Features:
- blazingly fast.
- both scalar and vector transforms.
- backward and forward (synthesis and analysis) functions.
- flexible truncation (degree, order, azimuthal periodicity).
- spatial data can be stored in latitude-major or longitude-major arrays.
- various conventions (normalization and Condon-Shortley phase).
- can be used from Fortran, c/c++, and Python programs.
- highly efficient Gauss algorithm working with Gauss nodes (based on Gauss-Legendre quadrature).
- support for SSE2, SSE3, AVX, AVX2 vectorization, as well as Xeon Phi and Blue Gene/Q.
- parallel transforms with OpenMP.
- synthesis (inverse transform) at any coordinate (not constrained to a grid).
- on-the-fly transforms : saving memory and bandwidth, they are even faster on modern architectures.
- accurate up to spherical harmonic degree l=16383 (at least).
- rotation functions to rotate spherical harmonics.
- special spectral operator functions that do not require a transform (multiply by cos(theta)...).
- scalar transforms and rotations for complex spatial fields.
- SHT at fixed m (without fft, aka Legendre transform - beta).
make docs
to generate documentation
(requires doxygen).
Then browse the html documentation starting with doc/html/index.html
https://bitbucket.org/nschaeff/shtns
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