Solar Orbiter MAG data

Downloading and plotting MAG data from Solar Orbiter.

Import the required modules

from datetime import datetime

import matplotlib.pyplot as plt
from matplotlib import dates as mdates
import numpy as np

from heliopy.data.solo import download

Download some magnetic field data

data = download(datetime(2020, 6, 2), datetime(2020, 6, 3), 'MAG-RTN-NORMAL', 'L2')
print(data.columns)

Out:

Downloading http://soar.esac.esa.int/soar-sl-tap/data?retrieval_type=PRODUCT&product_type=SCIENCE&data_item_id=solo_L2_mag-rtn-normal_20200603 to /home/docs/heliopy/data/solar_orbiter/MAG-RTN-NORMAL/L2/solo_L2_mag-rtn-normal_20200603.cdf

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Downloading http://soar.esac.esa.int/soar-sl-tap/data?retrieval_type=PRODUCT&product_type=SCIENCE&data_item_id=solo_L2_mag-rtn-normal_20200602 to /home/docs/heliopy/data/solar_orbiter/MAG-RTN-NORMAL/L2/solo_L2_mag-rtn-normal_20200602.cdf

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100.0% 10731520 / 10735098
100.0% 10739712 / 10735098


Downloading http://soar.esac.esa.int/soar-sl-tap/data?retrieval_type=PRODUCT&product_type=SCIENCE&data_item_id=solo_L2_mag-rtn-normal_20200601 to /home/docs/heliopy/data/solar_orbiter/MAG-RTN-NORMAL/L2/solo_L2_mag-rtn-normal_20200601.cdf

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['B_RTN_0', 'B_RTN_1', 'B_RTN_2', 'VECTOR_TIME_RESOLUTION', 'VECTOR_RANGE', 'QUALITY_BITMASK', 'QUALITY_FLAG']

Calculate the magnetic field mangitude

modB = np.sqrt(data.quantity('B_RTN_0')**2 +
               data.quantity('B_RTN_1')**2 +
               data.quantity('B_RTN_2')**2)
data = data.add_column('modB', modB)

Plot the data

fig, axs = plt.subplots(nrows=2, sharex=True)

ax = axs[0]
ax.plot(data.index, data.quantity('modB'))
ax.set_ylabel('nT')
ax.set_title(r'$|B|$')
ax.set_ylim(bottom=0)

ax = axs[1]
ax.plot(data.index, data.quantity('B_RTN_0'))
ax.set_ylabel('nT')
ax.set_title(r'$B_{r}$')
ax.axhline(0, color='black', linewidth=1, linestyle='--')

fig.suptitle('Solar Orbiter MAG L2 data')
ax.xaxis.set_major_formatter(
    mdates.ConciseDateFormatter(mdates.AutoDateLocator()))
plt.show()
Solar Orbiter MAG L2 data, $|B|$, $B_{r}$

Total running time of the script: ( 0 minutes 59.117 seconds)

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