| Commit message (Collapse) | Author | Age | Files | Lines |
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Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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Update to use the global CONFIGS and COSMO
Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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XXX: assumed to be independent of redshifts!
Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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* Update copyright
* Add a help on "DEBUG_FG21SIM"
* Also fix a bug in cosmology setup()
Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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Also write the writer and datetime to header by default.
Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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Signed-off-by: Aaron LI <aly@aaronly.me>
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Draw a circle at the center of the output grid with radial profile
Signed-off-by: Aaron LI <aly@aaronly.me>
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This reverts commit eb660ae70db40d36418f1e4eb886fd9bb02af1a7.
Numba cannot recognize AUC/AC classes, or needs further updates
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Also add configuration option "cosmology/Omegab0".
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* Fix the bug that "ellipse()" generate unexpected results.
* Update the parameters of "ellipse()" also
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This bug causes wrong ellipse generation, which is the main reason to
the strange and wrong SNRs shapes.
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md5(): Calculate the MD5 checksum of the file.
Credit: https://stackoverflow.com/a/3431838/4856091
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Since some modules (e.g., healpix.py) under "utils" involves Numba JIT
optimization, which significantly slows the start-up speed, even some
consumers (e.g., bin/fg21sim-webui) do not need them at all.
Fix various import statements of other modules.
NOTE: not test at the moment!
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Investigate whether the vectorization will improve the speed.
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Also update the docstring and one comment.
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* Fix the wrong output shape: wrongly swap the row and column
* Fix the area mapping method, which may give zero values when the index
of the input is integer, which cause problem to calculate the
overlapping areas.
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NOTE that the original optional paramter "rotation" is now required.
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Also remove the dependence on "scipy".
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The "rotate_center()" function rotates a gray-scale image by a given
angle about its center, using the area mapping method or simple nearest
neighbor.
This function is `numba` JIT-optimized, and can replace the
`scipy.ndimage.rotate()` function.
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NOTE: However, there are two significant problems:
* Cannot figure out why ``nb.optional(nb.types.UniTuple(nb.int64, 2))``
does NOT work. Therefore, make ``shape`` as mandatory parameter
instead of optional.
* Cannot figure out multi-dispatch that allows both int and float types
for ``r``, ``c``, ``r_radius`` and ``c_radius``. Thus only support
the int type for the moment.
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Remove the original "make_coordinate_grid()" function, and rename the
"make_coordinate_grid_fast()" to override the former one.
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Change the parameters of "make_coordinate_grid_fast()", make it share
the same parameter list as "make_coordinate_grid()".
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There are some limitations with the numba JIT, which are commented in
the code.
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Also fix a wrong notation in "random.py"
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To optimize "map_grid_to_healpix()" in `grid.py` which uses
"healpy.ang2pix()" using `numba.jit`, implement the latter's
functionality explicitly with `numba.jit` support.
The implementation simply mimic the corresponding functions
"ang2pix_ring_z_phi()" and "pix2ang_ring_z_phi()" in HEALPix's
"src/C/subs/chealpix.c". Thanks!
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Also place "_calc_hpx_row_idx()" before "_calc_hpx_indicies()", which is
required by `numba`.
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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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* Optimize the "Fnu_to_Tb()" and "Sb_to_Tb()" functions by explicitly
calculating the conversions, avoiding the slow `astropy.unit`
conversions (which is rather slow). The new fast functions are named
as "Fnu_to_Tb_fast()" and "Sb_to_Tb_fast()".
* Optimize the new functions using `numba.jit` further.
* Add `numba` to the dependencies.
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