Coordinates in JAX
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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!
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