14–15 Jan 2016
Durham University
Europe/London timezone

Muon g-2: data combination, fitting and systematic bias

15 Jan 2016, 09:50
25m
CM101 (Department of Mathematical Sciences)

CM101

Department of Mathematical Sciences

Speaker

Mr Alex Keshavarzi (University of Liverpool)

Description

The anomalous magnetic moment of the muon, $a_{\mu}$, stands as an enduring precision test of the Standard Model. With the hadronic contribution providing the largest uncertainty to the standing $3.3\sigma$ discrepancy between theoretical and experimental estimates, the combination of $e^{+}e^{-} \rightarrow$ hadrons cross section data in the determination of $a_{\mu}^{\text{had, LOVP}}$ must be statistically reliable to achieve a precise estimate to $a_{\mu}^{\text{SM}}$. Recent studies have highlighted the prospect of systematic biases that can arise through the fitting of global normalisation uncertainties. An analysis of the existing fitting method shows that although it has the potential to incur a bias, previous results are still reliable. However, it necessary to produce a new, unbiased iterative fitting procedure: the $R_m^I$ method. Applying this new method in the determination of the dominant $e^{+}e^{-} \rightarrow \pi^{+}\pi^{-}$ hadronic contribution yields an unbiased result of $a_{\mu}^{\pi^{+}\pi^{-}}(0.305 \leq \sqrt{s} \leq 2 \ \text{GeV}) = (504.42 \pm 2.24) \times 10^{-10}$. We then apply the $R_m^I$ method to other dominant hadronic channels as an indication of the impact on a full analysis of the determination of $a_{\mu}^{\text{had, LOVP}}$

Primary author

Mr Alex Keshavarzi (University of Liverpool)

Presentation materials