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Simon Perkins
ducc
Commits
3257c76d
Commit
3257c76d
authored
Jun 04, 2020
by
Martin Reinecke
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pyinterpol_ng/README.md
pyinterpol_ng/README.md
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python/demos/totalconvolve_demo.py
python/demos/totalconvolve_demo.py
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python/demos/totalconvolve_usage.py
python/demos/totalconvolve_usage.py
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pyinterpol_ng/README.md
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pyinterpol_ng
=============
Library for high-accuracy 4pi convolution on the sphere, which generates a
total convolution data cube from a set of sky and beam
`a_lm`
and computes
interpolated values for a given list of detector pointings.
Algorithmic details:
-
the code uses
`libsharp`
SHTs to compute the data cube
-
shared-memory parallelization is provided via standard C++ threads.
-
for interpolation, the algorithm and kernel described in
https://arxiv.org/abs/1808.06736 are used. This allows very efficient
interpolation with user-adjustable accuracy.
Installation and prerequisites:
-
execute
`python3 setup.py install --user`
. This requires the
`g++`
compiler.
If you want to compile with
`clang`
, use
`CC="clang -fsized-deallocation" python3 setup.py install --user`
-
`numpy`
and
`pybind11`
are required for the Python interface.
-
For tests and demos, the package
`pysharp`
(also available in this repository)
is required.
-
For the unit tests,
`pytest`
is required.
py
interpol_ng/
demo.py
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py
thon/demos/totalconvolve_
demo.py
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py
interpol_ng/
usage.py
→
py
thon/demos/totalconvolve_
usage.py
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3257c76d
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