v1.2.0

What's Changed

✨ New features

• Performance improvements by @CosmoMatt in #200
• Custom HEALPix FFT primitive when running on GPU by @ASKabalan in #204
• Add stable high-spin transforms (precompute, standard) by @CosmoMatt in #230
• Add stable forward/inverse memory efficient Wigner transforms by @CosmoMatt in #238
• Add custom collective transforms by @CosmoMatt in #239
• Avoid loops in s2fft.sampling.reindex functions to reduce compile and run times by @matt-graham in #245
• Correct healpix_forward derivatives and add support for forward and higher order autodiff by @matt-graham in #244
• Improvements to benchmarking system by @matt-graham in #248
• Iterative refinement support for JAX and NumPy forward (spherical) transform implementations by @matt-graham in #241
• Vectorize signal generator functions by @matt-graham in #252

📖 Documentation improvements

• Feature/notebook plots by @CosmoMatt in #202
• Execute main spherical transform notebook by @jasonmcewen in #203
• Add low precision warning to docstring of inverse Wigner function by @ElisR in #220
• Update citation details in docs and add CITATION.cff file by @matt-graham in #236
• Indicate cubic memory overhead in generate_precomputes docstring by @matt-graham in #257

🐛 Bug fixes

• Fix pass through of arguments to generate_precomputes in NumPy forward spherical transform by @matt-graham in #256
• Fix failing test_transform_forward_healpix_iter test by @matt-graham in #258

🛠 Other changes

• Switching to pyproject.toml for specifying package metadata by @matt-graham in #173
• Updates to custom CUDA HEALPix FFT primitive by @matt-graham in #231

New Contributors

• @ElisR made their first contribution in #220
• @ASKabalan made their first contribution in #204

Full Changelog: v1.1.0...v1.2.0