"""
Miscellaneous utilities related to coordinates
"""
import numpy as np
import astropy.units as u
from astropy.coordinates import BaseCoordinateFrame, SkyCoord
from sunpy.coordinates import Heliocentric, HeliographicStonyhurst, get_body_heliographic_stonyhurst
from sunpy.sun import constants
__all__ = ['GreatArc', 'get_rectangle_coordinates', 'solar_angle_equivalency', 'get_limb_coordinates']
[docs]
class GreatArc:
"""
Calculate the properties of a great arc at user-specified points between a
start and end point on a sphere.
The coordinates of the great arc are returned with the observation time
and coordinate frame of the starting point of the arc.
Parameters
----------
start : `~astropy.coordinates.SkyCoord`
Start point.
end : `~astropy.coordinates.SkyCoord`
End point.
center : `~astropy.coordinates.SkyCoord`
Center of the sphere.
points : `None`, `int`, `numpy.ndarray`
Number of points along the great arc. If None, the arc is calculated
at 100 equally spaced points from start to end. If int, the arc is
calculated at "points" equally spaced points from start to end. If a
numpy.ndarray is passed, it must be one dimensional and have values
>=0 and <=1. The values in this array correspond to parameterized
locations along the great arc from zero, denoting the start of the arc,
to 1, denoting the end of the arc. Setting this keyword on initializing
a GreatArc object sets the locations of the default points along the
great arc.
Methods
-------
inner_angles : `~astropy.units.Quantity`
Angles of the points along the great arc from the start to end
coordinate.
distances : `~astropy.units.Quantity`
Distances of the points along the great arc from the start to end
coordinate. The units are defined as those returned after transforming
the coordinate system of the start coordinate into its Cartesian
equivalent.
coordinates : `~astropy.coordinates.SkyCoord`
Coordinates along the great arc in the coordinate frame of the
start point.
References
----------
https://en.wikipedia.org/wiki/Great-circle_distance#Vector_version
Example
-------
>>> import matplotlib.pyplot as plt
>>> from astropy.coordinates import SkyCoord
>>> import astropy.units as u
>>> from sunpy.coordinates.utils import GreatArc
>>> import sunpy.map
>>> from sunpy.data.sample import AIA_171_IMAGE # doctest: +REMOTE_DATA
>>> m = sunpy.map.Map(AIA_171_IMAGE) # doctest: +REMOTE_DATA +IGNORE_WARNINGS
>>> a = SkyCoord(600*u.arcsec, -600*u.arcsec, frame=m.coordinate_frame) # doctest: +REMOTE_DATA
>>> b = SkyCoord(-100*u.arcsec, 800*u.arcsec, frame=m.coordinate_frame) # doctest: +REMOTE_DATA
>>> great_arc = GreatArc(a, b) # doctest: +REMOTE_DATA
>>> ax = plt.subplot(projection=m) # doctest: +SKIP
>>> m.plot(axes=ax) # doctest: +SKIP
>>> ax.plot_coord(great_arc.coordinates(), color='c') # doctest: +SKIP
>>> plt.show() # doctest: +SKIP
"""
def __init__(self, start, end, center=None, points=None):
# Observer
self.observer = start.observer
# Coordinate frame of the starting point
self.start_frame = start.frame
# Observation time
self.obstime = start.obstime
# Start point of the great arc
self.start = start.transform_to(Heliocentric)
# End point of the great arc
self.end = end.transform_to(self.start_frame).transform_to(Heliocentric)
# Parameterized location of points between the start and the end of the
# great arc.
# Default parameterized points location.
self.default_points = np.linspace(0, 1, 100)
