'BAM:0075', 'BAM:0076', 'BAM:0077', 'BAM:0078', 'BAM:0079', 'BAM:0080', 'BAM:0081', 'BAM:0082', 'BAM:0083', 'BAM:0084', 'BAM:0085', 'BAM:0086', 'BAM:0087', 'BAM:0088', 'BAM:0089', 'BAM:0090', 'BAM:0091', 'BAM:0092', 'BAM:0093', 'BAM:0094', 'BAM:0095', 'BAM:0096', 'BAM:0097', 'BAM:0098', 'BAM:0099', 'BAM:0100', 'BAM:0101', 'BAM:0102', 'BAM:0103', 'BAM:0104', 'BAM:0105', 'BAM:0106', 'BAM:0107', 'BAM:0108', 'BAM:0109', 'BAM:0110', 'BAM:0111', 'BAM:0112', 'BAM:0113', 'BAM:0114', 'BAM:0115', 'BAM:0116', 'BAM:0117', 'BAM:0118', 'BAM:0119', 'BAM:0120', 'BAM:0121', 'BAM:0122', 'BAM:0123', 'BAM:0124', 'BAM:0125', 'BAM:0126', 'BAM:0127', 'BAM:0128', 'THC:0001', 'THC:0002', 'THC:0003', 'THC:0004', 'THC:0005', 'THC:0006', 'THC:0007', 'THC:0008', 'THC:0009', 'THC:0010', 'THC:0011', 'THC:0012', 'THC:0013', 'THC:0014', 'THC:0015', 'THC:0016', 'THC:0017', 'THC:0018', 'THC:0019', 'THC:0020', 'THC:0021', 'THC:0022', 'THC:0023', 'THC:0024', 'THC:0025', 'THC:0026', 'THC:0027', 'THC:0028', 'THC:0029', 'THC:0030', 'THC:0031', 'THC:0032', 'THC:0033', 'THC:0034', 'THC:0035', 'THC:0036']\n",
       "  database_key = BAM:0001\n",
-      "  simulation_name = None\n",
-      "  available_resolutions = R01, R02, R03, R04\n",
-      "  reference_bibkeys = None\n",
-      "  id_code = None\n",
-      "  id_type = None\n",
-      "  id_mass = None\n",
-      "  id_rest_mass = None\n",
-      "  id_mass_ratio = None\n",
-      "  id_ADM_mass = None\n",
-      "  id_ADM_angularmomentum = None\n",
-      "  id_gw_frequency_Hz = None\n",
-      "  id_gw_frequency_Momega22 = 0.038\n",
+      "  available_runs = None\n",
+      "  simulation_name = 2B_1.350_1.350_0.00_0.00_0.038\n",
+      "  binary_type = None\n",
+      "  reference_bibkeys = Bernuzzi:2014owa\n",
+      "  id_code = LORENE\n",
+      "  id_type = Irrotational\n",
+      "  id_mass = 2.699952e+00\n",
+      "  id_rest_mass = 3.050133e+00\n",
+      "  id_mass_ratio = 1.000000e+00\n",
+      "  id_ADM_mass = 2.677624e+00\n",
+      "  id_ADM_angularmomentum = 7.662564e+00\n",
+      "  id_gw_frequency_Hz = 4.545056e+02\n",
+      "  id_gw_frequency_Momega22 = 3.797735e-02\n",
       "  id_eos = 2B\n",
-      "  id_kappa2T = None\n",
-      "  id_Lambda = None\n",
-      "  id_mass_starA = 1.350\n",
-      "  id_rest_mass_starA = None\n",
-      "  id_spin_starA = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starA = None\n",
-      "  id_Lambdaell_starA = None\n",
-      "  id_mass_starB = 1.350\n",
-      "  id_rest_mass_starB = None\n",
-      "  id_spin_starB = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starB = None\n",
-      "  id_Lambdaell_starB = None\n",
-      "  id_eccentricity = None\n",
+      "  id_kappa2T = 2.376117e+01\n",
+      "  id_Lambda = 1.267263e+02\n",
+      "  id_eccentricity = 7.092541e-03\n",
+      "  id_mass_starA = 1.349976e+00\n",
+      "  id_rest_mass_starA = 1.525067e+00\n",
+      "  id_spin_starA = 0, 0, 0\n",
+      "  id_LoveNum_kell_starA = 6.899000e-02, 1.746000e-02, 5.990000e-03\n",
+      "  id_Lambdaell_starA = 1.267263e+02, 1.524837e+02, 1.776546e+02\n",
+      "  id_mass_starB = 1.349976e+00\n",
+      "  id_rest_mass_starB = 1.525067e+00\n",
+      "  id_spin_starB = 0, 0, 0\n",
+      "  id_LoveNum_kell_starB = 6.899000e-02, 1.746000e-02, 5.990000e-03\n",
+      "  id_Lambdaell_starB = 1.267263e+02, 1.524837e+02, 1.776546e+02\n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
       "  grid_refinement_levels_npoints = None\n",
       "  grid_refinement_levels_moving_npoints = None\n",
-      "  grid_spacing_min = 0.093\n",
+      "  grid_spacing_min = None\n",
       "  grid_symmetries = None\n",
       "  grid_shells = None\n",
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
-      "  evolution_mol_scheme = None\n",
       "  number_of_orbits = None\n",
-      "  id_dimless_spin_starA = 0.00 ,0.00 ,0.00 \n",
-      "  id_dimless_spin_starB = 0.00 ,0.00 ,0.00 \n",
+      "  evolution_mol_scheme = None\n",
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
+      "  available_resolutions = R01, R02, R03, R04\n",
       "Shown 1 entries\n"
      ]
     }
@@ -224,7 +246,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -246,7 +268,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -282,397 +304,461 @@
      "output_type": "stream",
      "text": [
       "  database_key = THC:0010\n",
-      "  simulation_name = None\n",
-      "  available_resolutions = R01\n",
-      "  reference_bibkeys = None\n",
-      "  id_code = None\n",
-      "  id_type = None\n",
-      "  id_mass = None\n",
-      "  id_rest_mass = None\n",
-      "  id_mass_ratio = None\n",
-      "  id_ADM_mass = None\n",
-      "  id_ADM_angularmomentum = None\n",
-      "  id_gw_frequency_Hz = None\n",
-      "  id_gw_frequency_Momega22 = 0.047\n",
+      "  available_runs = None\n",
+      "  simulation_name = DD2_1.200_1.200_0.00_0.00_0.047\n",
+      "  binary_type = None\n",
+      "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
+      "  id_code = LORENE\n",
+      "  id_type = Irrotational\n",
+      "  id_mass = 2.4\n",
+      "  id_rest_mass = 2.59384\n",
+      "  id_mass_ratio = 1.0\n",
+      "  id_ADM_mass = 2.38178\n",
+      "  id_ADM_angularmomentum = 5.75981\n",
+      "  id_gw_frequency_Hz = 633.08\n",
+      "  id_gw_frequency_Momega22 = 0.0470247001245\n",
       "  id_eos = DD2\n",
-      "  id_kappa2T = None\n",
-      "  id_Lambda = None\n",
-      "  id_mass_starA = 1.200\n",
-      "  id_rest_mass_starA = None\n",
-      "  id_spin_starA = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starA = None\n",
-      "  id_Lambdaell_starA = None\n",
-      "  id_mass_starB = 1.200\n",
-      "  id_rest_mass_starB = None\n",
-      "  id_spin_starB = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starB = None\n",
-      "  id_Lambdaell_starB = None\n",
-      "  id_eccentricity = None\n",
+      "  id_kappa2T = 302.2965055328028\n",
+      "  id_Lambda = 1612.2480295082828\n",
+      "  id_eccentricity = \n",
+      "  id_mass_starA = 1.2\n",
+      "  id_rest_mass_starA = 1.29692\n",
+      "  id_spin_starA = 0, 0, 0\n",
+      "  id_LoveNum_kell_starA = 0.10752, 0.02943, 0.01096\n",
+      "  id_Lambdaell_starA = 1612.2480295082821, 4859.330076873647, 14233.516050669448\n",
+      "  id_mass_starB = 1.2\n",
+      "  id_rest_mass_starB = 1.29692\n",
+      "  id_spin_starB = 0, 0, 0\n",
+      "  id_LoveNum_kell_starB = 0.10752, 0.02943, 0.01096\n",
+      "  id_Lambdaell_starB = 1612.2480295082821, 4859.330076873647, 14233.516050669448\n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
       "  grid_refinement_levels_npoints = None\n",
       "  grid_refinement_levels_moving_npoints = None\n",
-      "  grid_spacing_min = 0.125\n",
+      "  grid_spacing_min = None\n",
       "  grid_symmetries = None\n",
       "  grid_shells = None\n",
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
-      "  evolution_mol_scheme = None\n",
       "  number_of_orbits = None\n",
-      "  id_dimless_spin_starA = 0.00 ,0.00 ,0.00 \n",
-      "  id_dimless_spin_starB = 0.00 ,0.00 ,0.00 \n",
-      "  database_key = THC:0011\n",
-      "  simulation_name = None\n",
+      "  evolution_mol_scheme = None\n",
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
       "  available_resolutions = R01\n",
-      "  reference_bibkeys = None\n",
-      "  id_code = None\n",
-      "  id_type = None\n",
-      "  id_mass = None\n",
-      "  id_rest_mass = None\n",
-      "  id_mass_ratio = None\n",
-      "  id_ADM_mass = None\n",
-      "  id_ADM_angularmomentum = None\n",
-      "  id_gw_frequency_Hz = None\n",
-      "  id_gw_frequency_Momega22 = 0.050\n",
+      "  database_key = THC:0011\n",
+      "  available_runs = None\n",
+      "  simulation_name = DD2_1.250_1.250_0.00_0.00_0.050\n",
+      "  binary_type = None\n",
+      "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
+      "  id_code = LORENE\n",
+      "  id_type = Irrotational\n",
+      "  id_mass = 2.5\n",
+      "  id_rest_mass = 2.70598\n",
+      "  id_mass_ratio = 1.0\n",
+      "  id_ADM_mass = 2.47564\n",
+      "  id_ADM_angularmomentum = 6.16715\n",
+      "  id_gw_frequency_Hz = 644.684\n",
+      "  id_gw_frequency_Momega22 = 0.0498819129216\n",
       "  id_eos = DD2\n",
-      "  id_kappa2T = None\n",
-      "  id_Lambda = None\n",
-      "  id_mass_starA = 1.250\n",
-      "  id_rest_mass_starA = None\n",
-      "  id_spin_starA = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starA = None\n",
-      "  id_Lambdaell_starA = None\n",
-      "  id_mass_starB = 1.250\n",
-      "  id_rest_mass_starB = None\n",
-      "  id_spin_starB = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starB = None\n",
-      "  id_Lambdaell_starB = None\n",
-      "  id_eccentricity = None\n",
+      "  id_kappa2T = 242.86873383835237\n",
+      "  id_Lambda = 1295.299913804546\n",
+      "  id_eccentricity = \n",
+      "  id_mass_starA = 1.25\n",
+      "  id_rest_mass_starA = 1.35299\n",
+      "  id_spin_starA = 0, 0, 0\n",
+      "  id_LoveNum_kell_starA = 0.10517, 0.02864, 0.01061\n",
+      "  id_Lambdaell_starA = 1295.2999138045457, 3590.1232699912975, 9669.000432709556\n",
+      "  id_mass_starB = 1.25\n",
+      "  id_rest_mass_starB = 1.35299\n",
+      "  id_spin_starB = 0, 0, 0\n",
+      "  id_LoveNum_kell_starB = 0.10517, 0.02864, 0.01061\n",
+      "  id_Lambdaell_starB = 1295.2999138045457, 3590.1232699912975, 9669.000432709556\n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
       "  grid_refinement_levels_npoints = None\n",
       "  grid_refinement_levels_moving_npoints = None\n",
-      "  grid_spacing_min = 0.125\n",
+      "  grid_spacing_min = None\n",
       "  grid_symmetries = None\n",
       "  grid_shells = None\n",
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
-      "  evolution_mol_scheme = None\n",
       "  number_of_orbits = None\n",
-      "  id_dimless_spin_starA = 0.00 ,0.00 ,0.00 \n",
-      "  id_dimless_spin_starB = 0.00 ,0.00 ,0.00 \n",
-      "  database_key = THC:0012\n",
-      "  simulation_name = None\n",
+      "  evolution_mol_scheme = None\n",
