Source code for sofia_redux.scan.coordinate_systems.projection.hammer_aitoff_projection

# Licensed under a 3-clause BSD style license - see LICENSE.rst

from astropy import units
import numpy as np

from sofia_redux.scan.coordinate_systems.coordinate_2d import Coordinate2D
from sofia_redux.scan.coordinate_systems.spherical_coordinates import \
    SphericalCoordinates
from sofia_redux.scan.coordinate_systems.projection.cylindrical_projection \
    import CylindricalProjection

__all__ = ['HammerAitoffProjection']


[docs] class HammerAitoffProjection(CylindricalProjection): def __init__(self): """ Initialize a Hammer-Aitoff projection. The Hammer-Aitoff projection is an equal-area cylindrical projection where the graticule takes the form of an ellipse, and is suitable for mapping on a small scale. It is a modified azimuthal projection where the central meridian is a straight line, half the length of the projected equator. """ super().__init__()
[docs] @classmethod def get_fits_id(cls): """ Return the FITS ID for the projection. Returns ------- str """ return "AIT"
[docs] @classmethod def get_full_name(cls): """ Return the full name of the projection. Returns ------- str """ return 'Hammer-Aitoff'
[docs] @classmethod def z2(cls, offset): """ Return the Z2 factor for an offset. The z2 parameter (z squared) is used when calculating the deprojection (inverse projection) and is given by: z2 = 1 - (x^2)/16 - (y^2)/4 Parameters ---------- offset : Coordinate2D Returns ------- z2 : units.Quantity The z2 factor in radian^2 units. """ x, y = cls.offset_to_xy_radians(offset) x, y = x.value, y.value z2 = 1 - ((x ** 2) / 16) - ((y ** 2) / 4) return z2 * units.Unit('radian2')
[docs] @classmethod def gamma(cls, theta, phi): """ Return the gamma factor. Gamma is used during the forward projection and is given by: gamma = sqrt(2 / (1 + cos(theta) + cos(phi/2))) Parameters ---------- theta : float or units.Quantity or numpy.ndarray phi : float or units.Quantity or numpy.ndarray Returns ------- float or numpy.ndarray """ phi, theta = cls.phi_theta_to_radians(phi, theta) g = np.sqrt(2 / (1 + (np.cos(theta) * np.cos(0.5 * phi)))).value return g
[docs] @classmethod def get_phi_theta(cls, offset, phi_theta=None): """ Return the phi (longitude) and theta (latitude) coordinates. The phi and theta coordinates refer to the inverse projection (deprojection) of projected offsets about the native pole. phi is the deprojected longitude, and theta is the deprojected latitude of the offsets. For the Hammer projection these are given as: phi = 2 * arctan(z * x, 2(2z^2 - 1)) theta = arcsin(z * y) where z = sqrt(1 - (0.25x)^2 - (0.5y)^2) Parameters ---------- offset : Coordinate2D phi_theta : SphericalCoordinates, optional An optional output coordinate system in which to place the results. Returns ------- phi_theta : SphericalCoordinates """ z2 = cls.z2(offset) z = np.sqrt(z2) if phi_theta is None: phi_theta = SphericalCoordinates(unit='degree') x, y = cls.offset_to_xy_radians(offset) x, y = x.value, y.value z, z2 = z.value, z2.value phi = 2 * np.arctan2(0.5 * z * x, (2 * z2) - 1) * units.Unit('radian') theta = cls.asin(y * z) # in radians phi_theta.set_native([phi, theta]) return phi_theta
[docs] @classmethod def get_offsets(cls, theta, phi, offsets=None): """ Get the offsets given theta and phi. Takes the theta (latitude) and phi (longitude) coordinates about the celestial pole and converts them to offsets from a reference position. For the Hammer projection, this is given by: dx = 2 * cos(theta) * sin(phi/2) * gamma dy = sin(theta) * gamma where gamma = sqrt(2) / sqrt(1 + cos(theta) * cos(phi/2)) Parameters ---------- theta : units.Quantity The theta angle. phi : units.Quantity The phi angle. offsets : Coordinate2D, optional An optional coordinate system in which to place the results. Returns ------- offsets : Coordinate2D """ if offsets is None: offsets = Coordinate2D(unit='degree') rad = units.Unit('radian') phi, theta = cls.phi_theta_to_radians(phi, theta) gamma = cls.gamma(theta, phi) x = 2 * gamma * np.cos(theta) * np.sin(0.5 * phi) * rad y = gamma * np.sin(theta) * rad offsets.set([x, y]) return offsets