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There are some limitations with the numba JIT, which are commented in
the code.
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Optimize "make_coordinate_grid()" using "numba.jit", which improves the
speed a bit, since the other two functions (i.e., "make_grid_ellipse()",
and "map_grid_to_healpix()") are much slow and time-consuming.
TODO: optimize "make_grid_ellipse()" and "map_grid_to_healpix()"
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The necessary but missing functionalities to simulate the Galactic SNRs
emission maps are implemented, and this new emission component is ready
for testing.
Also fix a typo in "utils/grid.py".
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The "map_grid_to_healpix()" maps the generated coordinate grid to a
HEALPix map. Note that only effective HEALPix pixels are returned
instead of a full HEALPix map.
TODO: Try to avoid the explicit for loop to optimize the speed.
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* make_coordinate_grid(): Make a Cartesian coordinate grid according to
the specified center coordinate, size and grid resolution.
* make_grid_ellipse(): Also generate an (rotated) ellipse and place into
the coordinate grid.
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