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
       "  available_resolutions = R01\n",
-      "  reference_bibkeys = None\n",
-      "  id_code = None\n",
-      "  id_type = None\n",
-      "  id_mass = None\n",
-      "  id_rest_mass = None\n",
-      "  id_mass_ratio = None\n",
-      "  id_ADM_mass = None\n",
-      "  id_ADM_angularmomentum = None\n",
-      "  id_gw_frequency_Hz = None\n",
-      "  id_gw_frequency_Momega22 = 0.053\n",
+      "  database_key = THC:0012\n",
+      "  available_runs = None\n",
+      "  simulation_name = DD2_1.300_1.300_0.00_0.00_0.053\n",
+      "  binary_type = None\n",
+      "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
+      "  id_code = LORENE\n",
+      "  id_type = Irrotational\n",
+      "  id_mass = 2.6\n",
+      "  id_rest_mass = 2.83144\n",
+      "  id_mass_ratio = 1.0\n",
+      "  id_ADM_mass = 2.5796\n",
+      "  id_ADM_angularmomentum = 6.60881\n",
+      "  id_gw_frequency_Hz = 654.862\n",
+      "  id_gw_frequency_Momega22 = 0.0526962046988\n",
       "  id_eos = DD2\n",
-      "  id_kappa2T = None\n",
-      "  id_Lambda = None\n",
-      "  id_mass_starA = 1.300\n",
-      "  id_rest_mass_starA = None\n",
-      "  id_spin_starA = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starA = None\n",
-      "  id_Lambdaell_starA = None\n",
-      "  id_mass_starB = 1.300\n",
-      "  id_rest_mass_starB = None\n",
-      "  id_spin_starB = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starB = None\n",
-      "  id_Lambdaell_starB = None\n",
-      "  id_eccentricity = None\n",
+      "  id_kappa2T = 196.0638677357165\n",
+      "  id_Lambda = 1045.6739612571548\n",
+      "  id_eccentricity = \n",
+      "  id_mass_starA = 1.3\n",
+      "  id_rest_mass_starA = 1.41572\n",
+      "  id_spin_starA = 0, 0, 0\n",
+      "  id_LoveNum_kell_starA = 0.10267, 0.02781, 0.01024\n",
+      "  id_Lambdaell_starA = 1045.6739612571548, 2671.7838008750186, 6628.5698390834705\n",
+      "  id_mass_starB = 1.3\n",
+      "  id_rest_mass_starB = 1.41572\n",
+      "  id_spin_starB = 0, 0, 0\n",
+      "  id_LoveNum_kell_starB = 0.10267, 0.02781, 0.01024\n",
+      "  id_Lambdaell_starB = 1045.6739612571548, 2671.7838008750186, 6628.5698390834705\n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
       "  grid_refinement_levels_npoints = None\n",
       "  grid_refinement_levels_moving_npoints = None\n",
-      "  grid_spacing_min = 0.125\n",
+      "  grid_spacing_min = None\n",
       "  grid_symmetries = None\n",
       "  grid_shells = None\n",
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
-      "  evolution_mol_scheme = None\n",
       "  number_of_orbits = None\n",
-      "  id_dimless_spin_starA = 0.00 ,0.00 ,0.00 \n",
-      "  id_dimless_spin_starB = 0.00 ,0.00 ,0.00 \n",
+      "  evolution_mol_scheme = None\n",
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
+      "  available_resolutions = R01\n",
       "  database_key = THC:0013\n",
-      "  simulation_name = None\n",
-      "  available_resolutions = R01, R02\n",
-      "  reference_bibkeys = None\n",
-      "  id_code = None\n",
-      "  id_type = None\n",
-      "  id_mass = None\n",
-      "  id_rest_mass = None\n",
-      "  id_mass_ratio = None\n",
-      "  id_ADM_mass = None\n",
-      "  id_ADM_angularmomentum = None\n",
-      "  id_gw_frequency_Hz = None\n",
-      "  id_gw_frequency_Momega22 = 0.055\n",
+      "  available_runs = None\n",
+      "  simulation_name = DD2_1.350_1.350_0.00_0.00_0.055\n",
+      "  binary_type = None\n",
+      "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
+      "  id_code = LORENE\n",
+      "  id_type = Irrotational\n",
+      "  id_mass = 2.7\n",
+      "  id_rest_mass = 2.94554\n",
+      "  id_mass_ratio = 1.0\n",
+      "  id_ADM_mass = 2.67288\n",
+      "  id_ADM_angularmomentum = 7.01514\n",
+      "  id_gw_frequency_Hz = 663.58\n",
+      "  id_gw_frequency_Momega22 = 0.0554514940011\n",
       "  id_eos = DD2\n",
-      "  id_kappa2T = None\n",
-      "  id_Lambda = None\n",
-      "  id_mass_starA = 1.350\n",
-      "  id_rest_mass_starA = None\n",
-      "  id_spin_starA = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starA = None\n",
-      "  id_Lambdaell_starA = None\n",
-      "  id_mass_starB = 1.350\n",
-      "  id_rest_mass_starB = None\n",
-      "  id_spin_starB = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starB = None\n",
-      "  id_Lambdaell_starB = None\n",
-      "  id_eccentricity = None\n",
+      "  id_kappa2T = 159.0084296249798\n",
+      "  id_Lambda = 848.0449579998918\n",
+      "  id_eccentricity = \n",
+      "  id_mass_starA = 1.35\n",
+      "  id_rest_mass_starA = 1.47277\n",
+      "  id_spin_starA = 0, 0, 0\n",
+      "  id_LoveNum_kell_starA = 0.09996, 0.0269, 0.00984\n",
+      "  id_Lambdaell_starA = 848.0449579998921, 2001.0063178210328, 4584.234164607441\n",
+      "  id_mass_starB = 1.35\n",
+      "  id_rest_mass_starB = 1.47277\n",
+      "  id_spin_starB = 0, 0, 0\n",
+      "  id_LoveNum_kell_starB = 0.09996, 0.0269, 0.00984\n",
+      "  id_Lambdaell_starB = 848.0449579998921, 2001.0063178210328, 4584.234164607441\n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
       "  grid_refinement_levels_npoints = None\n",
       "  grid_refinement_levels_moving_npoints = None\n",
-      "  grid_spacing_min = 0.083\n",
+      "  grid_spacing_min = None\n",
       "  grid_symmetries = None\n",
       "  grid_shells = None\n",
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
-      "  evolution_mol_scheme = None\n",
       "  number_of_orbits = None\n",
-      "  id_dimless_spin_starA = 0.00 ,0.00 ,0.00 \n",
-      "  id_dimless_spin_starB = 0.00 ,0.00 ,0.00 \n",
+      "  evolution_mol_scheme = None\n",
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
+      "  available_resolutions = R01, R02\n",
       "  database_key = THC:0014\n",
-      "  simulation_name = None\n",
-      "  available_resolutions = R01\n",
-      "  reference_bibkeys = None\n",
-      "  id_code = None\n",
-      "  id_type = None\n",
-      "  id_mass = None\n",
-      "  id_rest_mass = None\n",
-      "  id_mass_ratio = None\n",
-      "  id_ADM_mass = None\n",
-      "  id_ADM_angularmomentum = None\n",
-      "  id_gw_frequency_Hz = None\n",
-      "  id_gw_frequency_Momega22 = 0.053\n",
+      "  available_runs = None\n",
+      "  simulation_name = DD2_1.365_1.250_0.00_0.00_0.053\n",
+      "  binary_type = None\n",
+      "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
+      "  id_code = LORENE\n",
+      "  id_type = Irrotational\n",
+      "  id_mass = 2.615\n",
+      "  id_rest_mass = 2.84344\n",
+      "  id_mass_ratio = 1.092\n",
+      "  id_ADM_mass = 2.58906\n",
+      "  id_ADM_angularmomentum = 6.63885\n",
+      "  id_gw_frequency_Hz = 656\n",
+      "  id_gw_frequency_Momega22 = 0.0530923234963\n",
       "  id_eos = DD2\n",
-      "  id_kappa2T = None\n",
-      "  id_Lambda = None\n",
+      "  id_kappa2T = 190.76860956190075\n",
+      "  id_Lambda = 1016.9753576332756\n",
+      "  id_eccentricity = \n",
       "  id_mass_starA = 1.365\n",
-      "  id_rest_mass_starA = None\n",
-      "  id_spin_starA = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starA = None\n",
-      "  id_Lambdaell_starA = None\n",
-      "  id_mass_starB = 1.250\n",
-      "  id_rest_mass_starB = None\n",
-      "  id_spin_starB = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starB = None\n",
-      "  id_Lambdaell_starB = None\n",
-      "  id_eccentricity = None\n",
+      "  id_rest_mass_starA = 1.49103\n",
+      "  id_spin_starA = 0, 0, 0\n",
+      "  id_LoveNum_kell_starA = 0.09914, 0.02663, 0.00972\n",
+      "  id_Lambdaell_starA = 797.1340585207874, 1837.5243240619836, 4111.304457549288\n",
+      "  id_mass_starB = 1.25\n",
+      "  id_rest_mass_starB = 1.35241\n",
+      "  id_spin_starB = 0, 0, 0\n",
+      "  id_LoveNum_kell_starB = 0.10517, 0.02864, 0.01061\n",
+      "  id_Lambdaell_starB = 1295.2999138045457, 3590.1232699912975, 9669.000432709556\n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
       "  grid_refinement_levels_npoints = None\n",
       "  grid_refinement_levels_moving_npoints = None\n",
-      "  grid_spacing_min = 0.125\n",
+      "  grid_spacing_min = None\n",
       "  grid_symmetries = None\n",
       "  grid_shells = None\n",
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
-      "  evolution_mol_scheme = None\n",
       "  number_of_orbits = None\n",
-      "  id_dimless_spin_starA = 0.00 ,0.00 ,0.00 \n",
-      "  id_dimless_spin_starB = 0.00 ,0.00 ,0.00 \n",
-      "  database_key = THC:0015\n",
-      "  simulation_name = None\n",
+      "  evolution_mol_scheme = None\n",
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
       "  available_resolutions = R01\n",
-      "  reference_bibkeys = None\n",
-      "  id_code = None\n",
-      "  id_type = None\n",
-      "  id_mass = None\n",
-      "  id_rest_mass = None\n",
-      "  id_mass_ratio = None\n",
-      "  id_ADM_mass = None\n",
-      "  id_ADM_angularmomentum = None\n",
-      "  id_gw_frequency_Hz = None\n",
-      "  id_gw_frequency_Momega22 = 0.053\n",
+      "  database_key = THC:0015\n",
+      "  available_runs = None\n",
+      "  simulation_name = DD2_1.400_1.200_0.00_0.00_0.053\n",
+      "  binary_type = None\n",
+      "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
+      "  id_code = LORENE\n",
+      "  id_type = Irrotational\n",
+      "  id_mass = 2.6\n",
+      "  id_rest_mass = 2.82946\n",
+      "  id_mass_ratio = 1.16666666667\n",
+      "  id_ADM_mass = 2.57644\n",
+      "  id_ADM_angularmomentum = 6.53749\n",
+      "  id_gw_frequency_Hz = 652.714\n",
+      "  id_gw_frequency_Momega22 = 0.0525233569115\n",
       "  id_eos = DD2\n",
-      "  id_kappa2T = None\n",
-      "  id_Lambda = None\n",
-      "  id_mass_starA = 1.400\n",
-      "  id_rest_mass_starA = None\n",
-      "  id_spin_starA = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starA = None\n",
-      "  id_Lambdaell_starA = None\n",
-      "  id_mass_starB = 1.200\n",
-      "  id_rest_mass_starB = None\n",
