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| Release | : 2016 |
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The spectra of charged particles produced within the pseudorapidity window $
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| Release | : 2016 |
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| Author | : Eric Appelt |
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| Total Pages | : 148 |
| Release | : 2014 |
| Genre | : Collisions (Nuclear physics) |
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| Author | : Shreyasi Acharya |
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| Total Pages | : 0 |
| Release | : 2019 |
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Charged-particle spectra at midrapidity are measured in Pb-Pb collisions at the centre-of-mass energy per nucleon-nucleon pair √sNN = 5.02 TeV and presented in centrality classes ranging from most central (0-5%) to most peripheral (95-100%) collisions. Possible medium effects are quantified using the nuclear modification factor (RAA) by comparing the measured spectra with those from proton-proton collisions, scaled by the number of independent nucleon-nucleon collisions obtained from a Glauber model. At large transverse momenta (8
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| Total Pages | : 37 |
| Release | : 2015 |
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Transverse momentum spectra of charged particles are measured by the CMS experiment at the CERN LHC in pPb collisions at [arrow]"NN = 5.02 TeV, in the range 0.4
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| Release | : 2015 |
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Transverse momentum spectra of charged particles are measured by the CMS experiment at the CERN LHC in pPb collisions at [arrow]"NN = 5.02 TeV in the range 0.4
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| Release | : 2016 |
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Here, transverse momentum (pT) spectra of pions, kaons, and protons up to pT = 20GeV/c have been measured in Pb-Pb collisions at √sNN = 2.76TeV using the ALICE detector for six different centrality classes covering 0%-80%. The proton-to-pion and the kaon-to-pion ratios both show a distinct peak at pT ≈ 3GeV/c in central Pb-Pb collisions that decreases for more peripheral collisions. For pT > 10GeV/c, the nuclear modification factor is found to be the same for all three particle species in each centrality interval within systematic uncertainties of 10%-20%. This suggests there is no direct interplay between the energy loss in the medium and the particle species composition in the hard core of the quenched jet. For pT
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| Release | : 2016 |
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| Author | : Ravi Janjam |
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| Total Pages | : 101 |
| Release | : 2018 |
| Genre | : Electronic dissertations |
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