Measurement of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>P</mml:mi><mml:mi>μ</mml:mi></mml:msub><mml:mi>ξ</mml:mi></mml:math>in polarized muon decay

Jamieson, B.; Bayes, R.; Davydov, Yu. I.; Depommier, P.; Doornbos, J.; Faszer, W.; Fujiwara, Masahiro; Gagliardi, C. A.; Gaponenko, A.; Gill, D. R.; Gumplinger, P.; Hasinoff, M.; Henderson, R.; Hu, J.; Kitching, P.; Koetke, D. D.; Macdonald, J. A.; MacDonald, R.; Marshall, G. M.; Mathie, E. L.; Mischke, R. E.; Musser, J.; Nozar, M.; Olchanski, K.; Olin, Å.; Openshaw, R.; Porcelli, T. A.; Poutissou, J. M.; Poutissou, R.; Quraan, Maher A.; Rodning, N.; Selivanov, V. I.; Sheffer, Gabriel; Shin, B. K.; Stanislaus, T. D. S.; Tacik, R.; Torokhov, V.; Tribble, R. E.; Vasiliev, M. A.

doi:10.1103/physrevd.74.072007

Cited by 22 publications

(16 citation statements)

References 33 publications

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“…For example, in the field of Nuclear and Particle Physics, extremely small signals embedded in high noise backgrounds have been successfully detected at high confidence levels, leading to the discovery of new particles and phenomena. In a recent and challenging experiment in which the first author was involved, signals were measured at accuracies of 1 part in 10 4 [Jamieson et al, 2006; MacDonald et al, 2008]. Recent progress in the MEG field to properly quantify the mathematical models and test their performance will pave the way for MEG to play a wider role in neuroimaging.…”

Section: Discussionmentioning

confidence: 99%

Detection and localization of hippocampal activity using beamformers with MEG: A detailed investigation using simulations and empirical data

Quraan

Moses

Hung

et al. 2011

Human Brain Mapping

102

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The ability to detect neuronal activity emanating from deep brain structures such as the hippocampus using magnetoencephalography has been debated in the literature. While a significant number of recent publications reported activations from deep brain structures, others reported their inability to detect such activity even when other detection modalities confirmed its presence. In this article, we relied on realistic simulations to show that both sides of this debate are correct and that these findings are reconcilable. We show that the ability to detect such activations in evoked responses depends on the signal strength, the amount of brain noise background, the experimental design parameters, and the methodology used to detect them. Furthermore, we show that small signal strengths require contrasts with control conditions to be detected, particularly in the presence of strong brain noise backgrounds. We focus on one localization technique, the adaptive spatial filter (beamformer), and examine its strengths and weaknesses in reconstructing hippocampal activations, in the presence of other strong brain sources such as visual activations, and compare the performance of the vector and scalar beamformers under such conditions. We show that although a weight-normalized beamformer combined with a multisphere head model is not biased in the presence of uncorrelated random noise, it can be significantly biased in the presence of correlated brain noise. Furthermore, we show that the vector beamformer performs significantly better than the scalar under such conditions. We corroborate our findings empirically using real data and demonstrate our ability to detect and localize such sources.

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Section: Discussionmentioning

confidence: 99%

Detection and localization of hippocampal activity using beamformers with MEG: A detailed investigation using simulations and empirical data

Quraan

Moses

Hung

et al. 2011

Human Brain Mapping

102

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“…Depolarization in the fringe field and in the muon stopping target result in P < P and constitute the largest contributions to systematic uncertainties for P . These uncertainties were improved considerably for this analysis compared to the intermediate result [7]. Improvements in the beam steering reduced the fringe field depolarization for a nominal data set to only 2:5 Â 10 À3 .…”

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confidence: 91%

“…Intermediate TWIST results have already reduced those uncertainties to ð0:7-3:8Þ Â 10 À3 [6,7]. TWIST has now realized its goal of making about an order of magnitude improvement in each of the parameters.…”

mentioning

confidence: 99%

Experimental Constraints on Left-Right Symmetric Models from Muon Decay

Bayes

Bueno²,

Hillairet³

et al. 2011

Phys. Rev. Lett.

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The TWIST Collaboration has completed a new measurement of the energy-angle spectrum of positrons from the decay of highly polarized muons. A simultaneous measurement of the muon decay parameters ρ, δ, and P(μ)(π)ξ tests the standard model in a purely leptonic process and provides improved limits for relevant extensions to the standard model. Specifically, for the generalized left-right symmetric model |(g(R)/g(L))ζ|<0.020 and (g(L)/g(R))m(2)>578 GeV/c(2), both 90% C.L.

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“…Experimental bounds are usually given on positively charged muon decays, as they do not form bound state with atoms what would decrease the accuracy of measurements[61].…”

mentioning

confidence: 99%

Lepton flavor violation in the Standard Model with general dimension-six operators

Crivellin

Najjari

Rosiek

2014

J. High Energ. Phys.

103

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Abstract:We study lepton flavor observables in the Standard Model (SM) extended with all dimension-6 operators which are invariant under the SM gauge group. We calculate the complete one-loop predictions to the radiative lepton decays µ → eγ, τ → µγ and τ → eγ as well as to the closely related anomalous magnetic moments and electric dipole moments of charged leptons, taking into account all dimension-6 operators which can generate lepton flavor violation. Also the 3-body flavor violating charged lepton decays τ ± → µ ± µ + µ − , τ ± → e ± e + e − , τ ± → e ± µ + µ − , τ ± → µ ± e + e − , τ ± → e ∓ µ ± µ ± , τ ± → µ ∓ e ± e ± and µ ± → e ± e + e − and the Z 0 decays Z 0 → ℓ + i ℓ − j are considered, taking into account all tree-level contributions.

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Measurement ofPμξin polarized muon decay

Cited by 22 publications

References 33 publications

Detection and localization of hippocampal activity using beamformers with MEG: A detailed investigation using simulations and empirical data

Detection and localization of hippocampal activity using beamformers with MEG: A detailed investigation using simulations and empirical data

Experimental Constraints on Left-Right Symmetric Models from Muon Decay

Lepton flavor violation in the Standard Model with general dimension-six operators

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