ENH: Introducing the Monte Carlo class

docs/notebooks/dispersion_analysis/dispersion_analysis.ipynb → docs/notebooks/monte_carlo_analysis/monte_carlo_analysis.ipynb

@@ -384,7 +384,7 @@
    ],
    "source": [
     "# Basic analysis info\n",
-    "filename = \"dispersion_analysis_outputs/valetudo_rocket_v0\"\n",
+    "filename = \"monte_carlo_analysis_outputs/valetudo_rocket_v0\"\n",
     "number_of_simulations = 100\n",
     "\n",
     "# Create data files for inputs, outputs and error logging\n",
@@ -404,7 +404,7 @@
     "Env.max_expected_height = 1500\n",
     "Env.set_atmospheric_model(\n",
     "    type=\"Ensemble\",\n",
-    "    file=\"dispersion_analysis_inputs/LASC2019_reanalysis.nc\",\n",
+    "    file=\"monte_carlo_analysis_inputs/LASC2019_reanalysis.nc\",\n",
     "    dictionary=\"ECMWF\",\n",
     ")\n",
     "\n",
@@ -428,7 +428,7 @@
     "\n",
     "    # Create motor\n",
     "    Keron = SolidMotor(\n",
-    "        thrust_source=\"dispersion_analysis_inputs/thrustCurve.csv\",\n",
+    "        thrust_source=\"monte_carlo_analysis_inputs/thrustCurve.csv\",\n",
     "        burn_time=5.274,\n",
     "        reshape_thrust_curve=(setting[\"burn_time\"], setting[\"impulse\"]),\n",
     "        nozzle_radius=setting[\"nozzle_radius\"],\n",
@@ -460,8 +460,8 @@
     "            setting[\"rocket_inertia_11\"],\n",
     "            setting[\"rocket_inertia_33\"],\n",
     "        ),\n",
-    "        power_off_drag=\"dispersion_analysis_inputs/Cd_PowerOff.csv\",\n",
-    "        power_on_drag=\"dispersion_analysis_inputs/Cd_PowerOn.csv\",\n",
+    "        power_off_drag=\"monte_carlo_analysis_inputs/Cd_PowerOff.csv\",\n",
+    "        power_on_drag=\"monte_carlo_analysis_inputs/Cd_PowerOn.csv\",\n",
     "        center_of_mass_without_motor=0,\n",
     "        coordinate_system_orientation=\"tail_to_nose\",\n",
     "    )\n",
@@ -574,7 +574,7 @@
     }
    ],
    "source": [
-    "filename = \"dispersion_analysis_outputs/valetudo_rocket_v0\"\n",
+    "filename = \"monte_carlo_analysis_outputs/valetudo_rocket_v0\"\n",
     "\n",
     "# Initialize variable to store all results\n",
     "dispersion_general_results = []\n",
@@ -20354,7 +20354,7 @@
     "from matplotlib.patches import Ellipse\n",
     "\n",
     "# Import background map\n",
-    "img = imread(\"dispersion_analysis_inputs/Valetudo_basemap_final.jpg\")\n",
+    "img = imread(\"monte_carlo_analysis_inputs/Valetudo_basemap_final.jpg\")\n",
     "\n",
     "# Retrieve dispersion data por apogee and impact XY position\n",
     "apogee_x = np.array(dispersion_results[\"apogee_x\"])\n",

docs/notebooks/monte_carlo_analysis/monte_carlo_analysis_outputs/monte_carlo_class_example.kml

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