DOI: 10.1140/epjc/s10052-026-15908-5 ISSN: 1434-6052

Joint LHCb–Belle II prospects to constrain new physics in $$B\rightarrow D^{(*)}\tau \nu $$

Johannes Albrecht, Florian Bernlochner, Marco Colonna, Lorenz Gärtner, Abhijit Mathad, Biljana Mitreska, Markus Prim, Ilias Tsaklidis

Abstract

Semileptonic

$$b\rightarrow c\tau \bar{\nu }_{\tau }$$ b c τ ν ¯ τ
decays are powerful probes of non-Standard-Model effects within an effective-field-theory (EFT) framework, but fully exploiting them in current and future data demands combinations that maximise sensitivity while controlling biases from Standard-Model-based modelling and from theory inputs that are shared, and therefore correlated, across analyses in different experiments. We present a first sensitivity study of a combined extraction of Wilson coefficients in
$$\bar{B}\rightarrow D^{(*)}\tau \bar{\nu }_{\tau }$$ B ¯ D ( ) τ ν ¯ τ
decays using LHCb- and Belle II-like analysis configurations. Detector simulations for signal and backgrounds are typically generated under Standard Model assumptions; if non-SM contributions are present, this can bias the fitted Wilson coefficients. In addition, hadronic inputs such as form-factor parameters of signal and background components are common across analyses, requiring a consistent treatment of fully correlated effects in combinations. To avoid repeating large-scale detector simulation for each EFT hypothesis, we use event-by-event reweighting to map simulated samples to arbitrary combinations of Wilson coefficients. We then compare a simultaneous fit across multiple
$$\bar{B}\rightarrow D^{(*)}\tau \bar{\nu }_{\tau }$$ B ¯ D ( ) τ ν ¯ τ
channels and datasets with a combination based on post-fit averages. Sharing Wilson coefficients and common form-factor parameters in the simultaneous fit reduces model-induced biases and improves sensitivity relative to independent fits, providing a robust and scalable strategy for precision EFT constraints in
$$b\rightarrow c\tau \bar{\nu }_{\tau }$$ b c τ ν ¯ τ
transitions using forthcoming LHCb and Belle II datasets.

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