polar.rst

Polar

The routines in this module can be used to load data from the Polar mission.

Magnetic Field Experiment (MFE)

pyspedas.polar.mfe

Example

import pyspedas
from pytplot import tplot
mfe_vars = pyspedas.polar.mfe(trange=['2003-10-28', '2003-10-29'])
tplot(['B_GSE', 'B_GSM'])

Electric Fields Instrument (EFI)

pyspedas.polar.efi

Example

import pyspedas
from pytplot import tplot
efi_vars = pyspedas.polar.efi(trange=['2003-10-28', '2003-10-29'])
tplot(['ESPIN', 'EXY12G', 'EZ12G'])

Plasma Wave Instrument (PWI)

pyspedas.polar.pwi

Example

import pyspedas
from pytplot import tplot
pwi_vars = pyspedas.polar.pwi()
tplot(['Fce', 'Fcp', 'FcO'])

Hot Plasma Analyzer Experiment (HYDRA)

pyspedas.polar.hydra

Example

import pyspedas
from pytplot import tplot
hydra_vars = pyspedas.polar.hydra(trange=['2003-10-28', '2003-10-29'])
tplot('ELE_DENSITY')

Thermal Ion Dynamics Experiment (TIDE)

pyspedas.polar.tide

Example

import pyspedas
from pytplot import tplot
tide_vars = pyspedas.polar.tide()
tplot(['total_den', 'total_v', 'total_t'])

Toroidal Imaging Mass Angle Spectrograph (TIMAS)

pyspedas.polar.timas

Example

import pyspedas
from pytplot import tplot
timas_vars = pyspedas.polar.timas(trange=['1997-01-03/6:00', '1997-01-03/7:00'], time_clip=True)
tplot(['Density_H', 'Density_O'])

Charge and Mass Magnetospheric Ion Composition Experiment (CAMMICE) ----------------------------------------------------------.. autofunction:: pyspedas.polar.cammice

Example

import pyspedas
from pytplot import tplot
cammice_vars = pyspedas.polar.cammice(trange=['2003-10-28', '2003-10-29'])
tplot('Protons')

Comprehensive Energetic Particle-Pitch Angle Distribution (CEPPAD) ----------------------------------------------------------.. autofunction:: pyspedas.polar.ceppad

Example

import pyspedas
from pytplot import tplot
cep_vars = pyspedas.polar.ceppad(trange=['2003-10-28', '2003-10-29'])
tplot(['IPS_10_ERR', 'IPS_30_ERR', 'IPS_50_ERR'])

Orbit data

pyspedas.polar.orbit

Example

import pyspedas
from pytplot import tplot
orb_vars = pyspedas.polar.orbit(trange=['2003-10-28', '2003-10-29'])
tplot(['SPIN_PHASE', 'AVG_SPIN_RATE'])