15 research outputs found

    Measurement of the Bottom-Strange Meson Mixing Phase in the Full CDF Data Set

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    We report a measurement of the bottom-strange meson mixing phase \beta_s using the time evolution of B0_s -> J/\psi (->\mu+\mu-) \phi (-> K+ K-) decays in which the quark-flavor content of the bottom-strange meson is identified at production. This measurement uses the full data set of proton-antiproton collisions at sqrt(s)= 1.96 TeV collected by the Collider Detector experiment at the Fermilab Tevatron, corresponding to 9.6 fb-1 of integrated luminosity. We report confidence regions in the two-dimensional space of \beta_s and the B0_s decay-width difference \Delta\Gamma_s, and measure \beta_s in [-\pi/2, -1.51] U [-0.06, 0.30] U [1.26, \pi/2] at the 68% confidence level, in agreement with the standard model expectation. Assuming the standard model value of \beta_s, we also determine \Delta\Gamma_s = 0.068 +- 0.026 (stat) +- 0.009 (syst) ps-1 and the mean B0_s lifetime, \tau_s = 1.528 +- 0.019 (stat) +- 0.009 (syst) ps, which are consistent and competitive with determinations by other experiments.Comment: 8 pages, 2 figures, Phys. Rev. Lett 109, 171802 (2012

    Upper Tremadoc–Lower Arenig? Anisograptid–Dichograptid fauna from the Cabitza Formation (Lower Ordovician, SW Sardinia, Italy)

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    The discovery of the anisograptid graptolite Araneograptus murrayi (Hall, 1865), the dichograptids Clonograptus (Clonograptus) cf. rigidus (Hall, 1858) and Clonograptus (Clonograptus) cf. multiplex (Nicholson, 1868) and of two unassigned species of Didymograptus in the Late Tremadoc–Early Arenig? sediments of the Fluminese area (SW Sardinia) adds new data on the biostratigraphy and palaeoecological setting of the Cabitza Formation, as well as on the paleobiogeographical distribution of these taxa

    Animal models of cerebral stroke

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    We have designed and realised a knowledge base for collecting, eleborating, and extracting analytical results of genomic, proteomic, biochemical, morphological investigations for animal models of cerebral stroke. Data analysis techniques are tailored to make the data available for processing and correlation, in order to increase the predictive value of the preclinical data, to perform biosimulation studies, and to support both academic and industrial research in the area of cerebral stroke therapy. The KB is conceived as a persistent tool, mantained and easy to update also with data of type different from initial project

    Animal models of cerebral stroke += Proteomics data

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    Proteomics data has been added to the KB. We have designed and realised a knowledge base for collecting, eleborating, and extracting analytical results of genomic, proteomic, biochemical, morphological investigations for animal models of cerebral stroke. Data analysis techniques are tailored to make the data available for processing and correlation, in order to increase the predictive value of the preclinical data, to perform biosimulation studies, and to support both academic and industrial research in the area of cerebral stroke therapy. The KB is conceived as a persistent tool, mantained and easy to update also with data of type different from initial project

    Preclinical data for cerebral stroke: A Knowledge Base for collecting, processing and analysing biological data derived from animal models of cerebral stroke

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    We have designed and realised a knowledge base for collecting, elaborating, and extracting analytical results of genomic, proteomic, biochemical, morphological investigations from animal models of cerebral stroke. Data analysis techniques are tailored to make the data available for processing and correlation, in order to increase the predictive value of the preclinical data, to perform biosimulation studies, and to support both academic and industrial research in the area of cerebral stroke therapy. A first statistical analysis of the retrieved information leads to the validation of our animal models and suggests a greater predictive and translational value for parameters related to a specific model
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