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v1.0.0: Thus Spoke Compute

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@ValentinHirschi ValentinHirschi released this 04 Oct 08:41
v1.0.0
661ff3d

pyAmpliCol 1.0.0 is the software release accompanying the official arXiv publication, “pyAmpliCol: fast tree-level matrix elements”.

This release consolidates the physics capabilities, performance improvements and interfaces presented in the paper, and is the version to use alongside its documented workflows and validation results.

Highlights

  • Adaptive exact-colour FFTs. Recurrence and on-the-fly generation automatically select suitable exact colour representations, including reduced adjoint bases for eligible pure-gluon and HEFT processes. Trace FFT and direct contraction remain available.
  • Colour- and spin-correlated Born quantities. Opt-in correlations, batched requests and generic tree-level colour-connection catalogues are available through Python and the C, C++, Fortran and Rust interfaces. Native evaluation uses binary64; Python also supports double-double and arbitrary precision.
  • Faster, reusable execution. Improved recurrence batching, runtime helicity and colour selection, HEFT-current optimizations, and persistent on-the-fly caches with save/restore support.
  • Precision and model correctness. Exact model constants, colour weights and normalization factors are preserved for higher-precision evaluation. The bundled Standard Model and HEFT assets have been refreshed for Symbolica 3.
  • Published upstream dependencies. Symbolica 3.0.0, SymJIT 2.26.4, and ufo-model-loader 1.0.0, with no local dependency source patches.

Installation and validation

python -m pip install pyamplicol==1.0.0

The release provides a source distribution and three cp311-abi3 wheels: Linux x86-64 (manylinux 2.28), macOS Intel, and macOS Apple silicon (macOS 11 or newer). Wheels include the Rust runtime and native SDK; a Rust compiler is not needed to install a wheel.

The validated release workflow passed installed-wheel and native SDK checks, CPython 3.11 and 3.14 deployment tests, and an independent Fortran physics comparison. Cross-platform prepared-model transfer also passed on all three targets. Publication uses these exact validated artifacts without rebuilding.

Documentation · PyPI · Changes since v0.2.0

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