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Description:
ampform 0.15.4
AmpForm
AmpForm is a Python library of spin formalisms and dynamics with which you can
automatically formulate symbolic amplitude models for Partial Wave Analysis. The
resulting amplitude models are formulated with
SymPy (a Computer Algebra System). This not only
makes it easy to inspect and visualize the resulting amplitude models, but also means
the amplitude models can be used as templates for faster computational back-ends (see
TensorWaves)!
Visit ampform.rtfd.io for several usage examples. For
an overview of upcoming releases and planned functionality, see
here.
Available features
Automatic amplitude model building Convert state transition graphs from
QRules to an amplitude model that is
mathematically expressed with SymPy and can be converted
to any backend (see TensorWaves).
Spin formalisms
Helicity formalism
Canonical formalism
Spin alignment
for generic, multi-body decays that feature different decay topologies
Dynamics
Relativistic Breit-Wigner,
optionally with form factors and/or
energy-dependent width
Symbolic K-matrix
for an arbitrary number of poles and channels
Symbolic P-vector
for an arbitrary number of poles and channels
Contribute
See CONTRIBUTING.md
License:
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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