# If the user requests a different set of default parameterized points
# on initiation of the object, then these become the default. This
# allows the user to use the methods without having to specify their
# choice of points over and over again, while also allowing the
# flexibility in the methods to calculate other values.
self.default_points = self._points_handler(points)
# Units of the start point
self.distance_unit = self.start.cartesian.xyz.unit
# Set the center of the sphere
if center is None:
self.center = SkyCoord(0 * self.distance_unit,
0 * self.distance_unit,
0 * self.distance_unit,
obstime=self.obstime,
observer=self.observer,
frame=Heliocentric)
else:
self.center = center.transform_to(self.start_frame).transform_to(Heliocentric)
# Convert the start, end and center points to their Cartesian values
self.start_cartesian = self.start.cartesian.xyz.to(self.distance_unit).value
self.end_cartesian = self.end.cartesian.xyz.to(self.distance_unit).value
self.center_cartesian = self.center.cartesian.xyz.to(self.distance_unit).value
# Great arc properties calculation
# Vector from center to first point
self.v1 = self.start_cartesian - self.center_cartesian
# Distance of the first point from the center
self._r = np.linalg.norm(self.v1)
# Vector from center to second point
self.v2 = self.end_cartesian - self.center_cartesian
# The v3 vector lies in plane of v1 & v2 and is orthogonal to v1
self.v3 = np.cross(np.cross(self.v1, self.v2), self.v1)
self.v3 = self._r * self.v3 / np.linalg.norm(self.v3)
# Inner angle between v1 and v2 in radians
self.inner_angle = np.arctan2(np.linalg.norm(np.cross(self.v1, self.v2)),
np.dot(self.v1, self.v2)) * u.rad
# Radius of the sphere
self.radius = self._r * self.distance_unit
# Distance on the sphere between the start point and the end point.
self.distance = self.radius * self.inner_angle.value
def _points_handler(self, points):
"""
Interprets the points keyword.
"""
if points is None:
return self.default_points
elif isinstance(points, int):
return np.linspace(0, 1, points)
elif isinstance(points, np.ndarray):
if points.ndim > 1:
raise ValueError('One dimensional numpy ndarrays only.')
if np.any(points < 0) or np.any(points > 1):
raise ValueError('All value in points array must be strictly >=0 and <=1.')
return points
else:
raise ValueError('Incorrectly specified "points" keyword value.')
[docs]
def inner_angles(self, points=None):
"""
Calculates the inner angles for the parameterized points along the arc
and returns the value in radians, from the start coordinate to the
end.
Parameters
----------
points : `None`, `int`, `numpy.ndarray`
If None, use the default locations of parameterized points along the
arc. If int, the arc is calculated at "points" equally spaced
points from start to end. If a numpy.ndarray is passed, it must be
one dimensional and have values >=0 and <=1. The values in this
array correspond to parameterized locations along the great arc from
zero, denoting the start of the arc, to 1, denoting the end of the
arc.
Returns
-------
inner_angles : `~astropy.units.Quantity`
Angles of the points along the great arc from the start to
end coordinate.
"""
these_points = self._points_handler(points)
return these_points.reshape(len(these_points), 1)*self.inner_angle
[docs]
def distances(self, points=None):
"""
Calculates the distance from the start coordinate to the end
coordinate on the sphere for all the parameterized points.
Parameters
----------
points : `None`, `int`, `numpy.ndarray`
If None, use the default locations of parameterized points along the
arc. If int, the arc is calculated at "points" equally spaced
points from start to end. If a numpy.ndarray is passed, it must be
one dimensional and have values >=0 and <=1. The values in this
array correspond to parameterized locations along the great arc from
zero, denoting the start of the arc, to 1, denoting the end of the
arc.
Returns
-------
distances : `~astropy.units`
Distances of the points along the great arc from the start to end
coordinate. The units are defined as those returned after
transforming the coordinate system of the start coordinate into
its Cartesian equivalent.
"""
return self.radius * self.inner_angles(points=points).value
[docs]
def coordinates(self, points=None):
"""
Calculates the coordinates on the sphere from the start to the end
coordinate for all the parameterized points. Coordinates are
returned in the frame of the start coordinate.
Parameters
----------
points : `None`, `int`, `numpy.ndarray`
If None, use the default locations of parameterized points along the
arc. If int, the arc is calculated at "points" equally spaced
points from start to end. If a numpy.ndarray is passed, it must be
one dimensional and have values >=0 and <=1. The values in this
array correspond to parameterized locations along the great arc from
zero, denoting the start of the arc, to 1, denoting the end of the
arc.
Returns
-------
arc : `~astropy.coordinates.SkyCoord`
Coordinates along the great arc in the coordinate frame of the
start point.
"""
# Calculate the inner angles
these_inner_angles = self.inner_angles(points=points)
# Calculate the Cartesian locations from the first to second points
great_arc_points_cartesian = (self.v1[np.newaxis, :] * np.cos(these_inner_angles) +
self.v3[np.newaxis, :] * np.sin(these_inner_angles) +
self.center_cartesian) * self.distance_unit
# Return the coordinates of the great arc between the start and end
# points
return SkyCoord(great_arc_points_cartesian[:, 0],
great_arc_points_cartesian[:, 1],
great_arc_points_cartesian[:, 2],
obstime=self.obstime,
observer=self.observer,
frame=Heliocentric).transform_to(self.start_frame)
[docs]
@u.quantity_input
def get_rectangle_coordinates(bottom_left, *, top_right=None,
width: u.deg = None, height: u.deg = None):
"""
Specify a rectangular region of interest in longitude and latitude in a given coordinate frame.
Parameters
----------
bottom_left : `~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`
The bottom-left coordinate of the rectangle. Supports passing both the
bottom left and top right coordinates by passing with a shape of ``(2,)``.
top_right : `~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`
The top-right coordinate of the rectangle.
If in a different frame than ``bottom_left`` and all required metadata
for frame conversion is present, ``top_right`` will be transformed to
``bottom_left`` frame.
width : `~astropy.units.Quantity`
The width of the rectangle.
Must be omitted if the coordinates of both corners have been specified.
height : `~astropy.units.Quantity`
The height of the rectangle.
Must be omitted if the coordinates of both corners have been specified.
Returns
-------
`~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`
The bottom left coordinate of the rectangular region of interest.
`~astropy.coordinates.BaseCoordinateFrame` or `~astropy.coordinates.SkyCoord`
The top right coordinate of the rectangular region of interest.
Examples
--------
>>> import astropy.units as u
>>> from astropy.coordinates import SkyCoord
>>> from sunpy.coordinates.frames import HeliographicStonyhurst
>>> from sunpy.coordinates.utils import get_rectangle_coordinates
>>> # With bottom left as a SkyCoord, width and height
>>> bottom_left = SkyCoord(0 * u.arcsec, 0 * u.arcsec, frame='heliographic_stonyhurst')
>>> width = 10 * u.arcsec
>>> height = 10 * u.arcsec
>>> bottom_left, top_right = get_rectangle_coordinates(bottom_left, width=width, height=height)
>>> # With bottom left of shape (2,)
>>> bottom_left_vector = SkyCoord([0 * u.arcsec, 10 * u.arcsec], [0 * u.arcsec, 10 * u.arcsec], frame='heliographic_stonyhurst')
>>> bottom_left, top_right = get_rectangle_coordinates(bottom_left_vector)
>>> # With bottom left as a BaseCoordinateFrame instance, width and height
>>> bottom_left = HeliographicStonyhurst(0 * u.arcsec, 0 * u.arcsec)
>>> width = 10 * u.arcsec
>>> height = 10 * u.arcsec
>>> bottom_left, top_right = get_rectangle_coordinates(bottom_left, width=width, height=height)
Notes
-----
``width`` is always treated as an increase in longitude, but ``bottom_left`` may have a higher
value of longitude than ``top_right`` due to the wrapping of the longitude angle. Appropriate
care should be taken when using this function's output to define a range of longitudes.
``height`` is always treated as an increase in latitude, but this function does not enforce
that ``bottom_left`` has a lower value of latitude than ``top_right``, in case that orientation
is valid for the intended use.
"""
if not (hasattr(bottom_left, 'transform_to') and
hasattr(bottom_left, 'shape') and
hasattr(bottom_left, 'spherical')):
raise TypeError(
"Invalid input, bottom_left must be of type SkyCoord or BaseCoordinateFrame.")
if (top_right is not None and not (hasattr(top_right, 'transform_to') and
hasattr(top_right, 'shape') and
hasattr(top_right, 'spherical'))):
raise TypeError("Invalid input, top_right must be of type SkyCoord or BaseCoordinateFrame.")
if bottom_left.shape == (2,) and any(x is not None for x in (width, height, top_right)):
raise ValueError("Invalid input, if bottom_left.shape == (2,) "
"other parameters should not be passed.")
if all(x is not None for x in (width, height, top_right)):
raise ValueError("Invalid input, width, height and top_right "
"parameters should not be passed simultaneously.")
if top_right is None and bottom_left.shape != (2,) and (width is None or height is None):
raise ValueError("Invalid input, either bottom_left and top_right "
"or bottom_left and height and width should be provided.")
if width is not None:
if width < 0*u.deg:
raise ValueError("The specified width cannot be negative.")
if width > 360*u.deg:
raise ValueError("The specified width cannot be greater than 360 degrees.")
if height is not None:
if height < 0*u.deg:
raise ValueError("The specified height cannot be negative.")
if bottom_left.spherical.lat + height > 90*u.deg:
raise ValueError("The specified height exceeds the maximum latitude.")
if bottom_left.shape == (2,):
top_right = bottom_left[1]
bottom_left = bottom_left[0]
elif top_right is not None:
top_right = top_right.transform_to(bottom_left)
else:
# If bottom left is a ``SkyCoord``, top right is constructed
# as a SkyCoord using width and height. If bottom left is a
# ``frame``, the top right is typecasted to its respective
# frame. This is done to ensure that the output coordinates
# are of the same type.
top_right = SkyCoord(bottom_left.spherical.lon + width,
bottom_left.spherical.lat + height,
frame=bottom_left)
if isinstance(bottom_left, BaseCoordinateFrame):
top_right = top_right.frame
return bottom_left, top_right
[docs]
def solar_angle_equivalency(observer):
"""
Return the equivalency to convert between a physical distance on the Sun
and an angular separation as seen by a specified observer.
.. note::
This equivalency assumes that the physical distance is perpendicular to
the Sun-observer line. That is, the tangent of the angular separation
is equal to the ratio of the physical distance to the Sun-observer
distance. For large physical distances, a different assumption may be
more appropriate.
Parameters
----------
observer : `~astropy.coordinates.SkyCoord`
Observer location for which the equivalency is calculated.
Returns
-------
equiv : equivalency function that can be used as keyword ``equivalencies`` for astropy unit conversion.
Examples
--------
>>> import astropy.units as u
>>> from sunpy.coordinates import get_body_heliographic_stonyhurst
>>> earth_observer = get_body_heliographic_stonyhurst("earth", "2013-10-28")
>>> distance_in_km = 725*u.km
>>> distance_in_km.to(u.arcsec, equivalencies=solar_angle_equivalency(earth_observer))
INFO: Apparent body location accounts for 495.82 seconds of light travel time [sunpy.coordinates.ephemeris]
<Quantity 1.00603718 arcsec>
"""
if not isinstance(observer, SkyCoord | BaseCoordinateFrame):
raise TypeError(
"Invalid input, observer must be of type SkyCoord or BaseCoordinateFrame.")
if observer.obstime is None:
raise ValueError(
"Observer must have an observation time, `obstime`.")
obstime = observer.obstime
sun_coord = get_body_heliographic_stonyhurst("sun", time=obstime, observer=observer)
sun_observer_distance = sun_coord.separation_3d(observer).to_value(u.m)
equiv = [(u.radian,
u.meter,
lambda x: np.tan(x)*sun_observer_distance,
lambda x: np.arctan(x/sun_observer_distance))]
return equiv
[docs]
@u.quantity_input
def get_limb_coordinates(observer, rsun: u.m = constants.radius, resolution=1000):
"""
Get coordinates for the solar limb as viewed by a specified observer.
Parameters
----------
observer : `~astropy.coordinates.SkyCoord`
Observer coordinate.
rsun : `~astropy.units.Quantity`
Physical radius of the limb from Sun center. Defaults to the standard
photospheric radius.
resolution : int
Number of coordinates to return. The coordinates are equally spaced
around the limb as seen from the observer.
"""
observer = observer.transform_to(
HeliographicStonyhurst(obstime=observer.obstime))
dsun = observer.radius
if dsun <= rsun:
raise ValueError('Observer distance must be greater than rsun')
# Create the limb coordinate array using Heliocentric Radial
limb_radial_distance = np.sqrt(dsun**2 - rsun**2)
limb_hcr_rho = limb_radial_distance * rsun / dsun
limb_hcr_z = dsun - np.sqrt(limb_radial_distance**2 - limb_hcr_rho**2)
limb_hcr_psi = np.linspace(0, 2*np.pi, resolution+1)[:-1] << u.rad
limb = SkyCoord(limb_hcr_rho, limb_hcr_psi, limb_hcr_z,
representation_type='cylindrical',
frame='heliocentric',
observer=observer, obstime=observer.obstime)
return limb
