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authorAaron LI <aaronly.me@outlook.com>2017-02-12 23:24:23 +0800
committerAaron LI <aaronly.me@outlook.com>2017-02-12 23:24:23 +0800
commit179d9b1d00cdcd772da687f02f56bfd8bc52a1f6 (patch)
tree983331d045f34f730b938a0601a0dc55d35e6028 /sphere.py
parent62a69c7f0df94e5b013ee5883d85c16ca39ece85 (diff)
downloadcexcess-179d9b1d00cdcd772da687f02f56bfd8bc52a1f6.tar.bz2
Add sphere.py: calculate angle between points on the sphere
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+# Copyright (c) 2017 Aaron LI
+# MIT license
+
+"""
+Spherical utilities.
+"""
+
+import numpy as np
+
+
+def central_angle(p0, points):
+ """
+ Calculate the central angle(s) between the points ``p0`` with respect to
+ the other point(s) ``points`` on the sphere.
+
+ Parameters
+ ----------
+ p0 : 2-element float tuple/list
+ (longitude/R.A., latitude/Dec.) coordinate of the reference point.
+ (Unit: deg)
+ points : 2-element float tuple/list, or 2-column float `~numpy` array
+ Coordinates of the other point(s)
+ (Unit: deg)
+
+ Returns
+ -------
+ angle : float, or 1D float `~numpy` array
+ Calculated central angle(s) (Unit: deg)
+
+ Algorithm
+ ---------
+ (radial, azimuthal, polar): (r, θ, φ)
+ central_angle: α
+ longitude/R.A.: λ = θ
+ latitude/Dec.: δ = π/2 - φ
+
+ Unit vector:
+ r1_vec = (cos(θ1)*sin(φ1), sin(θ1)*sin(φ1), cos(φ1))
+ = (cos(λ1)*cos(δ1), sin(λ1)*cos(δ1), sin(δ1))
+ r2_vec = (cos(θ2)*sin(φ2), sin(θ2)*sin(φ2), cos(φ2))
+ = (cos(λ2)*cos(δ2), sin(λ2)*cos(δ2), sin(δ2))
+
+ Therefore the angle (α) between r1_vec and r2_vec:
+ cos(α) = r1_vec * r2_vec
+ = cos(δ1)*cos(δ2)*cos(λ1-λ2) + sin(δ1)*sin(δ2)
+
+ References
+ ----------
+ [1] Spherical Coordinates - Wolfram MathWorld
+ http://mathworld.wolfram.com/SphericalCoordinates.html
+ Eq.(19)
+ [2] Great Circle - Wolfram MathWorld
+ http://mathworld.wolfram.com/GreatCircle.html
+ Eqs.(1,2,4)
+ """
+ lon0, lat0 = np.deg2rad(p0)
+ points = np.deg2rad(points)
+ try:
+ lon, lat = points[:, 0], points[:, 1]
+ except IndexError:
+ lon, lat = points # single point
+ prod = (np.cos(lat0) * np.cos(lat) * np.cos(lon0-lon) +
+ np.sin(lat0) * np.sin(lat))
+ alpha = np.arccos(prod)
+ return np.rad2deg(alpha)