-      "  id_spin_starB = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starB = None\n",
-      "  id_Lambdaell_starB = None\n",
-      "  id_eccentricity = None\n",
+      "  id_kappa2T = 198.5671528237351\n",
+      "  id_Lambda = 1057.5952309682204\n",
+      "  id_eccentricity = \n",
+      "  id_mass_starA = 1.4\n",
+      "  id_rest_mass_starA = 1.53253\n",
+      "  id_spin_starA = 0, 0, 0\n",
+      "  id_LoveNum_kell_starA = 0.09713, 0.02596, 0.00942\n",
+      "  id_Lambdaell_starA = 690.6300963090755, 1508.0652869857847, 3193.461363781705\n",
+      "  id_mass_starB = 1.2\n",
+      "  id_rest_mass_starB = 1.29693\n",
+      "  id_spin_starB = 0, 0, 0\n",
+      "  id_LoveNum_kell_starB = 0.10752, 0.02943, 0.01096\n",
+      "  id_Lambdaell_starB = 1612.2480295082821, 4859.330076873647, 14233.516050669448\n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
       "  grid_refinement_levels_npoints = None\n",
       "  grid_refinement_levels_moving_npoints = None\n",
-      "  grid_spacing_min = 0.125\n",
+      "  grid_spacing_min = None\n",
       "  grid_symmetries = None\n",
       "  grid_shells = None\n",
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
-      "  evolution_mol_scheme = None\n",
       "  number_of_orbits = None\n",
-      "  id_dimless_spin_starA = 0.00 ,0.00 ,0.00 \n",
-      "  id_dimless_spin_starB = 0.00 ,0.00 ,0.00 \n",
+      "  evolution_mol_scheme = None\n",
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
+      "  available_resolutions = R01\n",
       "  database_key = THC:0016\n",
-      "  simulation_name = None\n",
-      "  available_resolutions = R01, R02\n",
-      "  reference_bibkeys = None\n",
-      "  id_code = None\n",
-      "  id_type = None\n",
-      "  id_mass = None\n",
-      "  id_rest_mass = None\n",
-      "  id_mass_ratio = None\n",
-      "  id_ADM_mass = None\n",
-      "  id_ADM_angularmomentum = None\n",
-      "  id_gw_frequency_Hz = None\n",
-      "  id_gw_frequency_Momega22 = 0.058\n",
+      "  available_runs = None\n",
+      "  simulation_name = DD2_1.400_1.400_0.00_0.00_0.058\n",
+      "  binary_type = None\n",
+      "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
+      "  id_code = LORENE\n",
+      "  id_type = Irrotational\n",
+      "  id_mass = 2.8\n",
+      "  id_rest_mass = 3.06508\n",
+      "  id_mass_ratio = 1.0\n",
+      "  id_ADM_mass = 2.77062\n",
+      "  id_ADM_angularmomentum = 7.44301\n",
+      "  id_gw_frequency_Hz = 671.364\n",
+      "  id_gw_frequency_Momega22 = 0.0581798075601\n",
       "  id_eos = DD2\n",
-      "  id_kappa2T = None\n",
-      "  id_Lambda = None\n",
-      "  id_mass_starA = 1.400\n",
-      "  id_rest_mass_starA = None\n",
-      "  id_spin_starA = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starA = None\n",
-      "  id_Lambdaell_starA = None\n",
-      "  id_mass_starB = 1.400\n",
-      "  id_rest_mass_starB = None\n",
-      "  id_spin_starB = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starB = None\n",
-      "  id_Lambdaell_starB = None\n",
-      "  id_eccentricity = None\n",
+      "  id_kappa2T = 129.4931430579516\n",
+      "  id_Lambda = 690.6300963090752\n",
+      "  id_eccentricity = \n",
+      "  id_mass_starA = 1.4\n",
+      "  id_rest_mass_starA = 1.53254\n",
+      "  id_spin_starA = 0, 0, 0\n",
+      "  id_LoveNum_kell_starA = 0.09713, 0.02596, 0.00942\n",
+      "  id_Lambdaell_starA = 690.6300963090755, 1508.0652869857847, 3193.461363781705\n",
+      "  id_mass_starB = 1.4\n",
+      "  id_rest_mass_starB = 1.53254\n",
+      "  id_spin_starB = 0, 0, 0\n",
+      "  id_LoveNum_kell_starB = 0.09713, 0.02596, 0.00942\n",
+      "  id_Lambdaell_starB = 690.6300963090755, 1508.0652869857847, 3193.461363781705\n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
       "  grid_refinement_levels_npoints = None\n",
       "  grid_refinement_levels_moving_npoints = None\n",
-      "  grid_spacing_min = 0.083\n",
+      "  grid_spacing_min = None\n",
       "  grid_symmetries = None\n",
       "  grid_shells = None\n",
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
-      "  evolution_mol_scheme = None\n",
       "  number_of_orbits = None\n",
-      "  id_dimless_spin_starA = 0.00 ,0.00 ,0.00 \n",
-      "  id_dimless_spin_starB = 0.00 ,0.00 ,0.00 \n",
+      "  evolution_mol_scheme = None\n",
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
+      "  available_resolutions = R01, R02\n",
       "  database_key = THC:0017\n",
-      "  simulation_name = None\n",
-      "  available_resolutions = R01\n",
-      "  reference_bibkeys = None\n",
-      "  id_code = None\n",
-      "  id_type = None\n",
-      "  id_mass = None\n",
-      "  id_rest_mass = None\n",
-      "  id_mass_ratio = None\n",
-      "  id_ADM_mass = None\n",
-      "  id_ADM_angularmomentum = None\n",
-      "  id_gw_frequency_Hz = None\n",
-      "  id_gw_frequency_Momega22 = 0.064\n",
+      "  available_runs = None\n",
+      "  simulation_name = DD2_1.500_1.500_0.00_0.00_0.064\n",
+      "  binary_type = None\n",
+      "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
+      "  id_code = LORENE\n",
+      "  id_type = Irrotational\n",
+      "  id_mass = 3.0\n",
+      "  id_rest_mass = 3.313\n",
+      "  id_mass_ratio = 1.0\n",
+      "  id_ADM_mass = 2.9703\n",
+      "  id_ADM_angularmomentum = 8.39708\n",
+      "  id_gw_frequency_Hz = 689.77\n",
+      "  id_gw_frequency_Momega22 = 0.0640444876732\n",
       "  id_eos = DD2\n",
-      "  id_kappa2T = None\n",
-      "  id_Lambda = None\n",
-      "  id_mass_starA = 1.500\n",
-      "  id_rest_mass_starA = None\n",
-      "  id_spin_starA = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starA = None\n",
-      "  id_Lambdaell_starA = None\n",
-      "  id_mass_starB = 1.500\n",
-      "  id_rest_mass_starB = None\n",
-      "  id_spin_starB = 0.00, 0.00, 0.00\n",
-      "  id_LoveNum_kell_starB = None\n",
-      "  id_Lambdaell_starB = None\n",
-      "  id_eccentricity = None\n",
+      "  id_kappa2T = 86.72854370841495\n",
+      "  id_Lambda = 462.5522331115464\n",
+      "  id_eccentricity = \n",
+      "  id_mass_starA = 1.5\n",
+      "  id_rest_mass_starA = 1.6565\n",
+      "  id_spin_starA = 0, 0, 0\n",
+      "  id_LoveNum_kell_starA = 0.09118, 0.024, 0.00857\n",
+      "  id_Lambdaell_starA = 462.55223311154634, 869.0472962917256, 1582.18015973377\n",
+      "  id_mass_starB = 1.5\n",
+      "  id_rest_mass_starB = 1.6565\n",
+      "  id_spin_starB = 0, 0, 0\n",
+      "  id_LoveNum_kell_starB = 0.09118, 0.024, 0.00857\n",
+      "  id_Lambdaell_starB = 462.55223311154634, 869.0472962917256, 1582.18015973377\n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
       "  grid_refinement_levels_npoints = None\n",
       "  grid_refinement_levels_moving_npoints = None\n",
-      "  grid_spacing_min = 0.125\n",
+      "  grid_spacing_min = None\n",
       "  grid_symmetries = None\n",
       "  grid_shells = None\n",
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
-      "  evolution_mol_scheme = None\n",
       "  number_of_orbits = None\n",
-      "  id_dimless_spin_starA = 0.00 ,0.00 ,0.00 \n",
-      "  id_dimless_spin_starB = 0.00 ,0.00 ,0.00 \n"
+      "  evolution_mol_scheme = None\n",
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
+      "  available_resolutions = R01\n"
      ]
     }
    ],
@@ -746,41 +832,44 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "git-clone https://core-gitlfs.tpi.uni-jena.de/core_database/THC_0010.git ...\n",
+      "git-pull THC_0010 ...\n",
       "done!\n",
-      "git-clone https://core-gitlfs.tpi.uni-jena.de/core_database/THC_0011.git ...\n",
+      "git-pull THC_0011 ...\n",
       "done!\n",
-      "git-clone https://core-gitlfs.tpi.uni-jena.de/core_database/THC_0012.git ...\n",
+      "git-pull THC_0012 ...\n",
       "done!\n",
-      "git-clone https://core-gitlfs.tpi.uni-jena.de/core_database/THC_0013.git ...\n",
+      "git-pull THC_0013 ...\n",
       "done!\n",
-      "git-clone https://core-gitlfs.tpi.uni-jena.de/core_database/THC_0014.git ...\n",
+      "git-pull THC_0014 ...\n",
       "done!\n",
-      "git-clone https://core-gitlfs.tpi.uni-jena.de/core_database/THC_0015.git ...\n",
+      "git-pull THC_0015 ...\n",
       "done!\n",
-      "git-clone https://core-gitlfs.tpi.uni-jena.de/core_database/THC_0016.git ...\n",
+      "git-pull THC_0016 ...\n",
       "done!\n",
-      "git-clone https://core-gitlfs.tpi.uni-jena.de/core_database/THC_0017.git ...\n",
+      "git-pull THC_0017 ...\n",
       "done!\n",
       " Found R01\n",
       "Found THC:0012\n",
-      " Found R02\n",
-      " Found R01\n",
-      "Found THC:0013\n",
       " Found R01\n",
       "Found THC:0015\n",
+      " Found R01\n",
+      "Found THC:0017\n",
+      "skip THC_0038, not a DB key\n",
+      "skip core_database_index, not a DB key\n",
       " Found R02\n",
       " Found R01\n",
-      "Found THC:0016\n",
+      "Found THC:0013\n",
       " Found R01\n",
-      "Found THC:0010\n",
+      "Found THC:0014\n",
+      "skip THC_0037, not a DB key\n",
+      "skip THC_0039, not a DB key\n",
       " Found R01\n",
-      "Found THC:0017\n",
+      "Found THC:0010\n",
+      " Found R02\n",
       " Found R01\n",
-      "Found THC:0011\n",
+      "Found THC:0016\n",
       " Found R01\n",
-      "Found THC:0014\n",
-      "skip core_database_index, not a DB key\n"
+      "Found THC:0011\n"
      ]
     }
    ],
@@ -804,11 +893,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "dict_keys(['THC:0012', 'THC:0013', 'THC:0015', 'THC:0016', 'THC:0010', 'THC:0017', 'THC:0011', 'THC:0014'])\n",
-      "{'R02': <watpy.coredb.coredb.CoRe_run object at 0x7f273c3c9198>, 'R01': <watpy.coredb.coredb.CoRe_run object at 0x7f273c40bd30>}\n",
-      "<watpy.coredb.coredb.CoRe_run object at 0x7f273c40bd30>\n",
-      "<watpy.utils.coreh5.CoRe_h5 object at 0x7f273c40ba20>\n",
-      "<watpy.coredb.metadata.CoRe_md object at 0x7f273c40b358>\n"
+      "dict_keys(['THC:0012', 'THC:0015', 'THC:0017', 'THC:0013', 'THC:0014', 'THC:0010', 'THC:0016', 'THC:0011'])\n",
