diff --git a/Notebooks/Raster Factory.ipynb b/Notebooks/Raster Factory.ipynb
index 25ddbc4..9587aec 100644
--- a/Notebooks/Raster Factory.ipynb	
+++ b/Notebooks/Raster Factory.ipynb	
@@ -41,16 +41,10 @@
    "outputs": [],
    "source": [
     "C1 = ra.bulk_load('../Data/lidar/C1', 'C1', filter_treshold=.01, clip_treshold=.1, dtype=np.float32)\n",
-    "#C2 = ra.bulk_load('../Data/lidar/C2', 'C2', filter_treshold=.5, dtype=np.float32)\n",
-    "#C3 = ra.bulk_load('../Data/lidar/C3', 'C3', filter_treshold=.5, dtype=np.float32)\n",
-    "#C123 = ra.bulk_load('../Data/lidar', 'C123', filter_treshold=.5, dtype=np.float32)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# TMP"
+    "C2 = ra.bulk_load('../Data/lidar/C2', 'C2', filter_treshold=.01, clip_treshold=.1, dtype=np.float32)\n",
+    "C3 = ra.bulk_load('../Data/lidar/C3', 'C3', filter_treshold=.2, clip_treshold=.1, dtype=np.float32)\n",
+    "C12 = ra.bulk_load('../Data/lidar/C1', 'C1', filter_treshold=.01, clip_treshold=.1, dtype=np.float32)\n",
+    "C123 = ra.bulk_load('../Data/lidar', 'C123', filter_treshold=.08, clip_treshold=.1, dtype=np.float32)"
    ]
   },
   {
@@ -148,7 +142,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ra.auto_filter(dfc, treshold=0.5)"
+    "ra.extremum_clip(dfc, treshold=0.1)"
    ]
   },
   {
@@ -215,16 +209,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Raster Pack"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "C123.name"
+    "## Raster Pool Process"
    ]
   },
   {
@@ -238,25 +223,28 @@
     "#mp.set_start_method('spawn')\n",
     "\n",
     "def rasterize_cache_mp(data_var, field, res, method, reverse, cache):\n",
+    "    print('FROM WORKER: Start processing {} {} with {} resolution and {} interpolation {}'.format(data_var, field, res, method, 'resversed' if reverse else ''))\n",
     "    if data_var == 'C1':\n",
-    "        ra.rasterize_cache(C1, field, res, method, reverse, cache)\n",
+    "        ra.rasterize_cache(field, C1, res, method, reverse, cache)    \n",
     "    if data_var == 'C2':\n",
-    "        ra.rasterize_cache(C2, field, res, method, reverse, cache)\n",
+    "        ra.rasterize_cache(field, C2, res, method, reverse, cache)\n",
     "    if data_var == 'C3':\n",
-    "        ra.rasterize_cache(C3, field, res, method, reverse, cache)\n",
+    "        ra.rasterize_cache(field, C3, res, method, reverse, cache)\n",
     "    if data_var == 'C123':\n",
-    "        ra.rasterize_cache(C123, field, res, method, reverse, cache)\n",
+    "        ra.rasterize_cache(field, C123, res, method, reverse, cache)\n",
     "    \n",
-    "pool = Pool(processes=5)\n",
+    "pool = Pool(processes=9)\n",
     "\n",
     "job_args = list()\n",
     "\n",
     "for res in (0.5, 1., 2., 3., 5., 10., .1):\n",
     "    for reverse in (False, True):\n",
-    "        for inter in ('linear', 'nearest'):\n",
+    "        for inter in ('linear', 'nearest', 'cubic-clip'):\n",
     "            for field in ('z', 'intensity', 'num_returns'):\n",
     "                for data in ('C1', 'C2', 'C3', 'C123'):\n",
-    "                    job_args.append([data, field, res, inter, reverse, '../Res/HVR/'])\n",
+    "                    job_args.append([data, field, res, inter, reverse, '../Res/enrichment_rasters'])\n",
+    "                    \n",
+    "print(\"Job list length: {}\".format(len(job_args)))\n",
     "                    \n",
     "for i in pool.starmap(rasterize_cache_mp, job_args):\n",
     "    pass"