SLOP: A package for Semi-Leptonic Observable Predictions

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: David Vico Benet
DOI: 10.5281/zenodo.18222257
Cited by: 0

Abstract

SLOP (Semi-Leptonic Observable Predictions) is a python package for computation of semi-leptonic angular observables from varying Wilson coefficients and form factors. The implementation uses flavio and implements form factors from Hammer and EOS to generate predictions and errorbands for either built-in or user-defined form-factors at varying Wilson Coefficients.

Fields of Study & Subjects

Particle physics theoretical and experimental studies Quantum Chromodynamics and Particle Interactions Computational Physics and Python Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026