+      "{'R02': <watpy.coredb.coredb.CoRe_run object at 0x7fa50a57b0a0>, 'R01': <watpy.coredb.coredb.CoRe_run object at 0x7fa5442889d0>}\n",
+      "<watpy.coredb.coredb.CoRe_run object at 0x7fa5442889d0>\n",
+      "<watpy.utils.coreh5.CoRe_h5 object at 0x7fa50a57b220>\n",
+      "<watpy.coredb.metadata.CoRe_md object at 0x7fa544288520>\n"
      ]
     }
    ],
@@ -867,8 +956,9 @@
      "output_type": "stream",
      "text": [
       "  database_key = THC:0013\n",
+      "  available_runs = None\n",
       "  simulation_name = DD2_1.350_1.350_0.00_0.00_0.055\n",
-      "  available_resolutions = R01, R02\n",
+      "  binary_type = None\n",
       "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
       "  id_code = LORENE\n",
       "  id_type = Irrotational\n",
@@ -882,6 +972,7 @@
       "  id_eos = DD2\n",
       "  id_kappa2T = 159.0084296249798\n",
       "  id_Lambda = 848.0449579998918\n",
+      "  id_eccentricity = \n",
       "  id_mass_starA = 1.35\n",
       "  id_rest_mass_starA = 1.47277\n",
       "  id_spin_starA = 0, 0, 0\n",
@@ -892,7 +983,6 @@
       "  id_spin_starB = 0, 0, 0\n",
       "  id_LoveNum_kell_starB = 0.09996, 0.0269, 0.00984\n",
       "  id_Lambdaell_starB = 848.0449579998921, 2001.0063178210328, 4584.234164607441\n",
-      "  id_eccentricity = \n",
       "  evolution_code = None\n",
       "  grid_refinement_levels = None\n",
       "  grid_refinement_levels_moving = None\n",
@@ -904,15 +994,24 @@
       "  grid_shells_radial_npoints = None\n",
       "  grid_shells_angular_npoints = None\n",
       "  grid_conservative_amr = None\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = None\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = None\n",
       "  hydro_flux = None\n",
       "  hydro_reconstruction = None\n",
       "  hydro_atmosphere_level = None\n",
       "  hydro_atmosphere_factor = None\n",
+      "  number_of_orbits = None\n",
       "  evolution_mol_scheme = None\n",
-      "  number_of_orbits = None\n"
+      "  eos_evolution_Gamma_thermal = None\n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n",
+      "  available_resolutions = R01, R02\n"
      ]
     }
    ],
@@ -965,8 +1064,9 @@
      "output_type": "stream",
      "text": [
       "  database_key = THC:0013:R01\n",
+      "  available_runs = None\n",
       "  simulation_name = DD2_1.350_1.350_0.00_0.00_0.055_0.083\n",
-      "  available_resolutions = None\n",
+      "  binary_type = None\n",
       "  reference_bibkeys = Radice:2016rys Radice:2017lry\n",
       "  id_code = LORENE\n",
       "  id_type = Irrotational\n",
@@ -980,6 +1080,7 @@
       "  id_eos = DD2\n",
       "  id_kappa2T = 159.0084296249798\n",
       "  id_Lambda = 848.0449579998918\n",
+      "  id_eccentricity = \n",
       "  id_mass_starA = 1.35\n",
       "  id_rest_mass_starA = 1.47277\n",
       "  id_spin_starA = 0, 0, 0\n",
@@ -990,7 +1091,6 @@
       "  id_spin_starB = 0, 0, 0\n",
       "  id_LoveNum_kell_starB = 0.09996, 0.0269, 0.00984\n",
       "  id_Lambdaell_starB = 848.0449579998921, 2001.0063178210328, 4584.234164607441\n",
-      "  id_eccentricity = \n",
       "  evolution_code = THC\n",
       "  grid_refinement_levels = 7\n",
       "  grid_refinement_levels_moving = \n",
@@ -1002,15 +1102,23 @@
       "  grid_shells_radial_npoints = \n",
       "  grid_shells_angular_npoints = \n",
       "  grid_conservative_amr = yes\n",
+      "  subgrid_model = None\n",
       "  metric_scheme = Z4c\n",
       "  metric_boundary_conditions = None\n",
-      "  eos_evolution_Gamma_thermal = \n",
       "  hydro_flux = HLLE\n",
       "  hydro_reconstruction = MP5\n",
       "  hydro_atmosphere_level = 1.000000e-14\n",
       "  hydro_atmosphere_factor = 0.000000\n",
+      "  number_of_orbits = 3.071418e+00\n",
       "  evolution_mol_scheme = RK3\n",
-      "  number_of_orbits = 3.071418e+00\n"
+      "  eos_evolution_Gamma_thermal = \n",
+      "  neutrino_scheme = None\n",
+      "  id_gw_NR_frequency_Hz = None\n",
+      "  Hybrid_window_freq_Hz = None\n",
+      "  TEOB_Lambda_starA = None\n",
+      "  TEOB_Lambda_starB = None\n",
+      "  TEOB_version = None\n",
+      "  NR_simulation_key = None\n"
      ]
     }
    ],
@@ -1038,7 +1146,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<watpy.utils.coreh5.CoRe_h5 object at 0x7f273c40ba20>\n",
+      "<watpy.utils.coreh5.CoRe_h5 object at 0x7fa50a57b220>\n",
       "data.h5\n"
      ]
     }
@@ -1074,7 +1182,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Removed 16 files\n"
+      "Removed 3 files\n"
      ]
     }
    ],
@@ -1096,7 +1204,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1129,38 +1237,66 @@
      "text": [
       "energy\n",
       "energy/EJ_r00400.txt\n",
+      "rh_00\n",
+      "rh_00/Rh_l0_m0_r00400.txt\n",
+      "rh_10\n",
+      "rh_10/Rh_l1_m0_r00400.txt\n",
+      "rh_11\n",
+      "rh_11/Rh_l1_m1_r00400.txt\n",
+      "rh_20\n",
+      "rh_20/Rh_l2_m0_r00400.txt\n",
+      "rh_21\n",
+      "rh_21/Rh_l2_m1_r00400.txt\n",
       "rh_22\n",
-      "rh_22/Rh_l0_m0_r00400.txt\n",
-      "rh_22/Rh_l1_m0_r00400.txt\n",
-      "rh_22/Rh_l1_m1_r00400.txt\n",
-      "rh_22/Rh_l2_m0_r00400.txt\n",
-      "rh_22/Rh_l2_m1_r00400.txt\n",
       "rh_22/Rh_l2_m2_r00400.txt\n",
-      "rh_22/Rh_l3_m0_r00400.txt\n",
-      "rh_22/Rh_l3_m1_r00400.txt\n",
-      "rh_22/Rh_l3_m2_r00400.txt\n",
-      "rh_22/Rh_l3_m3_r00400.txt\n",
-      "rh_22/Rh_l4_m0_r00400.txt\n",
-      "rh_22/Rh_l4_m1_r00400.txt\n",
-      "rh_22/Rh_l4_m2_r00400.txt\n",
-      "rh_22/Rh_l4_m3_r00400.txt\n",
-      "rh_22/Rh_l4_m4_r00400.txt\n",
+      "rh_30\n",
+      "rh_30/Rh_l3_m0_r00400.txt\n",
+      "rh_31\n",
+      "rh_31/Rh_l3_m1_r00400.txt\n",
+      "rh_32\n",
+      "rh_32/Rh_l3_m2_r00400.txt\n",
+      "rh_33\n",
+      "rh_33/Rh_l3_m3_r00400.txt\n",
+      "rh_40\n",
+      "rh_40/Rh_l4_m0_r00400.txt\n",
+      "rh_41\n",
+      "rh_41/Rh_l4_m1_r00400.txt\n",
+      "rh_42\n",
+      "rh_42/Rh_l4_m2_r00400.txt\n",
+      "rh_43\n",
+      "rh_43/Rh_l4_m3_r00400.txt\n",
+      "rh_44\n",
+      "rh_44/Rh_l4_m4_r00400.txt\n",
+      "rpsi4_00\n",
+      "rpsi4_00/Rpsi4_l0_m0_r00400.txt\n",
+      "rpsi4_10\n",
+      "rpsi4_10/Rpsi4_l1_m0_r00400.txt\n",
+      "rpsi4_11\n",
+      "rpsi4_11/Rpsi4_l1_m1_r00400.txt\n",
+      "rpsi4_20\n",
+      "rpsi4_20/Rpsi4_l2_m0_r00400.txt\n",
+      "rpsi4_21\n",
+      "rpsi4_21/Rpsi4_l2_m1_r00400.txt\n",
       "rpsi4_22\n",
-      "rpsi4_22/Rpsi4_l0_m0_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l1_m0_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l1_m1_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l2_m0_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l2_m1_r00400.txt\n",
       "rpsi4_22/Rpsi4_l2_m2_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l3_m0_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l3_m1_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l3_m2_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l3_m3_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l4_m0_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l4_m1_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l4_m2_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l4_m3_r00400.txt\n",
-      "rpsi4_22/Rpsi4_l4_m4_r00400.txt\n",
+      "rpsi4_30\n",
+      "rpsi4_30/Rpsi4_l3_m0_r00400.txt\n",
+      "rpsi4_31\n",
+      "rpsi4_31/Rpsi4_l3_m1_r00400.txt\n",
+      "rpsi4_32\n",
+      "rpsi4_32/Rpsi4_l3_m2_r00400.txt\n",
+      "rpsi4_33\n",
+      "rpsi4_33/Rpsi4_l3_m3_r00400.txt\n",
+      "rpsi4_40\n",
+      "rpsi4_40/Rpsi4_l4_m0_r00400.txt\n",
+      "rpsi4_41\n",
+      "rpsi4_41/Rpsi4_l4_m1_r00400.txt\n",
+      "rpsi4_42\n",
+      "rpsi4_42/Rpsi4_l4_m2_r00400.txt\n",
+      "rpsi4_43\n",
+      "rpsi4_43/Rpsi4_l4_m3_r00400.txt\n",
+      "rpsi4_44\n",
+      "rpsi4_44/Rpsi4_l4_m4_r00400.txt\n",
       "[[-1.57746444e+02  0.00000000e+00  0.00000000e+00 ...  0.00000000e+00\n",
       "  -0.00000000e+00  0.00000000e+00]\n",
       " [-1.56561259e+02  9.61352712e-17 -2.63305000e-16 ...  2.80306107e-16\n",
@@ -1179,7 +1315,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f273c321198>]"
+       "[<matplotlib.lines.Line2D at 0x7fa50a532670>]"
       ]
      },
      "execution_count": 19,
@@ -1188,7 +1324,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1250,9 +1386,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Codes ['BAM', 'THC']\n",
-      "BAM : 128 simulations\n",
-      "THC : 36 simulations\n"
+      "Codes ['THC', 'BAM']\n",
+      "THC : 36 simulations\n",
+      "BAM : 128 simulations\n"
      ]
     }
    ],
@@ -1301,10 +1437,11 @@
       "\n",
       "database_key : A string like BAM:0001:R01 or THC:0013:R02 that identifies the simulation by the code employed for the evolution and a unique progressive number in the CoRe DB. The first part of the string corresponds to the repository name, like `BAM:0001` or `THC:0013`, and appears in the summary `metadata_main.txt`. The full string includes the different runs (different resolutions, grid setups, hydro scheme, etc.) and appears in the `metadata.txt` inside each run folder.\n",
       "\n",
+      "available_runs : This is the list of runs (different resolutions, grid setups, hydro scheme, etc.) available for a given simulation, e.g. R01, R02, R03, etc. Note that with \"simulation\" here we indicate the  set of runs of a given physical setup, i.e. of the same initial data and with the same physical assumptions (e.g. description of matter fields).\n",
+      "\n",
       "simulation_name : A string that identifies the simulated binary. The convention used so far is `<EOS>_<mass1>_<mass2>_<spin1z>_<spin2z>_<initial_frequency>_<setup_details>` formatted as e.g. `2B_1.350_1.350_0.00_0.00_0.038_0.186`. Similarly to the database_key, the first part of this string common to all runs of a simulation appears in the summary `metadata_main.txt`, While the full string appears in the `metadata.txt` inside each run folder.\n",
       "\n",
-      "available_resolutions : This is the list of runs (different resolutions, grid setups, hydro scheme, etc.) available for a given simulation, e.g. R01, R02, R03, etc. Note that with \"simulation\" here we indicate the  set of runs of a given physical setup, i.e. of the same initial data and with the same physical assumptions (e.g. description of matter fields).\n",
