630 research outputs found

    First results from Au+Au collisions at (sNN)\sqrt(s_{NN}) = 9.2 GeV in STAR

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    One of the primary aims of heavy-ion collisions is to map the QCD phase diagram and search for different phases and phase boundaries. RHIC Energy Scan Program was launched to address this goal by studying heavy-ion collisions at different center of mass energies. The first test run with Au+Au collisions at sNN\sqrt{s_{NN}} = 9.2 GeV took place in early 2008. The large acceptance STAR detector has collected few thousands minimum bias collisions at this beam energy. We present the first results for identified particle yields and particle ratios. The results for the azimuthal anisotropy parameters v1v_1 and v2v_2 and those from pion interferometry measurements are also discussed in this paper. These results are compared to data from the SPS at similar beam energies.Comment: six pages, eight figures, proceedings for the talk given at Strange Quark Matter 2008, Beijing, China, October 6 - 10, 200

    Measurement of Non-photonic Electrons in p + p Collisions at sNN\sqrt{s_{NN}} = 200 GeV with reduced detector material in STAR

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    In this paper, we present our analysis of mid-rapidity non-photonic electron (NPE) production at pT >0.2GeV/c in p+p collisions at sNN\sqrt{s_{NN}} = 200 GeV. The dataset is about 78M TOF-triggered events taken from RHIC year 2008 runs. Through the measurement of e/\pi ratio, we find that the photonic background electrons from gamma conversions are reduced by about a factor of 10 compared with those in STAR previous runs due to the absence of inner tracking detectors and the supporting materials. The dramatic increase of signal-to-background ratio will allow us to improve the precision on extracting the charm cross-section via its semi-leptonic decays to electrons.Comment: 6 pages, 10 figures, SQM0

    Beliefs are multidimensional and vary in stability over time - psychometric properties of the Beliefs and Values Inventory (BVI)

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    The cognitive processes underlying belief are still obscure. Understanding these processes may lead to more targeted treatment to better address functional impairment, such as occurs with delusions. One way in which this might be accomplished is to understand healthy, everyday beliefs, and how these may relate to characteristics observed in delusions. As yet, no such measure exists to accurately measure belief across a range of themes and dimensions. This paper outlines two studies documenting the creation and psychometric properties of a novel measure assessing three different dimensions of belief across themes of politics, science, the paranormal, religion, and morality in UK samples (n = 1, 673 total). Reliability estimates suggested good to excellent consistency (alpha > 0.8 per theme) with moderate to excellent reliability at 48 h (ICC = 0.61 –0.96) and 3.5 months (ICC = 0.61 –0.89). Factor analyses suggested good support for our five chosen themes of belief, suggesting they are distinct topic areas. Correlations across theme and dimension suggested dissociable characteristics within themes. These results have implications for 1. understanding the stability and relationship between themes of belief in a population and, 2. exploring how beliefs may change over time or as a result of an intervention. Full analysis code and data are available from the Open Science Framework (https://osf.io/hzvwr/)
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