1.2k citations · 6.9k across the 73 of their papers we have counts for
79 papers
Data-based form factor corrections between the two-pion and spectral functions
Michel Davier, Bogdan Malaescu, Zhiqing Zhang
The spectral functions are an alternative to cross-sections, where different measurements are not consistent, for computing the hadronic vacuum contribution to the muo…
New BaBar studies of high-order radiation and the new landscape of data-driven HVP predictions of the muon g-2
Bogdan Malaescu
A measurement of additional radiation in and initial-state-radiation events is presented using the full data sample. For the fir…
Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods
Mathias Backes, Anja Butter, Monica Dunford +1
The unfolding of detector effects is a key aspect of comparing experimental data with theoretical predictions. In recent years, different Machine-Learning methods have been develop…
Hadronic vacuum polarization: comparing lattice QCD and data-driven results in systematically improvable ways
Michel Davier, Zoltan Fodor, Antoine Gerardin +7
The precision with which hadronic vacuum polarization (HVP) is obtained determines how accurately important observables, such as the muon anomalous magnetic moment, a_μ, or the low…
Uncertainty components in profile likelihood fits
Andrés Pinto, Zhibo Wu, Fabrice Balli +5
When a measurement of a physical quantity is reported, the total uncertainty is usually decomposed into statistical and systematic uncertainties. This decomposition is not only use…
The Euclidean Adler Function and its Interplay with and
M. Davier, D. Díaz-Calderón, B. Malaescu +3
Three different approaches to precisely describe the Adler function in the Euclidean regime at around are available: dispersion relations based on the hadronic…