-      "[This field should really be called `available_runs`, to be fixed in the future]..\n",
+      "binary_type : Type of binary: BBH, BNS, or BHNS.\n",
       "\n",
       "reference_bibkeys : BibTeX code(s) from HEP-SPIRES referrring to the publication of the simulation..\n",
       "\n",
@@ -1332,6 +1469,8 @@
       "\n",
       "id_Lambda : Initial data: reduced tidal parameters (this is really $\tilde{\\Lambda}$).\n",
       "\n",
+      "id_eccentricity : Initial data: measured eccentricity..\n",
+      "\n",
       "id_mass_starA : Initial data: Gravitational (TOV) mass of star A (solar masses).\n",
       "\n",
       "id_rest_mass_starA : Initial data: Rest-mass of star A (solar masses).\n",
@@ -1352,8 +1491,6 @@
       "\n",
       "id_Lambdaell_starB : Initial data: tidal polarizability parameters for star B and for ell=2,3,4.\n",
       "\n",
-      "id_eccentricity : Initial data: measured eccentricity..\n",
-      "\n",
       "evolution_code : Code employed for the evolution of initial data, e.g. BAM, THC, etc.\n",
       "\n",
       "grid_refinement_levels : Number of AMR refinement levels.\n",
@@ -1376,12 +1513,12 @@
       "\n",
       "grid_conservative_amr : Tells if a refluxing scheme was employed in the simulations.\n",
       "\n",
+      "subgrid_model : Subgrid model: None, visL5, visL10, or visK.\n",
+      "\n",
       "metric_scheme : Formulation employed for the metric field, e.g. Z4c, BSSN, etc.\n",
       "\n",
       "metric_boundary_conditions : Boundary conditions for the metric fields.\n",
       "\n",
-      "eos_evolution_Gamma_thermal : EOS employed in the evolution or value of the adiabatic exponent for the thermal pressure component.\n",
-      "\n",
       "hydro_flux : Numerical flux employed in the hydrodynamics scheme.\n",
       "\n",
       "hydro_reconstruction : Reconstruction method employed in the hydrodynamics.\n",
@@ -1390,9 +1527,25 @@
       "\n",
       "hydro_atmosphere_factor : Atmosphere is set when rest-mass density drops below the atmosphere level times this factor.\n",
       "\n",
+      "number_of_orbits : Number of orbits.\n",
+      "\n",
       "evolution_mol_scheme : Time integrator used in the method of line scheme.\n",
       "\n",
-      "number_of_orbits : Number of orbits.\n",
+      "eos_evolution_Gamma_thermal : EOS employed in the evolution or value of the adiabatic exponent for the thermal pressure component.\n",
+      "\n",
+      "neutrino_scheme : Neutrino scheme: None, Leakage, or M0.\n",
+      "\n",
+      "id_gw_NR_frequency_Hz : Initial frequency of the waveform in Herz.\n",
+      "\n",
+      "Hybrid_window_freq_Hz : Frequency window for the hrybrid part of the waveform in Herz.\n",
+      "\n",
+      "TEOB_Lambda_starA : Tidal deformability of star A for TEOB waveform.\n",
+      "\n",
+      "TEOB_Lambda_starB : Tidal deformability of star B for TEOB waveform.\n",
+      "\n",
+      "TEOB_version : version of TEOBResumS used.\n",
+      "\n",
+      "NR_simulation_key : database_key of the simulation used, identifying it by the code employed for the evolution, e.g. BAM:0013:R02.\n",
       "\n"
      ]
     }
@@ -1476,7 +1629,7 @@
     "thcsim['database_key'] = 'will_be_assigned_by_watpy_CoRe_db'\n",
     "thcsim['simulation_name'] =  simname_short # use first the short name !\n",
     "thcsim['reference_bibkeys'] = 'bibitem:2021avg'\n",
-    "thcsim['available_resolutions'] = '' # empty, this will be added on the way ...\n",
+    "thcsim['available_runs'] = '' # empty, this will be added on the way ...\n",
     "\n",
     "thcsim['id_code']                  = 'LORENE'\n",
     "thcsim['id_type']                  = 'Irrotational'\n",
@@ -1555,15 +1708,7 @@
    "cell_type": "code",
    "execution_count": 26,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "No .h5 file found!\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from watpy.utils.coreh5 import CoRe_h5\n",
     "\n",
@@ -1595,26 +1740,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "energy\n",
-      "energy/EJ_r00400.txt\n",
-      "rh_22\n",
-      "rh_22/Rh_l2_m2_r00400.txt\n",
-      "rh_30\n",
-      "rh_30/Rh_l3_m0_r00400.txt\n",
-      "rpsi4_20\n",
-      "rpsi4_20/Rpsi4_l2_m0_r00400.txt\n",
-      "rpsi4_22\n",
-      "rpsi4_22/Rpsi4_l2_m2_r00400.txt\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "ch5.dump()"
    ]
@@ -1635,19 +1763,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Wrote ./CoRe_DB_clone//THC_0037/metadata_main.txt\n",
-      " Found no runs R?? folders in ./CoRe_DB_clone/THC_0037\n",
-      "Added THC:0037. Now you can add runs!\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "newdbkey = cdb.add_simulation('THC', thcsim['simulation_name'], metadata = thcsim)"
    ]
@@ -1661,18 +1779,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Wrote ./CoRe_DB_clone/THC_0037/R01/metadata.txt\n",
-      "Wrote ./CoRe_DB_clone/THC_0037/metadata_main.txt\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "thcsim['simulation_name'] = simname_long # switch to long name for the run !\n",
     "cdb.sim[newdbkey].add_run(path = thcsim['pre-release-folder'], metadata = thcsim)"
@@ -1687,7 +1796,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1718,7 +1827,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1732,9 +1841,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/tutorials/watpy_wave.ipynb b/tutorials/watpy_wave.ipynb
index 7efa1cfa8c2177e223607b7e34950772d51b030e..358e12e8d1f67f6beebcaa15e8b75a52d19740b4 100644
--- a/tutorials/watpy_wave.ipynb
+++ b/tutorials/watpy_wave.ipynb
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -131,7 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -148,12 +148,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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sWc4DmwYMGMDDDz/M5z73OaZOncrcuXMT1kXa9HKVu6Ghhsp0516UXfRnbWwkj0fmo/iIuiWW+iMssQD8S2YDUP7Sf1P/7j0syTyz8abK1vyq/DT6axn6yd+O+JymbaId6EkhIutVte2vu73c7NmzteW9GGvXrmXSpEkeRdR5V199dYca473Q26+tOUybXoM/X8zbJz3Mla/H2zQUpw/QASKd6dilvBr6Afm+XRRqP86qv40yMtvd/pXQDxg3NBffV952Th6uhkAy+PzNN923BoIpNuhlK0RkuarObrm8o20s74nIZFW1Gx2MMYdn10eAUJI+AYjfyHhwe1/negsLV4V/yMLUD/hH7bGHSCrO9g9Fz+G2vQ9Q/OIvKd67g/E7nqI+bQi7j7mOsWd9AwqWsu6JG5lY5zyhdfvQ8xj1pYetwb8DOppYTgBWiMhWoJ6jrbtxL/Twww97HYIxjoKlMGACdf6ufU79bvpzf+wCKrVj3ZafiZ7Ceb7FzFt6O9kqPBM9hTGVe5i99BaiH/wMv0bI1Sz+O/IFsqWS63c/R8UfzyZ06QMkDxxz+AHWV8Gm19ixdT2Dx04jNP408AcP/zi9wCETizhdib4CtP3g8z5KVQ+rJ5U5tI5UvZq+Q6MR6rctITzuHCKdaEPpqPrD6AAQIcAXG37AjMgmdmsuuxgAKKf5PmS2bwN7NIenop+iDqfX5frYCG4rvJ+k/53JzswZ5GaksK3SR/4plxE8dgEkZwEQra9BN77Cng9fJLVyC7HqMpICEKzYQQr1jARYBmXBgSSd+h1Sj/8iBNtu/+yNOtrGskpVp3RDPJ5orY1l69atZGRkkJuba8klQVSVkpISKisrGT3a6quPBntW/4shz1zIz1O+y9CTr+Cnz/fu2vShFHNZ4C3O8C2njhCDpIzhUsx+XzaBeTcQ3r+XpFWPkRarpEJT2aDDKdN0YvjYrbm8GJ3DBh3ObN8GvhJ4nuN8G6gI5JL26e/in/mFxuTUW7TVxtLRxPII8AdV/aArgvNaa4mloaGBgoKCDt3DYTouOTmZ4cOHEwz2zSoA09y2J77LsHX/x9zoH/nKmbP4+Qt9bbh7ZaZs5ObgY8zybSSqwkux43g8ehqLY5OJ4m9337m+NdwQ+Bsn+NZSRwj/9M9Rd/z1ZAwZ3/ZusSiIz+lsUFtKZWkhoWgNDb4Qaf1HIBlDwNc9o3V1tvH+eOByEdkOVHMUtLEEg0H7Vm1MZzTUMXjrX3kjNoMaX0azu+X7DuFDHc/F4VsZRjEVpFFJaof3fT92DO+Hj2GqbObz/te56KPHSfroz5RNuAgdNpv6UDa5yT42r1/J8PLlRPato1+sDOHAtcxwf8Zvm64niWhuPjvTjmXc3AuJDTyGYHouhNKd3m/doKOJ5awujcIY0/d8cD/J4TIejp6FPyTd0sbiHXHbaI7MSh3LyshY7ohcyn8G/sq5618ke8OBG5MnAZ/ERrEmdiy7yQWEWg1RSgb7NZ0qUkiigWFSTJ7sZWLhDmb6nsW/48nGMlODL4ny4EBCadkUhYPkZGWwv6KSfv566mI+JJBEMBCgNDCQnOH5bIsOYOqU6YQzR5KWPeSwklKHEouqbheRacA8d9G/VfXjDp/FGHN02bcG3vwlGzLn8n7hMQQbojT0yRJLYhWRzU2Ra/mvyJcYwH6ypYoIPvZpzmGUhBxJhJkiWxjr20MWVQyQcgY3lJJVU02qVFJTUUIdIbZpCgGihKSSIBGGyjpydz9HLsByCAJhfxoVSYOpTh5EWs4wisgif1Db7UEdHd34BuDLQPw21T+LyH2q+vvDeqfGmL5vz8fw2GWQlMGj/b8DhQ00RJXq+o6PXny0i+FjHzns05xDb9yGekIs04ksi0487H2TCDNcihghhYySQvIiexkWLmZw1R6SStaSTzm+1gdLBzpeFXYNcLyqVgOIyO3A+4AlFmMMAFpTxtpnb2Pi5ofwpQ+Ey59m83MVQAkAVa08b8X0TPWE2KzD2KzD2thCuXDqYOC4Vtd2NLEIEG0yH6W1W2eNMUeXhlrY+jasfZ7YymeYHK3ldf88TrvuIUgfSEn1vxo3rbISSx8iqLTd462jieX/gCUi8qw7/x/Ag50LrOeoLt1NVUUZ6ZnZh97YmKNRLAoVu6BsO5GiTWxY8TYj69aTvn8DxBoglM7KrPnctGcea3UUS2OZDARKq8OkhvzUhKNU1DV4/S5MArVXsmg3sYjIaFXdqqp3ishbwMnuqi+q6keJCtBraXX7+PjJWznput95HYox3UMVInXUVJaQ0lCO1JRCbSnUlEBNKVpdwobtO0iu3ctIKUIqdkHMKXEEgGGaygodw6y5XyNl3Kkweh4/ufcDNvsqIRrj44JyTp+UxP6aBvL6p7GpsMpKLH2Mr53McqgSyzPALBF5XVVPAz5MYFyIyNnA7wA/8ICq3tZifRLwKDALp6L2s6q6zV33I5y2nyjwLVV9uSPHbEugpvjQGxnTGaoQixKNhJFYBJ9GnJJALOJ8649FIOpM19bWUlJRxeB0PwGNQLQBomFnO3d6R2EpZeWV5OcGSfVFIFIHkfrGn/srKthdWEJWIMzQlCjSUO3cVBeuhnAVaKzNfkZRfyppkVQKtR81Aycw6cSLIXsU9BvF9S+V8c+dQRQfP806hqvy86hriLJmdwWfmzOSPy3eztbiKirrc4jElCFZyU5isTaWo8ahEotPRG4CxovId1quVNU7j/TEIuIH7gbOAAqAD0RkUYsRlK8BylR1nIgsBG4HPisik4GFwDHAUOA1EYnfqnqoY7Yqv/xd2PKW88fv84P4nbtb4zciqQKKqlJWHaaspp5ITMlI8tM/PUSoMX1rk2Fa1d1dicaUfRW1VNU1EI0p2akBctOTCPqanCOuyWgI5bUNFFbWUheOkRzyMSA9RFZK0CmGujG1/FlVF2F3WTU1DVFCfmFQRhI5ae3vUx+JsaushvKaMClBH0P7JZOZ5G/+fuL7AOFIlILSasqqw/h9kJsWZGhWMv7GbzHNzxGJxSgoraakqh7VGDmpQUb0Sybod8dK15i7bQxUqY9E2F5cTXlNmJAfBqSHGJwZch4g1GJbVaWoopY95bVEolGykv0M65dEil/cbaLuzxiqMcqr69lbXkMkEiE95GdIZhDnrbrHjDnbxzTG/uo6yqvr8KFkJvvJSvbjQxu3QaNoLEp1fQP19Q1AjCS/khoQfBpPGu5Lnfs42rsXOy4FONQT2Ue6r0aBZAgkQSCZsIQorYgSI5mdmkR5tB+TR42FpHQIpbOn1s8jy4vI7pfLqrIA0yeO5dozZkFqLrHkbM75wxIAxg1M551NxSw95XRSQn5276/lHzvf4LtnjOeZDwv498Yirjoxj3V7K4nElJPG9eefq/awraSGsmrnIVrD+qUAUGmJpU+pbYi2ue5QiWUhTntKgAM3eCbKHGCTqm4BEJEngQVA0ySwALjVnX4G+IM7KOYC4ElVrQe2isgm93h04JgHqSWJHC2DRxccMmgBctzX4fDjZMDDleW+Dkc60M6AEK1KAg5nvNbQYW4fAPLcV0uKODdfiQ9ViCJoDEYgDENQhBhCtQgBv59gwI/f5yeqEI4qtRFFY8ogfCBCRIWiXT6SgwHSU0KkhILExEdlfYyymgZqGhQVP36/n7IqpbRU6JeewpB+qaSEgkR8PvZWNlBQFqY24ic51A8VH+v2x0gKBsgfnMnQfmmIz09hVQMfFVRQURelX3oyoWCQXfvr8UUCzBozgHGD+iE+P7sqGnhlbTGldTEmDs0mQoAVuyrJyUjlsuNHMygrnaj4WbSykJfXlzF2cDbHjR3I3z4upKhG+eYZkzhx/BDUF+RPS3dz33sFzD92JJ85bgz/+df1lNXDE1+ay+ShmZTXNHDh3e9QE4ry/PUn8/KS7fz+jU384cwZnD91KPWRKFfe9Q7VaRFe+eap/PqldfxyyQ4+dVYe4zLTeWHlbjYWVnHX52YwKCOJF1fv5fmVu7ls9gie/3g3ABdOH8q+yjqe/XAXDdEYa3ZXAHDM0ExG5qSyvaSashqnTWVIlpNYrCqsb6ltaPuG13YTi6quB24XkZWq+mKC4xoG7GwyX4AzdEyr26hqRETKgVx3+eIW+8b7xR3qmACIyHXAdQDDR4xkUf/LKA4NZU8kk+KKGkqraonGYjjfuYWs5CBDs1MYnp3KsH4p5KYn4/MLlbUR9pTXUVBeR0FZHXvKa2mIuh+WQGZKkOE5qYzun8Ho/mlkp4bw+XyUVNdTsL+O7SU17CipYU9F8zHJhmSlMG5QBuMHpjMyN5XUpADVdREKyurYVlLDttJqthXXUBfRxhgzU0JMHprJpCFZjB+USWZqkLqGKJuKqvl4ZwUrCsoprWlo3B6E1KQAk4dkMXloFpOHZjIsO5Xy2gif7K5g+fb9LN9ZTnV9tHEfBcYNzOCksf2ZPTqHsQMzaIgqGwqreGdTCW9vKGFvZT1A4z45qSHmTxzEaZMHM21ENn6/j9W7q3htbSGvrNnH7vKW7z2Zc6cM4bypQ5g+vB+V9RHe21TMoo938/q6QsLVzX+hjx+dw2WzR3DOlMGkhgJsKqzi6WU7eWrZTsqKGgj5fTTEYqjChEEZXHniKP5j+jDSkgLsLK3hwXe28uQHO6grjTEkK5mSqjDhaIzjR+fw1VPHcsIE547qtzcWc/uL61izpYIROSmkBP1s2FfFqNxUfnLJZOZPGIiIsGFfJT94ZiU3rtnPlPIsstNCvL2hiBE5Kdxx+XTmjHa+luRuLObbf/mIu9+I8Lk5I1mxcz8f7cjiqrmj+Pb5kwn6fUz9VJhrH/mAy1/azzfrkymuDvP4kno+M3M6t14yDb9P+NNXBnLZH9/nigeX8McrZnHnqxvYvb+WJ687gcFZyXzrtHze3ljMTX9bxcyR2Ty+ZAcbC6t46OrZpCcF+NZp+fz1w13c/tI67v3CLO56fSNjB6Rx3pQh+MQptTy+ZAeXzR7Bcyt2M31EP0blpnHyuAH8efEOPt65nzV7yslIDjA8O4W83FQ+2FZGWY1TYhnSzxm51xJL31Ibbvv/s6ODUA4CfgEMVdVz3Kqouap6xD3DROQS4GxVvdadvwLnXpnrm2yz2t2mwJ3fjJMobgUWq+qf3eUPAvHE1+4xW9PaIJRO1VUd0ZiSmRIkK6VjgyZGojF2ltWiqmSnhshO69hDgarrI2wrqSYp4GdgZhKZyYc+Xyym7CitobQmzJCsZAZnJrc7ErOqUlhZz+bCKgBG5KQyPDul3X0i0Rhr9lRQWFFPctDP+EHpDMxse4hvVWXd3kq2FVejwMicVCYNycTfRkufqrJqVzmrd1Xg98GkIZkcOzQLXxvbl9c28Prafewpr2NARhInjevfWNXSUl1DlFfW7OOTXeUkB/2cMr4/M0dmt/p+S6rqeWpZARv3VTIgI4nzpw5lyvCDy4qxmPL8yt08//EeGqIx5k8YwMI5I0kONq/gisaUJz/YwVPLCqipj3DWMYP52qfGkpbU/LtcYUUdN/99NW+sK2RQRhLfO2sCn5nZvBKsriHKd55awQur9iICXzppNDefO6nZNdpSVMVn71tMUWU9IvD/LpnGxbMOHGdbcTXn3fVvkoJ+SqvDXDprOL++dFrj+rvf3MSvX17PWccM4uVP9vGHzzulG4CH3tnKz/6xhl9fMpXvP7OSWy+YzNUnjaa8poEZ//0K3zotn39tKCLk9/GXr8zlt69t4Hevb+SXF03hxr+t4rFrj+fyB5a0+n9keq/JQzJ58dundGp04xdxuhzfrKrTRCQAfNSZofRFZC5wq6qe5c7/CEBVf9lkm5fdbd53z7kXGADc2HTb+Hbubu0eszWtJRZjulMspm0mU3AS8OaiatKS/I1VSy3tLK3h5U/2Mjsvh+kj+h20ftm2Un772kbGDUznxnMmNkuGteEol/3xfVbtKuf0SQO5/8rZjQm4vKaBOb94jfpIjOSgjyU/Op2sVOeLz4I/vENUlQ17q7j6pDxuOncSf/9oF9/+ywo+N2ckTyzdwRvfPZVP3/Gvg+Ixvd/228/v1OjG/VX1qSYf1BERabvlpmM+APJFZDSwC6c95/MttlkEXIVzl/8lwBuqqiKyCHhcRO7EabrIB5biNIEc6pjG9DjtJRUAEWHcwPafwDgiJ5Vr57Xd8jU7L4c/X9tqzTApIT9Pf3UumwqrmDQks1mpLis1yE8vPIY7Xt3Af54+vjGpAJw0rj//+9ZmAE4cmwvAqFynr9kH20oJ+X3tlnBN39TRxFItIrm4XYJE5ASgvDMndpPT9cDLOG3bD6nqJyLyM2CZqi7CuQnzT27jfClOosDd7imcRvkI8A1VjbqxHXTMzsRpzNEiOejn2GGtdxVZOGckC+eMPGj5JbOG8+A7WxmclcxJ4/oDMLp/GgCbCqsYmZNKSrAj/eBMX9LRxPJdnNLDWBF5F6c66pLOnlxVXwBeaLHslibTdcClbez7c+DnHTmmMaZrjBmQzr++P5+0JD9Bv/NwqX6pTpf48toGhmQl4/cJIb+PcJ8eNt801dFh85eLyKnABJzqpvWqauMzGGMYnHVwVVde/zQ+3rmfkTlOtVhS0BLL0aRDz68UkZXAD4A6VV1tScUY055pbo+66SP7ARzUa870bR2tCrsA+CzwlIjEgL8AT6nqji6LzBjTa33vrAmMzEnlYrfrdHKwe57BbhInXp359U+NpbCynklDMhmSlUy/lCDjB2fw8c79nH576/t2+AmSwK+AX4lIPvBjnOFV7GuIMeYgmcnBZj3UDtWAHwr4CEesqqyliYMzWLe3kty0ECXuEDkd5fcJ0Zhy1dxRVNZFyE0PceywLNbuqeSCaUN4a30Rc0bnsHx7GfkD04nElPLaBo4dmsX2kmrmTxzInvK6xs4YLZ02aVCb5+5oiQURGYVTavkszsCPPzisd2mMOWrFq8ICPiHSyiOKU4J+Syyu3y2cTmoowMTBGeSkhagOR0jy+3ngnS3MHJXNA//ewhmTBvHhjv3sLa8jOeTn7Q1FzMvvz97yOn5w9kQWbynhP88YT0195KDu3gumOz+PGepUVx6Xd/AAVZOHZgK0mVQOpaOPJl6C8+jjp4FL42NxGWNMRyQHnMSSFPARCR98C1xqyE95be9tuh0zII0tRdWINBtD9rD89WsnUlod5ozJzUsC8dEavnvmBADmTxgIwNUnHdimJhwhOeBvvB8qfoz0pA6XHRKqo2e90h03zBhjDluS28YSCviobiWxJOJel7ZKQ10pIzlAZV2EuxbOID0pQFlNmA937Oe3r26gsoNjoz33jZNICvqYODjziONIDXmTQNrS0TaW9SJyHs4w9clNlv+sqwIzxvQd8aqwpIAfOLhkkoheY22VhhIpJy3ECWNy+Oan83l1zT6uOXk020qqG6uV8khjxshsPjNjGFX1EVa749St2VPB2AHpfPXPy5mX359/byzm/itnM2tUNjkdHE+wN+loVdi9QCowH3gA5+bIpV0YlzGmD4mXSJLa6B2WGkpAYgn6Wy0NHcrpkwby2trCxvmrT8wjMznAXW9sYli/FHbtr21c99VTx3DdKWMBZ8BUONBW0VR2mjMA7Qj3Pp75E53qq/d/9GkGZSQTiSmhQN/tKdfR8tOJqjrVHT7/pyJyBwdGEzbGmHbFuxuH/K1/mCaixNLWCNqH8scrZqOq3P3mZqrDEW46dxIA18wbQ8jvY9ItL3HBtKH85rJpR3yOuPgAoqFOHqen62hiiT8wo0ZEhuI8JnhI14RkjOlrkg9RYklKwLf3CYMymDwkkzOPGcTNz64+5Pa/uGgKPoknJOGG0/ObrY8/KmP9/5xNwOfrdFI5mrSbWETk28B7wCIR6YdzL8uHOINRPtDVwRlj+oZ4YmmrkTkR1ULJQT8PXDWbDfsqO7T9vPz+jVVV7UkK2O16h+tQJZbhwG+BSTjPkX8X+DLwnqqWdG1oxpi+Il4iaastJRGJJT7Sf6yD/X1TEtCuY1rX7v+mqn5PVU8EBgE/whm6/mpglYi0+xx5Y4yJ87mf+oE2qpMSURUWF39q6ZmT274zHOjQU1rNkeloG0sKkAlkua/dwKquCsoY07cceG7YgcRy87mT+PkLa4HEVDed4Q4xkhoK8OIN89hSVMUra/bxt6+fSE19lDfWFfLQu1v57Wens35fZZ/uleW1Q7Wx3Idz70olsASnveVOVS3rhtiMMX2EuAmlaYHly6eMaUwsnWkYz0wO8O8ffJrMlOYfZ2MGpLPttvMa508Yk8P504Ywc2T2EZ/LdMyhUvZIIAnnWfO7gAJgfxfHZIzpYyIxZxywttpYpBMdroJ+H1mpwWaPU25NwO+zpNJNDtXGcjZwHPD/3EXfBT4QkVdE5KddHZwxpm+4cNpQhmensGD6sFbXC0eeWawbcM9zyEpGdazGedzvizg9w8YCN3RxbMaYPiJ/UAbv/PDTjBuY3ur6tnLDTy88hi/PG93qupvOnQi0Pjqv8dah2li+BZzovhpw2ljeAx7CGu+NMYfJ1yKDfOeM8eworWmzKuyqE/MAuP/fW5stj7ednDp+ICNyUhIep+mcQ/UKy8MZKv8/VXVP14djjOnLWnY3/tZpzt3uv3Ab8TuiaRKaMDgjIXGZxGo3sajqd7orEGNM3+dro2hyOI33R/q8E9N9rCO3MabbxBvaW5ZcDqfx3hrrez5LLMaYbhNPCp15sFdbd++bnqNnPXbMGNOnZSYHuHjmcC6dPbzZ8ki048+7t8TS81liMcZ0GxHhjsumHbT8cB4pfKgbIY33LLEYYzw3ZVjzpzD+4fMzmD6iX+P81OFZFFfWs7u8jhPH5nZzdOZwWWIxxnjuMzOHMTsvm8/873uUVIcZ1i+F4dkHnpXy52uPRxV2769lzIA0DyM1HWGJxRjjORFhVO6BhNGyW3J8iPv4Ux1Nz+ZJrzARyRGRV0Vko/uz1ZHhROQqd5uNInJVk+WzRGSViGwSkbvErXQVkVtFZJeIrHBf53bXezLGJE5b97uY3sGr7sY3Aq+raj7wujvfjIjkAD8BjgfmAD9pkoDuwXmSZb77OrvJrr9R1enu64UufA/GmASL5xPLK72bV4llAfCIO/0I8B+tbHMW8KqqlrrPf3kVOFtEhgCZqrpYVRV4tI39jTG9lCWW3s2rxDKoydhje3EefdzSMGBnk/kCd9kwd7rl8rjrRWSliDzUVhUbgIhcJyLLRGRZUVHREb0JY0xixXsdB/1273Zv1mX/eyLymoisbuW1oOl2bqkjUaP/3IMzpP90YA9wR1sbqup9qjpbVWcPGDAgQac3xnRG1M0sNmxL79ZlvcJU9fS21onIPhEZoqp73KqtwlY22wV8qsn8cOAtd/nwFst3uefc1+Qc9wP/ONL4jTHdL+aOMBn0WYmlN/Pqf28REO/ldRXwXCvbvAycKSLZbpXWmcDLbhVahYic4PYGuzK+v5uk4i4CVnfVGzDGJF585GK/30osvZlX97HcBjwlItcA24HLAERkNvBVVb1WVUtF5L+BD9x9fqaqpe7014GHgRScp1q+6C7/lYhMx6la2wZ8pevfijEmUeJVYUGrCuvVPEksqloCnNbK8mXAtU3mH8J5WmVr2x3byvIrEhupMaY7xfOJtbH0blaRaYzpMaa544Mld2JYfeM9G9LFGNNj/P5zM1i7p5K0JPto6s3sf88Y02Pkpidxcn6S12GYTrKqMGOMMQllicUYY0xCiWqibnrvvUSkEljvdRwd1B8o9jqIDrJYu0ZvihV6V7wW6+EZpaoHDV1ibSyO9ao62+sgOkJEllmsiWexdp3eFK/FmhhWFWaMMSahLLEYY4xJKEssjvu8DuAwWKxdw2LtOr0pXos1Aazx3hhjTEJZicUYY0xCWWIxxhiTUJZYjDHGJJQlFmOMMQllicUYY0xCWWIxxhiTUJZYjDHGJJQlFmOMMQllicUYY0xCWWIxxhiTUJZYjDHGJJQlFmOMMQllicUYY0xCWWIxxhiTUPZoYqB///6al5fndRjGGNOrLF++vNieed+GvLw8li1b5nUYxhjTq4jI9taWW1WYMcaYhLLEYowxJqEssRhjjEkoSyzGGGMSqs8lFhEZISJvisgaEflERG7wOiZjjDma9MVeYRHgu6r6oYhkAMtF5FVVXeN1YMYYczTocyUWVd2jqh+605XAWmCYt1EZY8zRo88llqZEJA+YASxpZd11IrJMRJYVFRV1e2zGGNNX9dnEIiLpwF+Bb6tqRcv1qnqfqs5W1dkDBhx046gxxpgj1CcTi4gEcZLKY6r6N6/jMcaYo0mfSywiIsCDwFpVvdPreIwx5mjT5xILcBJwBfBpEVnhvs71OihjjDla9Lnuxqr6DiBex2GMMUervlhiMcYY4yFLLMYYYxLKEosxxpiEssRijDEmoSyxGGOMSShLLMYYYxLKEosxxpiEssRijDEmoSyxGGOMSShLLMYYYxLKEosxxpiE8jSxiMgUL89vjDEm8bwusfyviCwVka+LSJbHsRhjjEkATxOLqs4DLgdGAMtF5HEROcPLmIwxxnSO1yUWVHUj8F/AD4FTgbtEZJ2IfMbbyIwxxhwJr9tYporIb4C1wKeBC1R1kjv9Gy9jM8YYc2S8ftDX74EHgJtUtTa+UFV3i8h/eReWMcaYI+V1YjkPqFXVKICI+IBkVa1R1T95G5oxxpgj4XUby2tASpP5VHdZt3v+492UVNV7cWpjjOlTvE4syapaFZ9xp1O7O4hITPnmEx9xzSPLuvvUxhjT53idWKpFZGZ8RkRmAbXtbN8lVJ2fu/d3+6mNMabP8bqN5dvA0yKyGxBgMPBZr4JRr05sjDF9iKeJRVU/EJGJwAR30XpVbejuOKQxnu4+szHG9D1el1gAjgPycGKZKSKo6qPehmSMMeZIeZpYRORPwFhgBRB1FyvQrYlFW5kyxhhzZLwuscwGJqt6XQnlnN7rKIwxpi/wulfYapwGe0/FE4pI+9sZYxJjb3kdf1q8nUg05nUopgt4XWLpD6wRkaVA492JqnphdwbRYL/cxnSrm55dxRvrCqmuj/DVU8d6HY5JMK8Ty60enx+ALcXVDPE6CGOOEq98spc31hUCcOerG5g/YSATBmewvybM//xzLS+t3suEwRncdO4kZo3KZm95Hb95dQPvbSmmf3oSC48bwYLpwwj4hG0l1WzYV0W/1CBz8nII+H0UV9Wzdk8FW4qqUVUGZyWTFPBTE45SXR+hqj5Cv9QggzOTGZ6dSjgaY19FHdX1EZKCflKCfjKSA0SiSkl1PWU1YSrrIgAkB/z4fILfB36fD7840z4RojGlIaZEYzEaoko0pkRiSiQac9ZFD6yLqRLy+wj4nUqjcCRGTTgCAiG/D1WnBiWmSiTqHEdwKu0F8PnEWe+eoyEaIxJV/D6hIRojHIkRjsYIR5x1PnHj9dF4bICGqOITIeATJ9ZYDJ9IY0/Z2gan6VvV+QLeEFMaIs77aa+Gx+vuxv8SkVFAvqq+JiKpgN/LmIwxXeepZTv5wTMrGZSZxH1XzOZLD3/At/+ygm9+ehw/WfQJZdVhLpg2lMVbSrj4nvdIC/lpiDp11adNGsi2khp++NdV/Pi5Txo/VOPSkwIkB/0U99KhmUIBHyg0xA7UoPhE8PucD36gMbnEVIkpBHyCX4SAXwj4fcRiSijgIxTwEfT7CPl9BP1C1E1Q8YQQTy5+nw9VJ9H5fe62MUUVfD4nkcbjCAV8pPp9hPxOTNFY243SXvcK+zJwHZCD0ztsGHAvcJqXcRljEktVeeS9bfz0H2uYl9+f+6+cTXLQz20XT+XLjy7j6499yMTBGfzf1cdx7LAsquoj/HV5AdtKqvGLcOXcPEbmpqKqvLe5hDfXFRIK+Bg7IJ3xgzIoKKth8ZYSasJRJgzOYPKQTMYNTMfnE/aW1xGOxkgLBUhL8pMWClBWE2ZveR3bS2tICfoZlJlMRnKA+kiM2nCUqvoG/D4fOWlBslNDZCQHUZT6BudDPxJzPqTjL+eDWQj6hYDP5yQDdzrQZDqeJERoLNUAzn5u6UVVkV7S4Pvg1a0vFy87ZInICmAOsERVZ7jLVqnqlO6MI2lIvg656rf0T09i2X+d3p2nNqZPi8WUFQX7ueetzby6Zh+nTRzI3ZfPJDl4oGLilU/2sr+mgQUzhpIUsAqL3kRElqvq7JbLvW5jqVfVcDw7i0iABNxMIiJnA7/DqVZ7QFVv68h+nvd6NqabqR5oC4ip8zMaVaLa/Bt5fJtoTKltiFITjlBTH6WmIUptOEJNOEpNOOp+24+wr6KOvRV1bNpXRWV9hLSQnxvPmch188bg8zX/Nn7mMZ53DDUJ5nVi+ZeI3ASkuM+6/zrwfGcOKCJ+4G7gDKAA+EBEFqnqmkPtW1Id5uZnV3HxrOFU10eorIuQHPSRHPATc+s+VZ36x9RQgPpIlIq6CMkBHxnJQfw+cesrQVFisQP7AATdRrm6hijRmDoNcC1iSA76CQV8boNd7KB6zNZyX2vpMP6BEXXjEWisF42/RJyYIF5n6zTkxVSJxpxvm1F3eSzmFM+TAj5EhJj7QRQ/fnweIOD3NRkmx12veqDRsUncqs42jdPuPupewwPLmsxrG8tp/uVAnF8IxPmBII0NjvH3FFOavcemXc/dUSBQpfH/NH7++HuKxwDx7Q6Ozf3XYp2zL82Oe6DuHNzfo8bfpyb/p26c8Q//eANvY2JoJSE428QafycOVOG08svTCSKQHgowMDOJwVnJXDh9KLNGZXPG5EFkJAcTezLTY3mdWG4ErgFWAV8BXsB5omRnzAE2qeoWABF5ElgAHDKxADy2ZAePLdnRyRCMV5wEQpMP/Pb5fYJPnMZJ59U8KQjOMhFpPLbPJ409Z5xE5azzNUlezrp4SRx3vTQud3drNu+Ln0Pi52yxj4BfxO2VJATdOALu/IGXU68fX+fzNd+m6bIOb+OPb+sjJeQjJRggNeQnNeQnJeQnNeTMx794mKOb173CYsD97itRhgE7m8wXAMe33EhErsPpOEBo8LjG5QuPG8FZxwwmLSlARnKAcCRGbUP0wB+t+0fjdE30kZkcpD4So6KugVjM+XChyQdV/A8SnO56glMqaatXRV1DlHAkRsDvI+B3ztfa32nLsk5r28RjbtqTxC8HPjziXQjhwIdlvNQS/2DxNfkwi8WU+kissceI3yfNPpAbjxmLNRajmn4Ig/Mtu/n7OPDBGv9QFWllefwDu5UP76b7tkb14BKN3yf2AWhMF/G6V9hWWqnJUdUxXX1uVb0PuA8gc8SExhh+dM4kslKtyN6XSLPkbMnEmK7mdVVY094EycClOF2PO2MXMKLJ/HB3WZt8Tb65ZqZ4fUmMMaZ383SsMFUtafLapaq/Bc7r5GE/APJFZLSIhICFwKL2dhiSldw4bdUjxhjTOV5Xhc1sMuvDKcF0KiZVjYjI9cDLON2NH1LVT9rbJy0p0P3PQzbGmD7K63qfO5pMR4BtwGWdPaiqvoDTw6zD7rxsGpnWHdIYYzrN615h8708f1OfmTnc6xCMMaZP8Loq7DvtrVfVO7srFmOMMYnhdVXYbJxn3scb1y8AlgIbPYvIGGNMp3idWIYDM1W1EkBEbgX+qapf8DQqY4wxR8zrRxMPAsJN5sPuMmOMMb2U1yWWR4GlIvKsO/8fwCPehWOMMaazvO4V9nMReRGY5y76oqp+5GVMxhhjOsfrqjCAVKBCVX8HFIjIaK8DMsYYc+Q8TSwi8hPgh8CP3EVB4M/eRWSMMaazvC6xXARcCFQDqOpuIMPTiIwxxnSK14klrM4DMhRARNI8jscYY0wneZ1YnhKRPwL9ROTLwGsk9qFfxhhjuplnvcLEGZ/+L8BEoAKYANyiqq96FZMxxpjO8yyxqKqKyAuqOgWwZGKMMX2E11VhH4rIcR7HYIwxJoG8vvP+eOALIrINp2eY4BRmpnoalTHGmCPmSWIRkZGqugM4y4vzG2OM6TpelVj+jjOq8XYR+auqXuxRHMYYYxLMqzYWaTI9xqMYjDHGdAGvEou2MW2MMaaX86oqbJqIVOCUXFLcaTjQeJ/pUVzGGGM6yZPEoqp+L85rjDGm63l9H4sxxpg+xhKLMcaYhLLEYowxJqEssRhjjEkoSyzGGGMSyhKLMcaYhLLEYowxJqEssRhjjEkoSyzGGGMSyhKLMcaYhOpTiUVEfi0i60RkpYg8KyL9vI7JGGOONn0qsQCvAse6T6DcAPzI43iMMeao06cSi6q+oqoRd3YxMNzLeIwx5mjUpxJLC18CXmxrpYhcJyLLRGRZUVFRN4ZljDF9m1fPYzliIvIaMLiVVTer6nPuNjcDEeCxto6jqvcB9wHMnj3bHjZmjDEJ0usSi6qe3t56EbkaOB84TVUtYRhjTDfrdYmlPSJyNvAD4FRVrfE6HmOMORr1tTaWPwAZwKsiskJE7vU6IGOMOdr0qRKLqo7zOgZjjDna9bUSizHGGI9ZYjHGGJNQYh2nQEQqgfVex9FB/YFir4PoIIu1a/SmWKF3xWuxHp5Rqjqg5cI+1cbSCetVdbbXQXSEiCyzWBPPYu06vSleizUxrCrMGGNMQlliMcYYk1CWWBz3eR3AYbBYu4bF2nV6U7wWawJY470xxpiEshKLMcaYhLLEYowxJqGO6sQiImeLyHoR2SQiN3odD4CIbBORVe5YZ8vcZTki8qqIbHR/ZrvLRUTucuNfKSIzuyG+h0SkUERWN1l22PGJyFXu9htF5KpujPVWEdnlXt8VInJuk3U/cmNdLyJnNVne5b8nIjJCRN4UkTUi8omI3OAu73HXtp1Ye9y1FZFkEVkqIh+7sf7UXT5aRJa45/2LiITc5Unu/CZ3fd6h3kM3xPqwiGxtcl2nu8s9/ftql6oelS/AD2wGxgAh4GNgcg+IaxvQv8WyXwE3utM3Are70+fiPMxMgBOAJd0Q3ynATGD1kcYH5ABb3J/Z7nR2N8V6K/C9Vrad7P4OJAGj3d8Nf3f9ngBDgJnudAbOo7Un98Rr206sPe7autcn3Z0OAkvc6/UUsNBdfi/wNXf668C97vRC4C/tvYduivVh4JJWtvf076u919FcYpkDbFLVLaoaBp4EFngcU1sWAI+4048A/9Fk+aPqWAz0E5EhXRmIqr4NlHYyvrOAV1W1VFXLgFeBs7sp1rYsAJ5U1XpV3Qpswvkd6ZbfE1Xdo6ofutOVwFpgGD3w2rYTa1s8u7bu9alyZ4PuS4FPA8+4y1te1/j1fgY4TUSknffQHbG2xdO/r/YczYllGLCzyXwB7f9xdBcFXhGR5SJynbtskKrucaf3AoPc6Z7yHg43Pq/jvt6tOngoXrXUTkzdHqtb/TID5xtrj762LWKFHnhtRcQvIiuAQpwP2c3AflWNtHLexpjc9eVArlexqmr8uv7cva6/EZGklrG2iMnrv6+jOrH0VCer6kzgHOAbInJK05XqlHV7bB/xnh4fcA8wFpgO7AHu8DSaFkQkHfgr8G1VrWi6rqdd21Zi7ZHXVlWjqjodGI5TypjobURtaxmriBwL/Agn5uNwqrd+6F2EHXM0J5ZdwIgm88PdZZ5S1V3uz0LgWZw/hH3xKi73Z6G7eU95D4cbn2dxq+o+9483BtzPgeoMz2MVkSDOB/Vjqvo3d3GPvLatxdqTr60b337gTWAuTrVRfKzEpudtjMldnwWUeBjr2W7Vo6pqPfB/9LDr2pqjObF8AOS7vUNCOA11i7wMSETSRCQjPg2cCax244r37LgKeM6dXgRc6fYOOQEob1Jt0p0ON76XgTNFJNutLjnTXdblWrRBXYRzfeOxLnR7BY0G8oGldNPviVuP/yCwVlXvbLKqx13btmLtiddWRAaISD93OgU4A6dN6E3gEnezltc1fr0vAd5wS4ptvYeujnVdky8WgtMW1PS69qi/r0bd2VOgp71welVswKlzvbkHxDMGp+fJx8An8Zhw6nhfBzYCrwE57nIB7nbjXwXM7oYYn8Cp5mjAqbu95kjiA76E0wC6CfhiN8b6JzeWlTh/mEOabH+zG+t64Jzu/D0BTsap5loJrHBf5/bEa9tOrD3u2gJTgY/cmFYDtzT5W1vqXqOngSR3ebI7v8ldP+ZQ76EbYn3Dva6rgT9zoOeYp39f7b1sSBdjjDEJdTRXhRljjOkClliMMcYklCUWY4wxCWWJxRhjTEJZYjHGGJNQlliM6WYi0k9Evu5ODxWRZw61jzG9iXU3NqabueNr/UNVj/U6FmO6QuDQmxhjEuw2YKw72OBGYJKqHisiV+PcWZ2Gc2f3/8MZTv4KoB44V1VLRWQszo1xA4Aa4Muquq6734QxbbGqMGO6343AZnUGG/x+i3XHAp/BGXDw50CNqs4A3geudLe5D/imqs4Cvgf8b3cEbUxHWYnFmJ7lTXWecVIpIuXA8+7yVcBUd0ThE4GnnaGjAOfhU8b0GJZYjOlZ6ptMx5rMx3D+Xn04zxKZ3s1xGdNhVhVmTPerxHmk72FT57knW0XkUmh87vm0RAZnTGdZYjGmm6lqCfCuiKwGfn0Eh7gcuEZE4qNg99RHapujlHU3NsYYk1BWYjHGGJNQlliMMcYklCUWY4wxCWWJxRhjTEJZYjHGGJNQlliMMcYklCUWY4wxCfX/AQ7ibzWdL9rDAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -170,12 +170,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -200,7 +200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -224,14 +224,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['Rpsi4mode43_r12.l0', 'Rpsi4mode41_r12.l0', 'Rpsi4mode33_r01.l0', 'Rpsi4mode21_r12.l0', 'Rpsi4mode42_r01.l0', 'Rpsi4mode20_r01.l0', 'Rpsi4mode33_r12.l0', 'Rpsi4mode40_r12.l0', 'Rpsi4mode40_r01.l0', 'Rpsi4mode21_r01.l0', 'Rpsi4mode32_r12.l0', 'Rpsi4mode43_r01.l0', 'Rpsi4mode22_r12.l0', 'Rpsi4mode44_r12.l0', 'Rpsi4mode30_r01.l0', 'Rpsi4mode44_r01.l0', 'Rpsi4mode31_r12.l0', 'Rpsi4mode22_r01.l0', 'Rpsi4mode41_r01.l0', 'Rpsi4mode30_r12.l0', 'Rpsi4mode42_r12.l0', 'Rpsi4mode20_r12.l0', 'Rpsi4mode32_r01.l0', 'Rpsi4mode31_r01.l0']\n"
+      "['Rpsi4mode40_r12.l0', 'Rpsi4mode44_r12.l0', 'Rpsi4mode42_r12.l0', 'Rpsi4mode31_r01.l0', 'Rpsi4mode33_r12.l0', 'Rpsi4mode20_r01.l0', 'Rpsi4mode32_r12.l0', 'Rpsi4mode44_r01.l0', 'Rpsi4mode20_r12.l0', 'Rpsi4mode43_r01.l0', 'Rpsi4mode30_r12.l0', 'Rpsi4mode22_r12.l0', 'Rpsi4mode30_r01.l0', 'Rpsi4mode32_r01.l0', 'Rpsi4mode31_r12.l0', 'Rpsi4mode21_r01.l0', 'Rpsi4mode33_r01.l0', 'Rpsi4mode41_r01.l0', 'Rpsi4mode21_r12.l0', 'Rpsi4mode40_r01.l0', 'Rpsi4mode41_r12.l0', 'Rpsi4mode22_r01.l0', 'Rpsi4mode42_r01.l0', 'Rpsi4mode43_r12.l0']\n"
      ]
     }
    ],
@@ -250,7 +250,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -267,7 +267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -283,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -300,12 +300,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -344,7 +344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -366,7 +366,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -390,14 +390,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['Rh_l2_m2_r00800.txt', 'Rh_l4_m4_r00800.txt', 'Rh_l4_m3_r00800.txt', 'Rh_l4_m2_r00800.txt', 'Rh_l2_m0_r00800.txt', 'Rh_l3_m3_r00800.txt', 'Rh_l3_m2_r00800.txt', 'Rh_l3_m0_r00800.txt', 'Rh_l4_m1_r00800.txt', 'Rh_l3_m1_r00800.txt', 'Rh_l2_m1_r00800.txt', 'Rh_l4_m0_r00800.txt']\n"
+      "['Rh_l4_m1_r00800.txt', 'Rh_l2_m0_r00800.txt', 'Rh_l4_m2_r00800.txt', 'Rh_l2_m1_r00800.txt', 'Rh_l3_m1_r00800.txt', 'Rh_l4_m4_r00800.txt', 'Rh_l4_m0_r00800.txt', 'Rh_l3_m3_r00800.txt', 'Rh_l2_m2_r00800.txt', 'Rh_l3_m2_r00800.txt', 'Rh_l3_m0_r00800.txt', 'Rh_l4_m3_r00800.txt']\n"
      ]
     }
    ],
@@ -408,12 +408,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -447,7 +447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -458,16 +458,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "No .h5 file found!\n"
+     ]
+    }
+   ],
    "source": [
     "ch5 = CoRe_h5(bamsim['pre-release-folder']) # write .h5 to mysim['pre-release-folder'] ..."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -484,7 +492,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -558,12 +566,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -590,7 +598,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -617,7 +625,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -692,12 +700,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -797,7 +805,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -806,16 +814,17 @@
      "text": [
       "File metadata.txt not found\n",
       ".\n",
-      "{'database_key': None, 'simulation_name': None, 'available_resolutions': None, 'reference_bibkeys': None, 'id_code': None, 'id_type': None, 'id_mass': None, 'id_rest_mass': None, 'id_mass_ratio': None, 'id_ADM_mass': None, 'id_ADM_angularmomentum': None, 'id_gw_frequency_Hz': None, 'id_gw_frequency_Momega22': None, 'id_eos': None, 'id_kappa2T': None, 'id_Lambda': None, 'id_mass_starA': None, 'id_rest_mass_starA': None, 'id_spin_starA': None, 'id_LoveNum_kell_starA': None, 'id_Lambdaell_starA': None, 'id_mass_starB': None, 'id_rest_mass_starB': None, 'id_spin_starB': None, 'id_LoveNum_kell_starB': None, 'id_Lambdaell_starB': None, 'id_eccentricity': None, 'evolution_code': None, 'grid_refinement_levels': None, 'grid_refinement_levels_moving': None, 'grid_refinement_levels_npoints': None, 'grid_refinement_levels_moving_npoints': None, 'grid_spacing_min': None, 'grid_symmetries': None, 'grid_shells': None, 'grid_shells_radial_npoints': None, 'grid_shells_angular_npoints': None, 'grid_conservative_amr': None, 'metric_scheme': None, 'metric_boundary_conditions': None, 'eos_evolution_Gamma_thermal': None, 'hydro_flux': None, 'hydro_reconstruction': None, 'hydro_atmosphere_level': None, 'hydro_atmosphere_factor': None, 'evolution_mol_scheme': None, 'number_of_orbits': None}\n",
+      "{'database_key': None, 'available_runs': None, 'simulation_name': None, 'binary_type': None, 'reference_bibkeys': None, 'id_code': None, 'id_type': None, 'id_mass': None, 'id_rest_mass': None, 'id_mass_ratio': None, 'id_ADM_mass': None, 'id_ADM_angularmomentum': None, 'id_gw_frequency_Hz': None, 'id_gw_frequency_Momega22': None, 'id_eos': None, 'id_kappa2T': None, 'id_Lambda': None, 'id_eccentricity': None, 'id_mass_starA': None, 'id_rest_mass_starA': None, 'id_spin_starA': None, 'id_LoveNum_kell_starA': None, 'id_Lambdaell_starA': None, 'id_mass_starB': None, 'id_rest_mass_starB': None, 'id_spin_starB': None, 'id_LoveNum_kell_starB': None, 'id_Lambdaell_starB': None, 'evolution_code': None, 'grid_refinement_levels': None, 'grid_refinement_levels_moving': None, 'grid_refinement_levels_npoints': None, 'grid_refinement_levels_moving_npoints': None, 'grid_spacing_min': None, 'grid_symmetries': None, 'grid_shells': None, 'grid_shells_radial_npoints': None, 'grid_shells_angular_npoints': None, 'grid_conservative_amr': None, 'subgrid_model': None, 'metric_scheme': None, 'metric_boundary_conditions': None, 'hydro_flux': None, 'hydro_reconstruction': None, 'hydro_atmosphere_level': None, 'hydro_atmosphere_factor': None, 'number_of_orbits': None, 'evolution_mol_scheme': None, 'eos_evolution_Gamma_thermal': None, 'neutrino_scheme': None, 'id_gw_NR_frequency_Hz': None, 'Hybrid_window_freq_Hz': None, 'TEOB_Lambda_starA': None, 'TEOB_Lambda_starB': None, 'TEOB_version': None, 'NR_simulation_key': None}\n",
       "\n",
       " *** CoRe DB METADATA ***\n",
       "\n",
       "database_key : A string like BAM:0001:R01 or THC:0013:R02 that identifies the simulation by the code employed for the evolution and a unique progressive number in the CoRe DB. The first part of the string corresponds to the repository name, like `BAM:0001` or `THC:0013`, and appears in the summary `metadata_main.txt`. The full string includes the different runs (different resolutions, grid setups, hydro scheme, etc.) and appears in the `metadata.txt` inside each run folder.\n",
       "\n",
+      "available_runs : This is the list of runs (different resolutions, grid setups, hydro scheme, etc.) available for a given simulation, e.g. R01, R02, R03, etc. Note that with \"simulation\" here we indicate the  set of runs of a given physical setup, i.e. of the same initial data and with the same physical assumptions (e.g. description of matter fields).\n",
+      "\n",
       "simulation_name : A string that identifies the simulated binary. The convention used so far is `<EOS>_<mass1>_<mass2>_<spin1z>_<spin2z>_<initial_frequency>_<setup_details>` formatted as e.g. `2B_1.350_1.350_0.00_0.00_0.038_0.186`. Similarly to the database_key, the first part of this string common to all runs of a simulation appears in the summary `metadata_main.txt`, While the full string appears in the `metadata.txt` inside each run folder.\n",
       "\n",
-      "available_resolutions : This is the list of runs (different resolutions, grid setups, hydro scheme, etc.) available for a given simulation, e.g. R01, R02, R03, etc. Note that with \"simulation\" here we indicate the  set of runs of a given physical setup, i.e. of the same initial data and with the same physical assumptions (e.g. description of matter fields).\n",
