The Resistive Plate Chambers (RPCs) are employed in the CMS experiment at the LHC as dedicated trigger system both in the barrel and in the endcap. This note presents results of the RPC detector uniformity and stability during the 2011 data taking period, and preliminary results obtained with 2012 data. The detector uniformity has been ensured with a dedicated High Voltage scan with LHC collisions, in order to determine the optimal operating working voltage of each individual RPC chamber installed in CMS. Emphasis is given on the procedures and results of the High Voltage calibration. Moreover, an increased detector stability has been obtained by automatically taking into account temperature and atmospheric pressure variations in the CMS cavern.
Objective: To investigate possible association between Helicobacter pylori infection and Posner-Schlossman syndrome. Methods: In a prospective study, 40 subjects with Posner-Schlossman syndrome were examined. As a control group, 73 subjects without Posner-Schlossman syndrome were selected for comparison with the study group. All participants underwent serologic analysis for the presence of H. pylori infection by an enzyme-linked immunosorbent assay. Positive rate of serum anti-H. pylori IgG was compared between Posner-Schlossman syndrome patients and control participants. Results: The rate of positive titre (415 U/ml) of H. pylori was 80.0% in the Posner-Schlossman syndrome group and 56.2% in control group, showing significant difference (Fischer's exact, P ¼ 0.014). Multivariate analysis adjusted for various systemic factors revealed that positive titre of anti-H. pylori IgG was a significant risk factor for Posner-Schlossman syndrome with an odds ratio, (4.84, 95.0% CI: 1.10-21.24, P ¼ 0.037). Conclusions: H. pylori infection occurred significantly more often in PosnerSchlossman syndrome patients. This study suggests that exposure to H. pylori infection is associated with Posner-Schlossman syndrome in Korea.
The Resistive Plate Chamber (RPC) muon subsystem contributes significantly to the formation of the trigger decision and reconstruction of the muon trajectory parameters. Simulation of the RPC response is a crucial part of the entire CMS Monte Carlo software and directly influences the final physical results. An algorithm based on the parametrization of RPC efficiency, noise, cluster size and timing for every strip has been developed. Experimental data obtained from cosmic and proton-proton collisions at √ s = 7 TeV have been used for determination of the parameters. A dedicated validation procedure has been developed. A good agreement between the simulated and experimental data has been achieved.
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