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Description:

coordinax 0.9.4

coordinax
Coordinates in JAX
Coordinax enables calculations with coordinates in
JAX. Built on
Equinox and
Quax.
Installation

pip install coordinax

Documentation

Coming soon. In the meantime, if you've used astropy.coordinates, then
coordinax should be fairly intuitive.
Quick example
import coordinax as cx
import jax.numpy as jnp
from unxt import Quantity

q = cx.CartesianPosition3D(
x=Quantity(jnp.arange(0, 10.0), "km"),
y=Quantity(jnp.arange(5, 15.0), "km"),
z=Quantity(jnp.arange(10, 20.0), "km"),
)
print(q)
# <CartesianPosition3D (x[km], y[km], z[km])
# [[ 0. 5. 10.]
# [ 1. 6. 11.]
# ...
# [ 8. 13. 18.]
# [ 9. 14. 19.]]>

q2 = cx.represent_as(q, cx.SphericalPosition)
print(q2)
# <SphericalPosition (r[km], theta[rad], phi[rad])
# [[11.18 0.464 1.571]
# [12.57 0.505 1.406]
# ...
# [23.601 0.703 1.019]
# [25.259 0.719 0.999]]>

p = cx.CartesianVelocity3D(
d_x=Quantity(jnp.arange(0, 10.0), "m/s"),
d_y=Quantity(jnp.arange(5, 15.0), "m/s"),
d_z=Quantity(jnp.arange(10, 20.0), "m/s"),
)
print(p)
# <CartesianVelocity3D (d_x[m / s], d_y[m / s], d_z[m / s])
# [[ 0. 5. 10.]
# [ 1. 6. 11.]
# ...
# [ 8. 13. 18.]
# [ 9. 14. 19.]]>

p2 = cx.represent_as(p, cx.SphericalVelocity, q)
print(p2)
# <SphericalVelocity (d_r[m / s], d_theta[m rad / (km s)], d_phi[m rad / (km s)])
# [[ 1.118e+01 -3.886e-16 0.000e+00]
# [ 1.257e+01 -1.110e-16 0.000e+00]
# ...
# [ 2.360e+01 0.000e+00 0.000e+00]
# [ 2.526e+01 -2.776e-16 0.000e+00]]>

Citation

If you found this library to be useful in academic work, then please cite.
Development

We welcome contributions!