Neural refinement of Monte Carlo sample weights via phase-space scaling and a new resampling protocol that maintains averages and uncertainties.
Ninja: Automated Integrand Reduction via Laurent Expansion for One-Loop Amplitudes
4 Pith papers cite this work, alongside 175 external citations. Polarity classification is still indexing.
4
Pith papers citing it
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abstract
We present the public C++ library Ninja, which implements the Integrand Reduction via Laurent Expansion method for the computation of one-loop integrals. The algorithm is suited for applications to complex one-loop processes.
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