2024-10-24 16:56 |
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2024-10-09 19:21 |
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2024-10-08 19:34 |
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2024-10-08 08:52 |
Jet shapes based on two-particle angular correlations in PbPb collisions at $\sqrt{{s}_{\rm NN}}$ = 5.02 TeV
/CMS Collaboration
In ultrarelativistic heavy ion collisions, long- and short-range correlations can be studied by forming two-dimensional histograms of the separations in pseudorapidity and azimuth
of each particle in an event with every other particle in that event, with the two particles forming a pair selected in specified transverse-momentum ranges.
Averaged over many events, jets result in a well defined peak structure centered at zero separation in pseudorapidity and azimuth. This note explores the evolution of the two-particle jet peak shape with the pair transverse momentum ranges, the collision centrality, and the pseudorapidity of the jet peak. [...]
CMS-PAS-HIN-24-008.-
Geneva : CERN, 2024
Figure_001: PNG; Figure_002-a: PDF; Figure_002-b: PDF; Figure_002-c: PDF; Figure_003-a: PDF; Figure_003-b: PDF; Figure_003-c: PDF; Figure_004-a: PDF; Figure_004-b: PDF; Figure_005: PDF; Figure_006-a: PDF; Figure_006-b: PDF; Figure_006-c: PDF; Figure_006-d: PDF; Figure_007: PDF; Figure_008-a: PDF; Figure_008-b: PDF; Figure_009: PNG; Figure_011-a: PDF; Figure_011-b: PDF; Figure_011-c: PDF; Figure_011-d: PDF; Figure_011-e: PDF; Figure_012-a: PDF; Figure_012-b: PDF; Figure_012-c: PDF; Figure_012-d: PDF; Figure_012-e: PDF; Fulltext in PDF: PDF; External link: Additional information for the analysis (restricted access)
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2024-10-07 18:55 |
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2024-09-30 18:26 |
Search for heavy pseudoscalar and scalar bosons decaying to top quark pairs in proton-proton collisions at
/CMS Collaboration
A search for heavy pseudoscalar or scalar bosons decaying to a top quark pair ($\mathrm{t\bar{t}}$) in final states with one or two charged leptons is presented, using $138\,\mathrm{fb}^{-1}$ of proton-proton collisions at $\sqrt{s}=13\,\mathrm{TeV}$ recorded by the CMS experiment at the CERN LHC. The invariant mass of the reconstructed $\mathrm{t\bar{t}}$ system and variables sensitive to its spin state are used to discriminate against the standard model $\mathrm{t\bar{t}}$ background. [...]
CMS-PAS-HIG-22-013.-
Geneva : CERN, 2024
Figure_001-a: PDF; Figure_001-b: PDF; Figure_002-a: PDF; Figure_002-b: PDF; Figure_003: PDF; Figure_004: PDF; Figure_005: PDF; Figure_006-a: PDF; Figure_006-b: PDF; Figure_006-c: PDF; Figure_006-d: PDF; Figure_006-e: PDF; Figure_006-f: PDF; Figure_007-a: PDF; Figure_007-b: PDF; Figure_007-c: PDF; Figure_007-d: PDF; Figure_007-e: PDF; Figure_007-f: PDF; Figure_008: PDF; Figure_009: PDF; Figure_010-a: PDF; Figure_010-b: PDF; Figure_010-c: PDF; Figure_010-d: PDF; Figure_010-e: PDF; Figure_010-f: PDF; Figure_011-a: PDF; Figure_011-b: PDF; Figure_011-c: PDF; Figure_011-d: PDF; Figure_011-e: PDF; Figure_011-f: PDF; Figure_012-a: PDF; Figure_012-b: PDF; Figure_012-c: PDF; Figure_012-d: PDF; Figure_A001: PDF; Fulltext in PDF: PDF; External link: Additional information for the analysis (restricted access)
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2024-09-27 15:03 |
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2024-09-25 15:55 |
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2024-09-24 18:37 |
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2024-09-24 16:50 |
Wasserstein normalized autoencoder
/CMS Collaboration
A novel approach to unsupervised jet tagging is presented for the CMS experiment at the CERN LHC. The Wasserstein normalized autoencoder (WNAE) is a normalized probabilistic model that minimizes the Wasserstein distance between the probability distribution of the training data and the Boltzmann distribution of the reconstruction error of the autoencoder. [...]
CMS-PAS-MLG-24-002.-
Geneva : CERN, 2024
Figure_001: PDF; Figure_002-a: PDF; Figure_002-b: PDF; Figure_003-a: PDF; Figure_003-b: PDF; Figure_004-a: PDF; Figure_004-b: PDF; Figure_004-c: PDF; Figure_004-d: PDF; