"""This module defines the important coordinate systems to be used in
reconstruction with the CTA pipeline and the transformations between
this different systems. Frames and transformations are defined using
the astropy.coordinates framework. This module defines transformations
for ground based cartesian and planar systems.
For examples on usage see examples/coordinate_transformations.py
This code is based on the coordinate transformations performed in the
read_hess code
TODO:
- Tests Tests Tests!
"""
import astropy.units as u
import numpy as np
from astropy.coordinates import (
ITRS,
AffineTransform,
AltAz,
BaseCoordinateFrame,
CartesianRepresentation,
CoordinateAttribute,
EarthLocationAttribute,
FunctionTransform,
RepresentationMapping,
frame_transform_graph,
)
from astropy.units.quantity import Quantity
__all__ = [
"GroundFrame",
"TiltedGroundFrame",
"project_to_ground",
"EastingNorthingFrame",
]
def _altaz_to_earthlocation(altaz):
local_itrs = altaz.transform_to(ITRS(location=altaz.location))
itrs = ITRS(local_itrs.cartesian + altaz.location.get_itrs().cartesian)
return itrs.earth_location
def _earthlocation_to_altaz(location, reference_location):
# See
# https://docs.astropy.org/en/stable/coordinates/common_errors.html#altaz-calculations-for-earth-based-objects
# for why this is necessary and we cannot just do
# `get_itrs().transform_to(AltAz())`
itrs_cart = location.get_itrs().cartesian
itrs_ref_cart = reference_location.get_itrs().cartesian
local_itrs = ITRS(itrs_cart - itrs_ref_cart, location=reference_location)
return local_itrs.transform_to(AltAz(location=reference_location))
[docs]class GroundFrame(BaseCoordinateFrame):
"""Ground coordinate frame. The ground coordinate frame is a simple
cartesian frame describing the 3 dimensional position of objects
compared to the array ground level in relation to the nomial
centre of the array. Typically this frame will be used for
describing the position on telescopes and equipment.
In this frame x points north, y points west and z is meters above array center.
Frame attributes: None
"""
default_representation = CartesianRepresentation
reference_location = EarthLocationAttribute()
[docs] def to_earth_location(self):
"""Convert this GroundFrame coordinate into an `astropy.coordinates.EarthLocation`
This requires that the ``reference_location`` is set.
"""
# in astropy, x points north, y points east, so we need a minus for y.
cart = CartesianRepresentation(self.x, -self.y, self.z)
altaz = AltAz(cart, location=self.reference_location)
return _altaz_to_earthlocation(altaz)
[docs] @classmethod
def from_earth_location(cls, location, reference_location):
"""
Convert `~astropy.coordinates.EarthLocation` into Groundframe.
Parameters
----------
location : astropy.coordinates.EarthLocation
The location to convert
reference_location : astropy.coordinates.EarthLocation
Reference location for the GroundFrame
Returns
-------
ground_frame : GroundFrame
EarthLocation converted to GroundFrame
"""
altaz = _earthlocation_to_altaz(location, reference_location)
x, y, z = altaz.cartesian.xyz
# in astropy, x points north, y points east, so we need a minus for y.
return GroundFrame(x=x, y=-y, z=z, reference_location=reference_location)
@property
def observation_level(self):
"""Height of the reference location"""
return self.reference_location.height
[docs]class EastingNorthingFrame(BaseCoordinateFrame):
"""GroundFrame but in standard Easting/Northing coordinates instead of
SimTel/Corsika conventions
Frame attributes: None
"""
default_representation = CartesianRepresentation
reference_location = EarthLocationAttribute()
frame_specific_representation_info = {
CartesianRepresentation: [
RepresentationMapping("x", "easting"),
RepresentationMapping("y", "northing"),
RepresentationMapping("z", "height"),
]
}
[docs] def to_earth_location(self):
# in astropy, x points north, y points east
cart = CartesianRepresentation(self.northing, self.easting, self.height)
altaz = AltAz(cart, location=self.reference_location)
return _altaz_to_earthlocation(altaz)
[docs] @classmethod
def from_earth_location(cls, location, reference_location):
altaz = _earthlocation_to_altaz(location, reference_location)
x, y, z = altaz.cartesian.xyz
# in astropy, x points north, y points east
return GroundFrame(
northing=x,
easting=y,
height=z,
reference_location=reference_location,
)
@property
def observation_level(self):
return self.reference_location.height
[docs]class TiltedGroundFrame(BaseCoordinateFrame):
"""Tilted ground coordinate frame. The tilted ground coordinate frame
is a cartesian system describing the 2 dimensional projected
positions of objects in a tilted plane described by
pointing_direction Typically this frame will be used for the
reconstruction of the shower core position
Frame attributes:
* ``pointing_direction``
Alt,Az direction of the tilted reference plane
"""
default_representation = CartesianRepresentation
# Pointing direction of the tilted system (alt,az),
# could be the telescope pointing direction or the reconstructed shower
# direction
pointing_direction = CoordinateAttribute(default=None, frame=AltAz)
def _get_shower_trans_matrix(azimuth, altitude, inverse=False):
"""Get Transformation matrix for conversion from the ground system to
the Tilted system and back again (This function is directly lifted
from read_hess, probably could be streamlined using python
functionality)
Parameters
----------
azimuth: float or ndarray
Azimuth angle in radians of the tilted system used
altitude: float or ndarray
Altitude angle in radiuan of the tilted system used
Returns
-------
trans: 3x3 ndarray transformation matrix
"""
cos_z = np.sin(altitude) # this is the same as np.cos(zenith) but faster
sin_z = np.cos(altitude)
cos_az = np.cos(azimuth)
sin_az = np.sin(azimuth)
trans = np.array(
[
[cos_z * cos_az, -cos_z * sin_az, -sin_z],
[sin_az, cos_az, np.zeros_like(sin_z)],
[sin_z * cos_az, -sin_z * sin_az, cos_z],
],
dtype=np.float64,
)
if inverse:
return np.swapaxes(trans, 0, 1)
return trans
def _get_xyz(coord):
"""
Essentially the same as coord.cartesian.xyz, but much faster by
avoiding some astropy bottlenecks.
"""
# this is a speed optimization. Much faster to use data if already a
# Cartesian object
if isinstance(coord.data, CartesianRepresentation):
cart = coord.data
else:
cart = coord.cartesian
# this is ~5x faster then cart.xyz
return u.Quantity([cart.x, cart.y, cart.z])
@frame_transform_graph.transform(FunctionTransform, GroundFrame, TiltedGroundFrame)
def ground_to_tilted(ground_coord, tilted_frame):
"""
Transformation from ground system to tilted ground system
Parameters
----------
ground_coord: `astropy.coordinates.SkyCoord`
Coordinate in GroundFrame
tilted_frame: `ctapipe.coordinates.TiltedFrame`
Frame to transform to
Returns
-------
SkyCoordinate transformed to `tilted_frame` coordinates
"""
xyz_grd = _get_xyz(ground_coord)
# convert to rad first and substract. Faster than .zen
altitude = tilted_frame.pointing_direction.alt.to_value(u.rad)
azimuth = tilted_frame.pointing_direction.az.to_value(u.rad)
rotation_matrix = _get_shower_trans_matrix(azimuth, altitude)
vec = np.einsum("ij...,j...->i...", rotation_matrix, xyz_grd)
representation = CartesianRepresentation(*vec)
return tilted_frame.realize_frame(representation)
@frame_transform_graph.transform(FunctionTransform, TiltedGroundFrame, GroundFrame)
def tilted_to_ground(tilted_coord, ground_frame):
"""
Transformation from tilted ground system to ground system
Parameters
----------
tilted_coord: `astropy.coordinates.SkyCoord`
TiltedGroundFrame system
ground_frame: `astropy.coordinates.SkyCoord`
GroundFrame system
Returns
-------
GroundFrame coordinates
"""
xyz_tilt = _get_xyz(tilted_coord)
altitude = tilted_coord.pointing_direction.alt.to_value(u.rad)
azimuth = tilted_coord.pointing_direction.az.to_value(u.rad)
rotation_matrix = _get_shower_trans_matrix(azimuth, altitude, inverse=True)
vec = np.einsum("ij...,j...->i...", rotation_matrix, xyz_tilt)
representation = CartesianRepresentation(*vec)
grd = ground_frame.realize_frame(representation)
return grd
[docs]def project_to_ground(tilt_system):
"""Project position in the tilted system onto the ground. This is
needed as the standard transformation will return the 3d position
of the tilted frame. This projection may ultimately be the
standard use case so may be implemented in the tilted to ground
transformation
Parameters
----------
tilt_system: `astropy.coordinates.SkyCoord`
coorinate in the the tilted ground system
Returns
-------
Projection of tilted system onto the ground (GroundSystem)
"""
ground_system = tilt_system.transform_to(GroundFrame)
unit = ground_system.x.unit
x_initial = ground_system.x.value
y_initial = ground_system.y.value
z_initial = ground_system.z.value
trans = _get_shower_trans_matrix(
tilt_system.pointing_direction.az.to_value(u.rad),
tilt_system.pointing_direction.alt.to_value(u.rad),
)
x_projected = x_initial - trans[2][0] * z_initial / trans[2][2]
y_projected = y_initial - trans[2][1] * z_initial / trans[2][2]
return GroundFrame(
x=u.Quantity(x_projected, unit),
y=u.Quantity(y_projected, unit),
z=u.Quantity(0, unit),
)
@frame_transform_graph.transform(FunctionTransform, GroundFrame, GroundFrame)
def ground_to_ground(ground_coords, ground_frame):
"""Null transform for going from ground to ground, since there are no
attributes of the GroundSystem"""
return ground_coords
# Matrices for transforming between GroundFrame and EastingNorthingFrame
NO_OFFSET = CartesianRepresentation(Quantity([0, 0, 0], u.m))
GROUND_TO_EASTNORTH = np.asarray([[0, -1, 0], [1, 0, 0], [0, 0, 1]])
@frame_transform_graph.transform(AffineTransform, GroundFrame, EastingNorthingFrame)
def ground_to_easting_northing(ground_coords, eastnorth_frame):
"""
convert GroundFrame points into eastings/northings for plotting purposes
"""
return GROUND_TO_EASTNORTH, NO_OFFSET
@frame_transform_graph.transform(AffineTransform, EastingNorthingFrame, GroundFrame)
def easting_northing_to_ground(eastnorth_coords, ground_frame):
"""
convert eastings/northings back to GroundFrame
"""
return GROUND_TO_EASTNORTH.T, NO_OFFSET