Model-independent extrapolation of MUonE data with Padé and D-Log approximants
arXiv:2405.13638 · doi:10.1103/PhysRevD.110.074012
Abstract
The MUonE experiment is designed to extract the hadronic contribution to the electromagnetic coupling in the space-like region, , from elastic scattering. The leading order hadronic vacuum polarization contribution to the muon , , can then be obtained from a weighted integral over . This, however, requires knowledge of in the whole domain of integration, which cannot be achieved by experiment. In this work, we propose to use Padé and D-Log Padé approximants as a systematic and model-independent method to fit and reliably extrapolate the future MUonE experimental data, extracting with a conservative but competitive uncertainty, using no, or very limited, external information. The method relies on fundamental analytic properties of the two-point correlator underlying and provides lower and upper bounds for the result for . We demonstrate the reliability of the method using toy data sets generated from a model for reflecting the expected statistics of the MUonE experiment.
32 pages, 8 figures. App. B removed. Results unchanged. Matches published version
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