caput.astro.coordinates.spherical

Spherical coordinate transformations and projections.

Functions

cart_to_sph(→ numpy.ndarray[numpy.floating])	Convert a vector of Cartesian coordinates into spherical polar coordinates.
cosine_rule(→ numpy.ndarray[numpy.float64])	Calculate the distances between a grid of points.
great_circle_points(→ numpy.ndarray[numpy.floating])	Compute intermediate points on the great circle between endpoints..
ground_to_sph(x, y, lat)	Compute CIRS coordinates from ground-fixed coordinates.
norm_vec2(→ None)	For an array of 2D vectors, normalise each to unit length in-place.
projected_distance(ha, lat, dec, x, y[, z])	Compute distance projected in the direction of a source.
rotate_ypr(rot, xhat, yhat, zhat)	Rotate a basis by a yaw, pitch and roll.
sph_dot(→ numpy.ndarray[numpy.floating])	Take the scalar product in spherical polar coordinates.
sph_to_cart(→ numpy.ndarray[numpy.float64])	Convert a vector in spherical polar coordinates to Cartesian coordinates.
sph_to_ground(ha, lat, dec)	Get the ground based XYZ coordinates.
sphdist(long1, lat1, long2, lat2)	Return the angular distance between two coordinates on the sphere.
thetaphi_plane(→ tuple[numpy.ndarray[numpy.floating], ...)	Compute unit vectors from spherical polar coordinate positions.
thetaphi_plane_cart(→ numpy.ndarray[numpy.float64])	Convert unit vectors in spherical polar coordinates to Cartesian coordinates.