15 research outputs found

    Transverse-momentum and pseudorapidity distributions of charged hadrons in pp collisions at √s=7 TeV

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    Charged-hadron transverse-momentum and pseudorapidity distributions in proton-proton collisions at root s = 7 TeV are measured with the inner tracking system of the CMS detector at the LHC. The charged-hadron yield is obtained by counting the number of reconstructed hits, hit pairs, and fully reconstructed charged-particle tracks. The combination of the three methods gives a charged-particle multiplicity per unit of pseudorapidity dN(ch)/d eta vertical bar(vertical bar eta vertical bar<0.5) = 5.78 +/- 0.01(stat) +/- 0.23(stat) for non-single-diffractive events, higher than predicted by commonly used models. The relative increase in charged-particle multiplicity from root s = 0.9 to 7 TeV is [66.1 +/- 1.0(stat) +/- 4.2(syst)]%. The mean transverse momentum is measured to be 0.545 +/- 0.005(stat) +/- 0.015(syst) GeV/c. The results are compared with similar measurements at lower energies

    Performance of the CMS Level-1 trigger during commissioning with cosmic ray muons and LHC beams

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    This is the Pre-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2010 IOPThe CMS Level-1 trigger was used to select cosmic ray muons and LHC beam events during data-taking runs in 2008, and to estimate the level of detector noise. This paper describes the trigger components used, the algorithms that were executed, and the trigger synchronisation. Using data from extended cosmic ray runs, the muon, electron/photon, and jet triggers have been validated, and their performance evaluated. Efficiencies were found to be high, resolutions were found to be good, and rates as expected.This work is supported by FMSR (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES (Croatia); RPF (Cyprus); Academy of Sciences and NICPB (Estonia); Academy of Finland, ME, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); OTKA and NKTH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); NRF (Korea); LAS (Lithuania); CINVESTAV, CONACYT, SEP, and UASLP-FAI (Mexico); PAEC (Pakistan); SCSR (Poland); FCT (Portugal); JINR (Armenia, Belarus, Georgia, Ukraine, Uzbekistan); MST and MAE (Russia); MSTDS (Serbia); MICINN and CPAN (Spain); Swiss Funding Agencies (Switzerland); NSC (Taipei); TUBITAK and TAEK (Turkey); STFC (United Kingdom); DOE and NSF (USA)

    Performance study of the CMS barrel resistive plate chambers with cosmic rays

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    This is the Pre-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2010 IOPIn October and November 2008, the CMS collaboration conducted a programme of cosmic ray data taking, which has recorded about 270 million events. The Resistive Plate Chamber system, which is part of the CMS muon detection system, was successfully operated in the full barrel. More than 98% of the channels were operational during the exercise with typical detection efficiency of 90%. In this paper, the performance of the detector during these dedicated runs is reported.This work is supported by FMSR (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES (Croatia); RPF (Cyprus); Academy of Sciences and NICPB (Estonia); Academy of Finland, ME, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); OTKA and NKTH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); NRF (Korea); LAS (Lithuania); CINVESTAV, CONACYT, SEP, and UASLP-FAI (Mexico); PAEC (Pakistan); SCSR (Poland); FCT (Portugal); JINR (Armenia, Belarus, Georgia, Ukraine, Uzbekistan); MST and MAE (Russia); MSTDS (Serbia); MICINN and CPAN (Spain); Swiss Funding Agencies (Switzerland); NSC (Taipei); TUBITAK and TAEK (Turkey); STFC (United Kingdom); DOE and NSF (USA)

    Performance of the CMS hadron calorimeter with cosmic ray muons and LHC beam data

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    This is the Pre-print version of the Article. The official published version of the Paper can be accessed from the link below - Copyright @ 2010 IOPThe CMS Hadron Calorimeter in the barrel, endcap and forward regions is fully commissioned. Cosmic ray data were taken with and without magnetic field at the surface hall and after installation in the experimental hall, hundred meters underground. Various measurements were also performed during the few days of beam in the LHC in September 2008. Calibration parameters were extracted, and the energy response of the HCAL determined from test beam data has been checked.This work is supported by FMSR (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES (Croatia); RPF (Cyprus); Academy of Sciences and NICPB (Estonia); Academy of Finland, ME, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); OTKA and NKTH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); NRF (Korea); LAS (Lithuania); CINVESTAV, CONACYT, SEP, and UASLP-FAI (Mexico); PAEC (Pakistan); SCSR (Poland); FCT (Portugal); JINR (Armenia, Belarus, Georgia, Ukraine, Uzbekistan); MST and MAE (Russia); MSTDS (Serbia); MICINN and CPAN (Spain); Swiss Funding Agencies (Switzerland); NSC (Taipei); TUBITAK and TAEK (Turkey); STFC (United Kingdom); DOE and NSF (USA)

    Programa computacional para dimensionamento e avaliação de sistemas de irrigação por sulco Software for designing and evaluation of furrow irrigation systems

