Updated mock catalog generation tutorial

doc/nb/generate_survey_release_catalogs.ipynb

@@ -25,7 +25,10 @@
     "# Observed data\n",
     "catdir='/global/cfs/cdirs/desi/science/lya/y1-kp6/iron-tests/catalogs/'\n",
     "cat_name='QSO_cat_iron_main_dark_healpix_zlya-altbal_zwarn_cut_20230918.fits'\n",
-    "cat_path = os.path.join(catdir,cat_name)"
+    "cat_path = os.path.join(catdir,cat_name)\n",
+    "\n",
+    "# Master catalog\n",
+    "mastercatalog = '/global/cfs/cdirs/desi/mocks/lya_forest/london/v9.0/v9.0.0/master.fits'"
    ]
   },
   {
@@ -59,7 +62,7 @@
     "# Pass invert = True if you want to invert the random numbers generated: 1-random_number.\n",
     "# This allows generating independent mocks from the same seed.\n",
     "# TODO: Should probably refactor the class to make it clearer what refers to data and what to mocks.\n",
-    "survey=SurveyRelease(mockteam='london',subversion='v9.0.0',seed=0, \n",
+    "survey=SurveyRelease(mastercatalog=mastercatalog,seed=0, \n",
     "                     qso_only=True, data_file=cat_path,invert=False)\n",
     "# Apply redshift distribution\n",
     "# Note: For Y1 mocks (and probably Y5 too) the target selection redshift distribution from Chaussidon et al. 2022 works better to match QSO targets Iron catalog.\n",