SCM: Search-coil Magnetometer
EDP: Electric field Double Probe (SDP+ADP)
EDI: Electron Drift Instrument
EIS: Energetic Ion Spectrometer
FEEPS: Fly's Eye Energetic Particle Sensor
HPCA: Hot Plasma Composition Analyzer
FPI: Fast Plasma Investigation
ASPOC: Active Spacecraft Potential Control
========================================================================== '''
from pyspedas.mms import mms_load_mec
# start by loading some ephemeris / coordinates data;
# the default trange is Oct 16, 2015, default probe is 1
# and the default data rate is 'srvy'
mms_load_mec(probe=4)
# find info on a load routine
help(mms_load_mec)
from pyspedas.mms import mms_load_fgm
# note that the keywords are the same as in IDL
mms_load_fgm(probe='4',
data_rate='brst',
trange=['2015-10-16/13:06', '2015-10-16/13:07'],
time_clip=True)
# find which variables were loaded
from pytplot import tplot_names
tplot_names()
def test_load_spdf_data(self):
data = mms_load_mec(trange=['2015-10-16', '2015-10-16/01:00'],
spdf=True)
self.assertTrue(data_exists('mms1_mec_r_sm'))
def test_load_suffix(self):
data = mms_load_mec(trange=['2015-10-16', '2015-10-16/01:00'],
suffix='_test')
self.assertTrue(data_exists('mms1_mec_r_sm_test'))
EDP: Electric field Double Probe (SDP+ADP)
EDI: Electron Drift Instrument
EIS: Energetic Ion Spectrometer
FEEPS: Fly's Eye Energetic Particle Sensor
HPCA: Hot Plasma Composition Analyzer
FPI: Fast Plasma Investigation
ASPOC: Active Spacecraft Potential Control
DSP
========================================================================== '''
from pyspedas.mms import mms_load_mec
# start by loading some ephemeris / coordinates data;
# the default trange is Oct 16, 2015, default probe is 1
# and the default data rate is 'srvy'
loaded_mec_vrs = mms_load_mec(probe=4)
# find info on a load routine
help(mms_load_mec)
from pyspedas.mms import mms_load_fgm
# note that the keywords are the same as in IDL
mms_load_fgm(probe='4',
data_rate='brst',
trange=['2015-10-16/13:06', '2015-10-16/13:07'],
time_clip=True)
# find which variables were loaded
from pytplot import tplot_names
tplot_names()