Source code for sunpy.map.sources.sdo

"""SDO Map subclass definitions"""

import numpy as np

import astropy.units as u
from astropy.coordinates import CartesianRepresentation, HeliocentricMeanEcliptic
from astropy.visualization import AsinhStretch
from astropy.visualization.mpl_normalize import ImageNormalize

from sunpy.map import GenericMap
from sunpy.map.sources.source_type import source_stretch

__all__ = ['AIAMap', 'HMIMap', 'HMISynopticMap']


[docs]class AIAMap(GenericMap): """AIA Image Map. The Atmospheric Imaging Assembly is a set of four telescopes that employ normal-incidence, multi-layer coated optics to provide narrow-band imaging of the Sun. It provides high resolution full-disk images of the corona and transition region up to 0.5 solar radii above the solar limb with 1.5 arcsecond angular resolution and 12-second temporal resolution. It observes the Sun in the following seven extreme ultraviolet bandpasses: 94 A (Fe XVIII), 131 A (Fe VIII, XXI), 171 A (Fe IX), 193 A (Fe XII, XXIV), 211 A (Fe XIV), 304 A (He II), 335 A (Fe XVI). One telescope observes in the visible 1600 A (C IV) and the nearby continuum (1700 A). Notes ----- Observer location: The standard AIA FITS header provides the spacecraft location in multiple coordinate systems, including Heliocentric Aries Ecliptic (HAE) and Heliographic Stonyhurst (HGS). SunPy uses the provided HAE coordinates due to accuracy concerns with the provided HGS coordinates, but other software packages may make different choices. References ---------- * `SDO Mission Page <https://sdo.gsfc.nasa.gov/>`_ * `Instrument Page <https://aia.lmsal.com>`_ * `Fits Header keywords <http://jsoc.stanford.edu/doc/keywords/AIA/AIA02840_A_AIA-SDO_FITS_Keyword_Documents.pdf>`_ * `Analysis Guide <https://www.lmsal.com/sdodocs/doc/dcur/SDOD0060.zip/zip/entry/>`_ * `Instrument Paper <https://doi.org/10.1007/s11207-011-9776-8>`_ * `wavelengths and temperature response reference <https://www.lmsal.com/sdodocs/doc/dcur/SDOD0060.zip/zip/entry/figures/aia_tel_resp.png>`_ """ def __init__(self, data, header, **kwargs): super().__init__(data, header, **kwargs) # Fill in some missing info self.meta['detector'] = self.meta.get('detector', "AIA") if 'bunit' not in self.meta and 'pixlunit' in self.meta: # PIXLUNIT is not a FITS standard keyword self.meta['bunit'] = self.meta['pixlunit'] self._nickname = self.detector self.plot_settings['cmap'] = self._get_cmap_name() self.plot_settings['norm'] = ImageNormalize( stretch=source_stretch(self.meta, AsinhStretch(0.01)), clip=False) # DN is not a FITS standard unit, so convert to counts if self.meta.get('bunit', None) == 'DN': self.meta['bunit'] = 'ct' if self.meta.get('bunit', None) == 'DN/s': self.meta['bunit'] = 'ct/s' @property def _supported_observer_coordinates(self): return [(('haex_obs', 'haey_obs', 'haez_obs'), {'x': self.meta.get('haex_obs'), 'y': self.meta.get('haey_obs'), 'z': self.meta.get('haez_obs'), 'unit': u.m, 'representation_type': CartesianRepresentation, 'frame': HeliocentricMeanEcliptic}) ] + super()._supported_observer_coordinates @property def observatory(self): """ Returns the observatory. """ return self.meta.get('telescop', '').split('/')[0]
[docs] @classmethod def is_datasource_for(cls, data, header, **kwargs): """Determines if header corresponds to an AIA image""" return str(header.get('instrume', '')).startswith('AIA')
[docs]class HMIMap(GenericMap): """HMI Image Map. HMI consists of a refracting telescope, a polarization selector, an image stabilization system, a narrow band tunable filter and two 4096 pixel CCD cameras. It observes the full solar disk in the Fe I absorption line at 6173 Angstrom with a resolution of 1 arc-second. HMI takes images in a sequence of tuning and polarizations at a 4-second cadence for each camera. One camera is dedicated to a 45 s Doppler and line-of-sight field sequence while the other to a 90 s vector field sequence. References ---------- * `SDO Mission Page <https://sdo.gsfc.nasa.gov/>`_ * `Instrument Page <http://hmi.stanford.edu>`_ * `Analysis Guide <http://hmi.stanford.edu/doc/magnetic/guide.pdf>`_ """ def __init__(self, data, header, **kwargs): super().__init__(data, header, **kwargs) self.meta['detector'] = self.meta.get('detector', "HMI") self._nickname = self.detector @property def measurement(self): """ Returns the measurement type. """ return self.meta.get('content', '').split(" ")[0].lower() @property def observatory(self): """ Returns the observatory. """ return self.meta.get('telescop', '').split('/')[0]
[docs] @classmethod def is_datasource_for(cls, data, header, **kwargs): """Determines if header corresponds to an HMI image""" return (str(header.get('TELESCOP', '')).endswith('HMI') and not HMISynopticMap.is_datasource_for(data, header))
[docs]class HMISynopticMap(HMIMap): def __init__(self, data, header, **kwargs): super().__init__(data, header, **kwargs) if self.meta['cunit1'] == 'Degree': self.meta['cunit1'] = 'degree' if self.meta['cunit2'] == 'Sine Latitude': self.meta['cunit2'] = 'degree' # Since, this map uses the cylindrical equal-area (CEA) projection, # the spacing should be modified to 180/pi times the original value # Reference: Section 5.5, Thompson 2006 self.meta['cdelt2'] = 180 / np.pi * self.meta['cdelt2'] self.meta['cdelt1'] = np.abs(self.meta['cdelt1'])
[docs] @classmethod def is_datasource_for(cls, data, header, **kwargs): """ Determines if header corresponds to an HMI synoptic map. """ return (str(header.get('TELESCOP', '')).endswith('HMI') and str(header.get('CONTENT', '')) == 'Carrington Synoptic Chart Of Br Field')