Two Wide-Angle Imaging Neutral-Atom Spectrometers (TWINS) Mission
The routines in this module can be used to load data from the Two Wide-Angle Imaging Neutral-Atom Spectrometers (TWINS) Mission mission.
Energetic Neutral Atom (ENA) imager
- pyspedas.twins.imager(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)
This function loads TWINS imager data
- Parameters
trange (
list
ofstr
) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]datatype (
str
) – Data type; Valid options:suffix (
str
) – The tplot variable names will be given this suffix. By default, no suffix is added.get_support_data (
bool
) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.varformat (
str
) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.varnames (
list
ofstr
) – List of variable names to load (if not specified, all data variables are loaded)downloadonly (
bool
) – Set this flag to download the CDF files, but not load them into tplot variablesnotplot (
bool
) – Return the data in hash tables instead of creating tplot variablesno_update (
bool
) – If set, only load data from your local cachetime_clip (
bool
) – Time clip the variables to exactly the range specified in the trange keyword
- Return type
List
oftplot variables created.
Lyman-alpha Detector (LAD)
- pyspedas.twins.lad(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)
This function loads data from the LAD instrument
- Parameters
trange (
list
ofstr
) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]datatype (
str
) – Data type; Valid options:suffix (
str
) – The tplot variable names will be given this suffix. By default, no suffix is added.get_support_data (
bool
) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.varformat (
str
) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.varnames (
list
ofstr
) – List of variable names to load (if not specified, all data variables are loaded)downloadonly (
bool
) – Set this flag to download the CDF files, but not load them into tplot variablesnotplot (
bool
) – Return the data in hash tables instead of creating tplot variablesno_update (
bool
) – If set, only load data from your local cachetime_clip (
bool
) – Time clip the variables to exactly the range specified in the trange keyword
- Return type
List
oftplot variables created.
Example
import pyspedas
from pytplot import tplot
lad_vars = pyspedas.twins.lad(trange=['2018-11-5/6:00', '2018-11-5/6:20'], time_clip=True)
tplot(['lad1_data', 'lad2_data'])
Ephemeris
- pyspedas.twins.ephemeris(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='or', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)
This function loads TWINS ephemeris data
- Parameters
trange (
list
ofstr
) – time range of interest [starttime, endtime] with the format ‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]datatype (
str
) – Data type; Valid options:suffix (
str
) – The tplot variable names will be given this suffix. By default, no suffix is added.get_support_data (
bool
) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.varformat (
str
) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.varnames (
list
ofstr
) – List of variable names to load (if not specified, all data variables are loaded)downloadonly (
bool
) – Set this flag to download the CDF files, but not load them into tplot variablesnotplot (
bool
) – Return the data in hash tables instead of creating tplot variablesno_update (
bool
) – If set, only load data from your local cachetime_clip (
bool
) – Time clip the variables to exactly the range specified in the trange keyword
- Return type
List
oftplot variables created.
Example
import pyspedas
from pytplot import tplot
ephem_vars = pyspedas.twins.ephemeris(trange=['2018-11-5', '2018-11-6'])
tplot('FSCGSM')