This is a short script to plot MESSENGER magnetic field data as well as bow shock and magnetopause crossings along an orbit.

MESSENGER_plottingB_BS_MP.ipynb

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    "# Copyright 2020 Alexander Lavrukhin <lavrukhin@physics.msu.ru>, David Parunakian <rumith@srd.sinp.msu.ru>\n",
    "#\n",
    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
    "# you may not use this file except in compliance with the License.\n",
    "# You may obtain a copy of the License at\n",
    "#\n",
    "#    http://www.apache.org/licenses/LICENSE-2.0\n",
    "#\n",
    "# Unless required by applicable law or agreed to in writing, software\n",
    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
    "# See the License for the specific language governing permissions and\n",
    "# limitations under the License."
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    "#############################################################\n",
    "# Short script to plot MESSENGER magnetic field and bow shock \n",
    "# and magnetopause crossings along an orbit\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.graph_objs as go\n",
    "import plotly.express as px\n",
    "from plotly.subplots import make_subplots\n",
    "\n",
    "\n",
    "# ENTER NUMBER OF ORBIT # (EXCLUDING 0025, 0026) #\n",
    "orbit = '0027'\n",
    "#_______________________#________________________#\n",
    "\n",
    "# Reading orbit file from FTP\n",
    "df = pd.read_csv('ftp://epn2024.sinp.msu.ru/messenger/messenger-' + orbit + '.csv', sep = ',')\n",
    "df[\"B_tot\"] = (df[\"BX_MSO\"]**2 + df[\"BY_MSO\"]**2 + df[\"BZ_MSO\"]**2)**0.5\n",
    "\n",
    "# Reading crossings file from FTP\n",
    "# BS - bow shock; MP - magnetopause\n",
    "df_cross = pd.read_csv('ftp://epn2024.sinp.msu.ru/messenger/Mercury_BS_and_MP_crossings.csv', sep = ',')\n",
    "print(df_cross.head())\n"
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    "# plotting total magnetic field magnitude B along the orbit\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Scatter(x = df['DATE'], y = df['B_tot'], name = 'B_total'))\n",
    "\n",
    "# BS MP crossings times\n",
    "orb_num = int(orbit) - 1\n",
    "for i in range(1,9):\n",
    "  fig.add_trace(go.Scatter(x = [df_cross.iloc[orb_num][i], df_cross.iloc[orb_num][i]], y = [0, 450], mode='lines', name = df_cross.columns[i], line_color = 'black'))\n",
    "\n",
    "fig.show()"
   ]
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   "source": [
    "# Plotting components of the magnetic field B_x, B_y, B_z in MSO coordinates\n",
    "\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Scatter(x = df['DATE'], y = df['BX_MSO'], name = 'B_x'))\n",
    "fig.add_trace(go.Scatter(x = df['DATE'], y = df['BY_MSO'], name = 'B_y'))\n",
    "fig.add_trace(go.Scatter(x = df['DATE'], y = df['BZ_MSO'], name = 'B_z'))\n",
    "\n",
    "# BS MP crossings times\n",
    "orb_num = int(orbit) - 1\n",
    "for i in range(1,9):\n",
    "  fig.add_trace(go.Scatter(x = [df_cross.iloc[orb_num][i], df_cross.iloc[orb_num][i]], y = [-450, 450], mode='lines', name = df_cross.columns[i], line_color = 'black'))\n",
    "\n",
    "fig.show()"
   ]
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requirements.txt

pandas
numpy
plotly

runtime.txt

python-3.8