Update demo_mock_ensemble_realistic.ipynb

examples/demo_mock_ensemble_realistic.ipynb

@@ -133,16 +133,16 @@
     "    n_s=0.96,\n",
     "    Neff=3.04,\n",
     "    m_nu=1.0e-05,\n",
-    "    m_nu_type=\"single\",\n",
+    "    mass_split=\"single\",\n",
     ")\n",
     "hmd_200c = ccl.halos.MassDef(200, \"critical\")\n",
     "\n",
     "\n",
     "# For a different multiplicty function, the user must change this function below\n",
     "def tinker08_ccl(logm, z):\n",
     "    mass = 10 ** (logm)\n",
-    "    hmf_200c = ccl.halos.MassFuncTinker08(cosmo, mass_def=hmd_200c)\n",
-    "    nm = hmf_200c.get_mass_function(cosmo, mass, 1.0 / (1 + z))\n",
+    "    hmf_200c = ccl.halos.MassFuncTinker08(mass_def=hmd_200c)\n",
+    "    nm = hmf_200c(cosmo, mass, 1.0 / (1 + z))\n",
     "    return nm  # dn/dlog10M\n",
     "\n",
     "\n",
@@ -633,12 +633,12 @@
     "cluster_z = ran_z[indices]\n",
     "\n",
     "# Concentration CCL object to compute the theoretical concentration\n",
-    "conc_obj = ccl.halos.ConcentrationDuffy08(hmd_200c)\n",
+    "conc_obj = ccl.halos.ConcentrationDuffy08(mass_def=hmd_200c)\n",
     "conc_list = []\n",
     "for number in range(0, len(cluster_m)):\n",
     "    a = 1.0 / (1.0 + (cluster_z[number]))\n",
     "    # mean value of the concentration for that cluster\n",
-    "    lnc_mean = np.log(conc_obj.get_concentration(cosmo, M=(cluster_m[number]), a=a))\n",
+    "    lnc_mean = np.log(conc_obj(cosmo, M=(cluster_m[number]), a=a))\n",
     "    # random draw of actual concentration from normal distribution around lnc_mean, with a 0.14 scatter\n",
     "    lnc = np.random.normal(lnc_mean, 0.14)\n",
     "    conc_list.append(np.exp(lnc))\n",
@@ -1179,9 +1179,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.11",
    "language": "python",
-   "name": "python3"
+   "name": "python3.11"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1193,7 +1193,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,