39 research outputs found

    On the estimation of temporal mileage rates

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    Physics Opportunities with the 12 GeV Upgrade at Jefferson Lab

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    This white paper summarizes the scientific opportunities for utilization of the upgraded 12 GeV Continuous Electron Beam Accelerator Facility (CEBAF) and associated experimental equipment at Jefferson Lab. It is based on the 52 proposals recommended for approval by the Jefferson Lab Program Advisory Committee.The upgraded facility will enable a new experimental program with substantial discovery potential to address important topics in nuclear, hadronic, and electroweak physics.Comment: 64 page

    Measurement of the Probability of Gluon Splitting into Charmed Quarks in Hadronic Z Decays

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    We have measured the probability, n(g->cc~), of a gluon splitting into a charm-quark pair using 1.7 million hadronic Z decays collected by the L3 detector. Two independent methods have been applied to events with a three-jet topology. One method relies on tagging charmed hadrons by identifying a lepton in the lowest energy jet. The other method uses a neural network based on global event shape parameters. Combining both methods, we measure n(g->cc~)= [2.45 +/- 0.29 +/- 0.53]%

    Search for the Xb and other hidden-beauty states in the π+π−ϒ(1S) channel at ATLAS

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    This Letter presents a search for a hidden-beauty counterpart of the X(3872) in the mass ranges of 10.05–10.31 GeV and 10.40–11.00 GeV, in the channel Xb→π+π−ϒ(1S)(→μ+μ−), using 16.2 fb−1 of pp   collision data collected by the ATLAS detector at the LHC. No evidence for new narrow states is found, and upper limits are set on the product of the Xb cross section and branching fraction, relative to those of the ϒ(2S), at the 95% confidence level using the CLS approach. These limits range from 0.8% to 4.0%, depending on mass. For masses above 10.1 GeV, the expected upper limits from this analysis are the most restrictive to date. Searches for production of the ϒ(13DJ), , and states also reveal no significant signals

    On the estimation of temporal mileage rates

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    Mathematical and computational techniques are developed for the analysis of annual roadworthiness (MOT) test data that the UK Department for Transport has placed in the public domain. This paper develops a new theory to estimate fine-scale temporal (e.g., monthly) variations in vehicle mileage at a population level - derived from coarse-scale (e.g., annual) mileage data at an individual vehicle level. Numerical time-stepping schemes are derived from the theory and are tested on synthetic data to permit comparison with a known ground-truth mileage rate. Finally, we consider first steps in applying the methods directly to the MOT data set. © 2013 Elsevier Ltd

    On the Estimation of Temporal Mileage Rates

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    AbstractMathematical and computational techniques are developed for the analysis of annual MOT (roadworthiness) test data that the UK Department for Transport has placed in the public domain. This paper focusses on the development of a new theory which has the potential to estimate fine-scale temporal variations (e.g., monthly) in vehicle mileage at a population level, that we call the spot rate — derived from coarse-scale (e.g., annual) mileage data at an individual vehicle level. Due to the availability of data, the focus is on the UK situation, but the theory has applications to any data set internationally, where odometer readings of individual vehicles are monitored on an occasional basis. Numerical time-stepping schemes are derived from the theory and are tested on synthetic data to permit comparison with a known ground-truth mileage rate. It is found that for practical applicability, the methods need to pre-process data with smoothing filters (a full investigation of which is beyond the scope of this paper). Finally, we consider first steps in applying the methods directly to the MOT data set and the remaining problems that must be solved for them to become a practical reality
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