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    Este trabalho apresenta o aplicativo denominado DimSulco, desenvolvido em linguagem Visual Basic 5, em ambiente Windows 95, que objetiva facilitar ao usuário o dimensionamento e a avaliação de sistemas de irrigação por sulco, a partir do conhecimento prévio de parâmetros básicos de projeto. O DimSulco foi estruturado em cinco módulos: I - Irrigação sem déficit hídrico e comprimento do sulco definido; II - Irrigação sem déficit hídrico e comprimento do sulco indefinido; III - Irrigação com déficit hídrico e comprimento do sulco definido; IV - Irrigação com déficit hídrico e comprimento do sulco indefinido e V - Sistema de reutilização de água. Os módulos I e III foram divididos em dois submódulos, que permitem o dimensionamento e a avaliação do sistema com e sem vazão reduzida. Os módulos II e IV foram divididos em quatro submódulos, contemplando as seguintes opções: a) sem vazão reduzida e tempo de avanço (Ta) igual a &frac14; do tempo de oportunidade de infiltração da lâmina requerida no final da parcela (To); b) com vazão reduzida e Ta igual a &frac14; de To; c) sem vazão reduzida e Ta igual a To e d) com vazão reduzida e Ta igual a To. O módulo V dimensiona sistemas de reutilização da água a partir de um dimensionamento prévio efetuado em qualquer um dos módulos anteriores, definindo os elementos básicos de cada setor e recalculando os índices de desempenho. Para ilustrar a execução do programa, utilizou-se um exemplo de dimensionamento de um sistema de irrigação por sulco.<br>This work presents a software named DimSulco, developed in the Visual Basic language, version 5 for Windows 95, with the objective of helping the user to design and to evaluate furrow irrigation systems from previous knowledge of fundamental project parameters. It was structured in five modules: I - Without deficit irrigation and defined furrow length; II - Without deficit irrigation and undefined furrow length; III - Deficit irrigation and defined furrow length; IV - Deficit irrigation and undefined furrow length and V - Reuse of irrigation runoff system. The modules I and III are divided in two sub-modules, which allow the design and performance of the system with and without cutback inflow. The modules II and IV are divided in four sub-modules including the options: a) Without cutback inflow and advance time (Ta) equal to &frac14; opportunity time for infiltration of the depth of water at the final end (To); b) With cutback inflow and Ta equal to &frac14; To; c) Without cutback inflow and Ta equal to To and d) With cutback inflow and Ta equal to To. The module V allows the design of irrigation runoff reuse systems using any of the previously designed modules, calculating the basic elements of the each set and performance of irrigation variables. To illustrate an application of this software one example of a furrow irrigation system was used

    Utilização da TDR para monitoramento da solução de nitrato de potássio em Latossolo Vermelho-Amarelo Use of tdr for monitoring the potassium nitrate solution in dystrophic Red-Yellow Latossol

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    O conhecimento da distribuição e armazenamento da solução no solo é de grande importância para a agricultura, pois a interação entre os nutrientes e a água é um dos fatores que influenciam diretamente no rendimento das culturas. Das várias técnicas utilizadas para o monitoramento da solução no solo, a reflectometria no domínio do tempo (TDR) vem sendo bastante difundida entre os pesquisadores por apresentar inúmeras vantagens, dentre as quais a mensuração em tempo real e a possibilidade de leituras automatizadas. O principal objetivo desta pesquisa foi avaliar a distribuição da solução de KNO3 no perfil de um Latossolo Vermelho-Amarelo. Sondas de Reflectometria no Domínio do Tempo (TDR) foram utilizadas para monitorar a distribuição de solução no solo aplicada por gotejadores de fluxo constante nas vazões de 2; 4 e 8 L h-1. Considerando-se os resultados de diferentes perfis, observou-se maior armazenamento da solução próxima ao gotejador, diminuindo progressivamente para frente de molhamento. Pouco mais da metade da solução aplicada (65%) foi armazenada na primeira camada (0-0,10 m) para todos os ensaios, e 22% foi armazenada na próxima camada (0,10-0,20 m). Comparando-se diferentes taxas de aplicação, observou-se maior armazenamento de água para o gotejador de 4 L h-1, com 60; 72 e 63% de solução de KNO3 aplicada acumulada na primeira camada (0-0,10 m) para gotejadores de 2; 4 e 8 L h-1, respectivamente. Os resultados sugerem que, com base no volume e frequência utilizada neste experimento, seria vantajoso aplicar pequenas quantidades de água em intervalos mais frequentes para reduzir perdas por percolação.<br>Knowledge of water distribution in soil is of great importance to agriculture, since water is one of the factors that most influence the yield of crops. There are many techniques used for monitoring of soil water content, the Time Domain Reflectometry (TDR) has been widespread among researchers to present several advantages, among which the determination in real time and possibility of automated readings. The main goal of this research was to evaluate the KNO3 solution distribution in a profile of a Dystrophic Red-Yellow latossol. Time domain reflectometry (TDR) probes were used to monitor the soil solution distribution from drippers discharging at constant flow rates of 2, 4 and 8 L h-1 in soil. Considering the results from different profiles, we observed greater solute storage near the dripper decreasing gradually towards the wetting front. About half of the applied KNO3 solution (65%) was stored in the first layer (0-0.10 m) for all experiments and 22 % was stored in the next layer (0.10-0.20 m). Comparing different dripper flow rates, we observed higher solution storage for 4 L h-1, with 60, 72 and 63 % of the applied KNO3 solution accumulated in the first layer (0-0.10 m) for dripper flow rates of 2, 4 and 8 L h-1, respectively. The results suggest that based on the volume and frequency used in this experiment, it would be advantageous to apply small amounts of solution at more frequent intervals to reduce deep percolation losses of applied water and solutes

    Commissioning of the CMS High-Level Trigger with Cosmic Rays

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    The CMS High-Level Trigger (HLT) is responsible for ensuring that data samples with potentially interesting events are recorded with high efficiency and good quality. This paper gives an overview of the HLT and focuses on its commissioning using cosmic rays. The selection of triggers that were deployed is presented and the online grouping of triggered events into streams and primary datasets is discussed. Tools for online and offline data quality monitoring for the HLT are described, and the operational performance of the muon HLT algorithms is reviewed. The average time taken for the HLT selection and its dependence on detector and operating conditions are presented. The HLT performed reliably and helped provide a large dataset. This dataset has proven to be invaluable for understanding the performance of the trigger and the CMS experiment as a whole
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