Aix-Marseille University

About: Aix-Marseille University is a education organization based out in Marseille, France. It is known for research contribution in the topics: Population & Galaxy. The organization has 24326 authors who have published 54240 publications receiving 1455416 citations. The organization is also known as: University Aix-Marseille & université d'Aix-Marseille.

Angular analysis of the B 0 → K *0 μ + μ − decay using 3 fb −1 of integrated luminosity

Abstract: An angular analysis of the B0 → K*0(→ K+π−)μ+μ− decay is presented. The dataset corresponds to an integrated luminosity of 3.0 fb−1 of pp collision data collected at the LHCb experiment. The complete angular information from the decay is used to determine CP-averaged observables and CP asymmetries, taking account of possible contamination from decays with the K+π− system in an S-wave configuration. The angular observables and their correlations are reported in bins of q2, the invariant mass squared of the dimuon system. The observables are determined both from an unbinned maximum likelihood fit and by using the principal moments of the angular distribution. In addition, by fitting for q2-dependent decay amplitudes in the region 1.1 < q2 < 6.0 GeV2/c4, the zero-crossing points of several angular observables are computed. A global fit is performed to the complete set of CP-averaged observables obtained from the maximum likelihood fit. This fit indicates differences with predictions based on the Standard Model at the level of 3.4 standard deviations. These differences could be explained by contributions from physics beyond the Standard Model, or by an unexpectedly large hadronic effect that is not accounted for in the Standard Model predictions.[Figure not available: see fulltext.]

First Evidence for the Decay B-s(0) -> mu(+) mu(-)

Abstract: A search for the rare decays Bs->mu+mu- and B0->mu+mu- is performed using data collected in 2011 and 2012 with the LHCb experiment at the Large Hadron Collider. The data samples comprise 1.1 fb^-1 of proton-proton collisions at sqrt{s} = 8 TeV and 1.0 fb^-1 at sqrt{s}=7 TeV. We observe an excess of Bs -> mu+ mu- candidates with respect to the background expectation. The probability that the background could produce such an excess or larger is 5.3 x 10^-4 corresponding to a signal significance of 3.5 standard deviations. A maximum-likelihood fit gives a branching fraction of BR(Bs -> mu+ mu-) = (3.2^{+1.5}_{-1.2}) x 10^-9, where the statistical uncertainty is 95% of the total uncertainty. This result is in agreement with the Standard Model expectation. The observed number of B0 -> mu+ mu- candidates is consistent with the background expectation, giving an upper limit of BR(B0 -> mu+ mu-) < 9.4 x 10^-10 at 95% confidence level.

Prevalence and Characteristics of Undiagnosed Bipolar Disorders in Patients With a Major Depressive Episode: The BRIDGE Study

Abstract: Context Major depressive disorder, the most common psychiatric illness, is often chronic and a major cause of disability. Many patients with major depressive episodes who have an underlying but unrecognized bipolar disorder receive pharmacologic treatment with ineffective regimens that do not include mood stabilizers. Objective To determine the frequency of bipolar disorder symptoms in patients seeking treatment for a major depressive episode. Design Multicenter, multinational, transcultural, cross-sectional, diagnostic study. The study arose from the initiative Bipolar Disorders: Improving Diagnosis, Guidance and Education (BRIDGE). Setting Community and hospital psychiatry departments. Patients Participants included 5635 adults with an ongoing major depressive episode. Main Outcome Measures The frequency of bipolar disorder was determined by applying both DSM-IV-TR criteria and previously described bipolarity specifier criteria. Variables associated with bipolarity were assessed using logistic regression. Results A total of 903 patients fulfilled DSM-IV-TR criteria for bipolar disorder (16.0%; 95% confidence interval, 15.1%-17.0%), whereas 2647 (47.0%; 95% confidence interval, 45.7%-48.3%) met the bipolarity specifier criteria. Using both definitions, significant associations (odds ratio > 2; P Conclusions The bipolar-specifier criteria in comparison with DSM-IV-TR criteria were valid and identified an additional 31% of patients with major depressive episodes who scored positive on the bipolarity criteria. Family history, illness course, and clinical status, in addition to DSM-IV-TR criteria, may provide useful information for physicians when assessing evidence of bipolarity in patients with major depressive episodes. Such an assessment is recommended before deciding on treatment.

General review and classification of different MPPT Techniques

Abstract: In this paper, the concept of power tracking for PV systems is highlighted and an overview on 40 old and recent Maximum Power Point Tracking (MPPT) methods, available in the literature, is presented and classified. These methods are mathematically modeled and presented in such a way the reader can select the most appropriate method for his own application. A comparative table is presented at the end of the paper to simplify the classification of the different methods.