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Federico De Vito Halevy

Publications and source records attributed to Federico De Vito Halevy.

2 recordsLinked to original sources

$b\to cτ\barν_{e,μ}$ contributions to $R(D^{(*)})$

The $R(D^{(*)})$ puzzle stands for a $\sim3σ$ violation of lepton flavor universality between the decay rates of $B\to D^{(*)}τν$ and $B\to D^{(*)}\ellν$, where $\ell=e,μ$. If it is accounted for by new physics, there is no reason in general that the relevant neutrinos are, respectively, $ν_τ$ and $ν_\ell$. We study whether the $τ$ related rate could be enhanced by significant contributions to $B\to D^{(*)}τν_\ell$ from a class of operators in the Standard Model Effective Field Theory (SMEFT). We find the upper bounds from forbidden or rare meson decays imply that the contributions from the lepton flavor violating processes account for no more than about $4\%$ of the required shift. Yet, no fine-tuned flavor alignment is required for the new physics. Searching for the related high-$p_T$ process $pp\toτ^\pmμ^\mp$ can at present put a lower bound on the scale of the lepton flavor violating new physics that is a factor of $2.2$ weaker than the bound from meson decays. An exception to our conclusion arises from a specific combination of scalar and tensor SMEFT operators.

hep-ph↗

A Data-Directed Paradigm for BSM searches: the bump-hunting example

We propose a data-directed paradigm (DDP) to search for new physics. Focusing on the data without using simulations, exclusive selections which exhibit significant deviations from known properties of the standard model can be identified efficiently and marked for further study. Different properties can be exploited with the DDP. Here, the paradigm is demonstrated by combining the promising potential of neural networks (NN) with the common bump-hunting approach. Using the NN, the resource-consuming tasks of background and systematic uncertainty estimation are avoided, allowing rapid testing of many final states with only a minor degradation in the sensitivity to bumps relative to standard analysis methods.

hep-ex↗