def test_pad_electrons_srvy_probe(self):
mms_load_feeps(probe=4)
mms_feeps_pad(probe=4)
self.assertTrue(
data_exists(
'mms4_epd_feeps_srvy_l2_electron_intensity_70-600keV_pad_spin')
)
self.assertTrue(
data_exists(
'mms4_epd_feeps_srvy_l2_electron_intensity_70-600keV_pad'))
def test_pad_ions_srvy(self):
mms_load_feeps(probe=4,
data_rate='brst',
datatype='ion',
trange=['2015-10-01/10:48:16', '2015-10-01/10:49:16'])
mms_feeps_pad(probe=4,
data_rate='brst',
datatype='ion',
angles_from_bfield=True)
self.assertTrue(
data_exists('mms4_epd_feeps_brst_l2_ion_intensity_70-600keV_pad'))
self.assertTrue(
data_exists(
'mms4_epd_feeps_brst_l2_ion_intensity_70-600keV_pad_spin'))
'''
This crib sheet shows how to load and plot FEEPS data
'''
from pyspedas import mms_load_feeps, mms_feeps_pad
from pytplot import tplot
# load electron data
mms_load_feeps(trange=['2015-10-16', '2015-10-17'], datatype='electron')
# plot the omni-directional electron intensity
tplot([
'mms1_epd_feeps_srvy_l2_electron_intensity_omni',
'mms1_epd_feeps_srvy_l2_electron_intensity_omni_spin'
])
# calculate the pitch angle distribution
mms_feeps_pad()
# plot the PAD
tplot('mms1_epd_feeps_srvy_l2_electron_intensity_70-600keV_pad')