RPWSpectrogram#

class radiospectra.spectrogram.RPWSpectrogram(data, meta, **kwargs)[source]#

Bases: GenericSpectrogram

Solar Orbiter Radio and Plasma Waves (RPW) spectrogram.

For more information on the instrument see https://rpw-datacenter.obspm.fr.

Examples for accessing Level 2 HFR and Level 3 TNR/HFR (calibrated) data products.

HFR Level 2 Example:

>>> import sunpy_soar
>>> from sunpy.net import Fido, attrs as a
>>> from radiospectra.spectrogram import Spectrogram
>>> query = Fido.search(a.Time('2020-07-11', '2020-07-11 23:59'), a.Instrument('RPW'),
...             a.Level(2), a.soar.Product('RPW-HFR-SURV'))
>>> downloaded = Fido.fetch(query[0])
>>> spec = Spectrogram(downloaded[0])
>>> spec
[<RPWSpectrogram SOLO, RPW, RPW-AGC1 375.0 kHz - 16375.0 kHz, 2020-07-11T00:00:39.352 to 2020-07-12T00:00:55.715>, <RPWSpectrogram SOLO, RPW, RPW-AGC2 375.0 kHz - 16375.0 kHz, 2020-07-11T00:00:39.352 to 2020-07-12T00:00:55.715>]
>>> spec[0] .plot()
<matplotlib.collections.QuadMesh object at ...>

TNR Level 3 Example:

>>> import sunpy_soar
>>> from sunpy.net import Fido, attrs as a
>>> from radiospectra.spectrogram import Spectrogram
>>> query = Fido.search(a.Time('2024/03/23 00:00', '2024/03/23 23:59'),
...                     a.Instrument.rpw, a.Level(3), a.Provider.soar)
>>> downloaded = Fido.fetch(query[0][query[0]["Data product"]=='rpw-tnr-surv-flux'][0])
>>> spec = Spectrogram(downloaded[0])
>>> spec
<RPWSpectrogram SOLO, RPW, RPW-TNR 3.992000102996826 kHz - 978.572021484375 kHz, 2024-03-23T00:04:32.873 to 2024-03-24T00:04:46.381>
>>> spec.plot()
<matplotlib.collections.QuadMesh object at ...>

HFR Level 3 Example:

>>> import sunpy_soar
>>> from sunpy.net import Fido, attrs as a
>>> from radiospectra.spectrogram import Spectrogram
>>> query = Fido.search(a.Time('2024/03/23 00:00', '2024/03/23 23:59'),
...                     a.Instrument.rpw, a.Level(3), a.Provider.soar)
>>> downloaded = Fido.fetch(query[0][query[0]["Data product"]=='rpw-hfr-surv-flux'][0])
>>> spec = Spectrogram(downloaded[0])
>>> spec
<RPWSpectrogram SOLO, RPW, RPW-HFR 425.0000305175781 kHz - 16325.0009765625 kHz, 2024-03-23T00:04:14.063 to 2024-03-24T00:04:07.571>
>>> spec.plot()
<matplotlib.collections.QuadMesh object at ...>

Attributes Summary

`detector`	The detector which recorded the spectrogram.
`end_time`	The end time of the spectrogram.
`frequencies`	The frequencies of the spectrogram.
`instrument`	The name of the instrument which recorded the spectrogram.
`observatory`	The name of the observatory which recorded the spectrogram.
`start_time`	The start time of the spectrogram.
`times`	The times of the spectrogram.
`wavelength`	The wavelength range of the spectrogram.

Methods Summary

`is_datasource_for`(data, meta, **kwargs)
`plot`([axes])	Plot the spectrogram.
`plotim`([fig, axes])

Attributes Documentation

detector#: The detector which recorded the spectrogram.

end_time#: The end time of the spectrogram.

frequencies#: The frequencies of the spectrogram.

instrument#: The name of the instrument which recorded the spectrogram.

observatory#: The name of the observatory which recorded the spectrogram.

start_time#: The start time of the spectrogram.

times#: The times of the spectrogram.

wavelength#: The wavelength range of the spectrogram.

Methods Documentation

classmethod is_datasource_for(data, meta, **kwargs)[source]#

plot(axes=None, **kwargs)#

Plot the spectrogram.

Parameters:

axes (matplotlib.axes.Axes, optional) – The axes where the plot will be added.
kwargs – Arguments pass to the plot call pcolormesh.

Return type:

matplotlib.collections.QuadMesh

plotim(fig=None, axes=None, **kwargs)#