-      "[This field should really be called `available_runs`, to be fixed in the future]..\n",
+      "binary_type : Type of binary: BBH, BNS, or BHNS.\n",
       "\n",
       "reference_bibkeys : BibTeX code(s) from HEP-SPIRES referrring to the publication of the simulation..\n",
       "\n",
@@ -843,6 +852,8 @@
       "\n",
       "id_Lambda : Initial data: reduced tidal parameters (this is really $\tilde{\\Lambda}$).\n",
       "\n",
+      "id_eccentricity : Initial data: measured eccentricity..\n",
+      "\n",
       "id_mass_starA : Initial data: Gravitational (TOV) mass of star A (solar masses).\n",
       "\n",
       "id_rest_mass_starA : Initial data: Rest-mass of star A (solar masses).\n",
@@ -863,8 +874,6 @@
       "\n",
       "id_Lambdaell_starB : Initial data: tidal polarizability parameters for star B and for ell=2,3,4.\n",
       "\n",
-      "id_eccentricity : Initial data: measured eccentricity..\n",
-      "\n",
       "evolution_code : Code employed for the evolution of initial data, e.g. BAM, THC, etc.\n",
       "\n",
       "grid_refinement_levels : Number of AMR refinement levels.\n",
@@ -887,12 +896,12 @@
       "\n",
       "grid_conservative_amr : Tells if a refluxing scheme was employed in the simulations.\n",
       "\n",
+      "subgrid_model : Subgrid model: None, visL5, visL10, or visK.\n",
+      "\n",
       "metric_scheme : Formulation employed for the metric field, e.g. Z4c, BSSN, etc.\n",
       "\n",
       "metric_boundary_conditions : Boundary conditions for the metric fields.\n",
       "\n",
-      "eos_evolution_Gamma_thermal : EOS employed in the evolution or value of the adiabatic exponent for the thermal pressure component.\n",
-      "\n",
       "hydro_flux : Numerical flux employed in the hydrodynamics scheme.\n",
       "\n",
       "hydro_reconstruction : Reconstruction method employed in the hydrodynamics.\n",
@@ -901,9 +910,25 @@
       "\n",
       "hydro_atmosphere_factor : Atmosphere is set when rest-mass density drops below the atmosphere level times this factor.\n",
       "\n",
+      "number_of_orbits : Number of orbits.\n",
+      "\n",
       "evolution_mol_scheme : Time integrator used in the method of line scheme.\n",
       "\n",
-      "number_of_orbits : Number of orbits.\n",
+      "eos_evolution_Gamma_thermal : EOS employed in the evolution or value of the adiabatic exponent for the thermal pressure component.\n",
+      "\n",
+      "neutrino_scheme : Neutrino scheme: None, Leakage, or M0.\n",
+      "\n",
+      "id_gw_NR_frequency_Hz : Initial frequency of the waveform in Herz.\n",
+      "\n",
+      "Hybrid_window_freq_Hz : Frequency window for the hrybrid part of the waveform in Herz.\n",
+      "\n",
+      "TEOB_Lambda_starA : Tidal deformability of star A for TEOB waveform.\n",
+      "\n",
+      "TEOB_Lambda_starB : Tidal deformability of star B for TEOB waveform.\n",
+      "\n",
+      "TEOB_version : version of TEOBResumS used.\n",
+      "\n",
+      "NR_simulation_key : database_key of the simulation used, identifying it by the code employed for the evolution, e.g. BAM:0013:R02.\n",
       "\n"
      ]
     }
@@ -937,7 +962,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {
     "scrolled": true
    },
@@ -947,8 +972,9 @@
      "output_type": "stream",
      "text": [
       "database_key = None\n",
+      "available_runs = None\n",
       "simulation_name = None\n",
-      "available_resolutions = None\n",
+      "binary_type = None\n",
       "reference_bibkeys = None\n",
       "id_code = LORENE\n",
       "id_type = Irrotational\n",
@@ -962,6 +988,7 @@
       "id_eos = ABC\n",
       "id_kappa2T = 159.0084296249798\n",
       "id_Lambda = 848.0449579998918\n",
+      "id_eccentricity = None\n",
       "id_mass_starA = 1.35\n",
       "id_rest_mass_starA = 1.47277\n",
       "id_spin_starA = (0, 0, 0)\n",
@@ -972,7 +999,6 @@
       "id_spin_starB = None\n",
       "id_LoveNum_kell_starB = None\n",
       "id_Lambdaell_starB = None\n",
-      "id_eccentricity = None\n",
       "evolution_code = None\n",
       "grid_refinement_levels = None\n",
       "grid_refinement_levels_moving = None\n",
@@ -984,15 +1010,23 @@
       "grid_shells_radial_npoints = None\n",
       "grid_shells_angular_npoints = None\n",
       "grid_conservative_amr = None\n",
+      "subgrid_model = None\n",
       "metric_scheme = None\n",
       "metric_boundary_conditions = None\n",
-      "eos_evolution_Gamma_thermal = None\n",
       "hydro_flux = None\n",
       "hydro_reconstruction = None\n",
       "hydro_atmosphere_level = None\n",
       "hydro_atmosphere_factor = None\n",
-      "evolution_mol_scheme = None\n",
       "number_of_orbits = None\n",
+      "evolution_mol_scheme = None\n",
+      "eos_evolution_Gamma_thermal = None\n",
+      "neutrino_scheme = None\n",
+      "id_gw_NR_frequency_Hz = None\n",
+      "Hybrid_window_freq_Hz = None\n",
+      "TEOB_Lambda_starA = None\n",
+      "TEOB_Lambda_starB = None\n",
+      "TEOB_version = None\n",
+      "NR_simulation_key = None\n",
       "folder = ./TestData/MySim_THC_135135\n",
       "mass = 2.728\n",
       "q = 1.0\n",
@@ -1037,7 +1071,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1051,9 +1085,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/watpy/coredb/coredb.py b/watpy/coredb/coredb.py
index d99241afa01bd1ee6be13e697925671c731e6fb8..4d71f00ae53e1d9057f573f0e21ef2f31135c058 100644
--- a/watpy/coredb/coredb.py
+++ b/watpy/coredb/coredb.py
@@ -118,7 +118,7 @@ class CoRe_sim():
         # Need to update also the metadata_main.tex
         if len(r)==1: sep = ''
         else:         sep = ', '
-        self.md.data['available_resolutions'] += sep + r[-1]
+        self.md.data['available_runs'] += sep + r[-1]
         self.write_metadata()
         
     def del_run(self,r):
diff --git a/watpy/coredb/metadata.py b/watpy/coredb/metadata.py
index 9b3827b857ce7873c7d3c1bd0ad73c30e834b8ca..43bb221a710087bea24c5d436316b33938b44da6 100644
--- a/watpy/coredb/metadata.py
+++ b/watpy/coredb/metadata.py
@@ -11,10 +11,12 @@ from string import Template
 MDKEYS = {
     'database_key': 'A string like BAM:0001:R01 or THC:0013:R02 that identifies the simulation by the code employed for the evolution and a unique progressive number in the CoRe DB. The first part of the string corresponds to the repository name, like `BAM:0001` or `THC:0013`, and appears in the summary `metadata_main.txt`. The full string includes the different runs (different resolutions, grid setups, hydro scheme, etc.) and appears in the `metadata.txt` inside each run folder',
     #
-    'available_resolutions': 'This is the list of runs (different resolutions, grid setups, hydro scheme, etc.) available for a given simulation, e.g. R01, R02, R03, etc. Note that with "simulation" here we indicate the  set of runs of a given physical setup, i.e. of the same initial data and with the same physical assumptions (e.g. description of matter fields).\n[This field should really be called `available_runs`, to be fixed in the future].',
+    'available_runs': 'This is the list of runs (different resolutions, grid setups, hydro scheme, etc.) available for a given simulation, e.g. R01, R02, R03, etc. Note that with "simulation" here we indicate the  set of runs of a given physical setup, i.e. of the same initial data and with the same physical assumptions (e.g. description of matter fields)',
     #
     'simulation_name': 'A string that identifies the simulated binary. The convention used so far is `<EOS>_<mass1>_<mass2>_<spin1z>_<spin2z>_<initial_frequency>_<setup_details>` formatted as e.g. `2B_1.350_1.350_0.00_0.00_0.038_0.186`. Similarly to the database_key, the first part of this string common to all runs of a simulation appears in the summary `metadata_main.txt`, While the full string appears in the `metadata.txt` inside each run folder',
     #
+    'binary_type': 'Type of binary: BBH, BNS, or BHNS',
+    #
     'reference_bibkeys': 'BibTeX code(s) from HEP-SPIRES referrring to the publication of the simulation.', 
     #
     'id_code': 'Initial data: Code employed for generating initial data',
@@ -85,6 +87,8 @@ MDKEYS = {
     #
     'grid_conservative_amr': 'Tells if a refluxing scheme was employed in the simulations',
     #
+    'subgrid_model': 'Subgrid model: None, visL5, visL10, or visK',
+    #
     'metric_scheme': 'Formulation employed for the metric field, e.g. Z4c, BSSN, etc',
     #
     'metric_boundary_conditions': 'Boundary conditions for the metric fields',
@@ -103,6 +107,8 @@ MDKEYS = {
     #
     'eos_evolution_Gamma_thermal': 'EOS employed in the evolution or value of the adiabatic exponent for the thermal pressure component',
     #
+    'neutrino_scheme': 'Neutrino scheme: None, Leakage, or M0',
+    #
     'id_gw_NR_frequency_Hz': 'Initial frequency of the waveform in Herz',
     #
     'Hybrid_window_freq_Hz': 'Frequency window for the hrybrid part of the waveform in Herz',
@@ -129,11 +135,12 @@ database_key            = ${database_key}
 """
 
 TXT_SUBHEAD1="""\
-available_resolutions   = ${available_resolutions}
+available_runs          = ${available_runs}
 """
 
 TXT_SUBHEAD2="""\
 simulation_name         = ${simulation_name}
+binary_type             = ${binary_type}
 reference_bibkeys       = ${reference_bibkeys}
 """
 
@@ -182,6 +189,7 @@ grid_shells                           = ${grid_shells}
 grid_shells_radial_npoints            = ${grid_shells_radial_npoints}
 grid_shells_angular_npoints           = ${grid_shells_angular_npoints}
 grid_conservative_amr                 = ${grid_conservative_amr}
+subgrid_model                         = ${subgrid_model}
 metric_scheme                         = ${metric_scheme}
 metric_boundary_conditions            = ${metric_boundary_conditions}
 hydro_flux                            = ${hydro_flux}
@@ -191,6 +199,7 @@ hydro_atmosphere_factor               = ${hydro_atmosphere_factor}
 number_of_orbits                      = ${number_of_orbits}
 evolution_mol_scheme                  = ${evolution_mol_scheme}
 eos_evolution_Gamma_thermal           = ${eos_evolution_Gamma_thermal}
+neutrino_scheme                       = ${neutrino_scheme}
 """
 
 TXT_H="""\