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Das ist der HAMMER: Consistent new physics interpretations of semileptonic decays

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arxiv 2002.00020 v2 pith:MSCWSCXE submitted 2020-01-31 hep-ph hep-ex

Das ist der HAMMER: Consistent new physics interpretations of semileptonic decays

classification hep-ph hep-ex
keywords hammermeasurementsphysicsbiasescoefficientsdecaysdemonstrateinterpretations
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Precise measurements of $b\to c\tau\bar\nu$ decays require large resource-intensive Monte Carlo (MC) samples, which incorporate detailed simulations of detector responses and physics backgrounds. Extracted parameters may be highly sensitive to the underlying theoretical models used in the MC generation. Because new physics (NP) can alter decay distributions and acceptances, the standard practice of fitting NP Wilson coefficients to SM-based measurements of the $R(D^{(*)})$ ratios can be biased. The newly developed HAMMER software tool enables efficient reweighting of MC samples to arbitrary NP scenarios or to any hadronic matrix elements. We demonstrate how HAMMER allows avoidance of biases through self-consistent fits directly to the NP Wilson coefficients. We also present example analyses that demonstrate the sizeable biases that can otherwise occur from naive NP interpretations of SM-based measurements. The HAMMER library is presently interfaced with several existing experimental analysis frameworks and we provide an overview of its structure.

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Cited by 3 Pith papers

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  2. Lifting Effective-Field-Theory Degeneracies in Semileptonic Heavy-Baryon Decays

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    Tau polarization in baryonic semileptonic decays supplies the leading sensitivity to lift EFT degeneracies unresolved by meson measurements in b to c tau nu transitions.

  3. An introduction to Hammer v2: Helicity Amplitude Module for Matrix Element Reweighting

    hep-ph 2026-07 unverdicted novelty 4.0

    Hammer v2 updates the helicity amplitude reweighting library with near-linear scaling for high-dimensional tensor operations in BSM and form-factor spaces plus improved Python bindings.