SJIMap

class irispy.sji.SJIMap(data, header, **kwargs)[source] [edit on github]

Bases: sunpy.map.mapbase.GenericMap

A 2D IRIS Slit Jaw Imager Map.

The Interface Region Imaging Spectrograph (IRIS) small explorer spacecraft provides simultaneous spectra and images of the photosphere, chromosphere, transition region, and corona with 0.33 to 0.4 arcsec spatial resolution, 2-second temporal resolution and 1 km/s velocity resolution over a field-of- view of up to 175 arcsec by 175 arcsec. IRIS consists of a 19-cm UV telescope that feeds a slit-based dual-bandpass imaging spectrograph.

Slit-jaw images in four different passbands (C ii 1330, Si iv 1400, Mg ii k 2796 and Mg ii wing 2830 A) can be taken simultaneously with spectral rasters that sample regions up to 130 arcsec by 175 arcsec at a variety of spatial samplings (from 0.33 arcsec and up). IRIS is sensitive to emission from plasma at temperatures between 5000 K and 10 MK.

IRIS was launched into a Sun-synchronous orbit on 27 June 2013.

References

Methods Summary

draw_slit([axes]) Draws the slit location over the SJI observation.
is_datasource_for(data, header, **kwargs) Determines if header corresponds to an IRIS SJI image

Methods Documentation

draw_slit(axes=None, **kwargs)[source] [edit on github]

Draws the slit location over the SJI observation.

Parameters:
  • axes (axes or None) –
  • to plot limb on or None to use current axes. (Axes) –
Returns:

lines – A list of matplotlib.axvline objects that have been plotted.

Return type:

list

Notes

keyword arguments are passed onto matplotlib.pyplot.plot

classmethod is_datasource_for(data, header, **kwargs)[source] [edit on github]

Determines if header corresponds to an IRIS SJI image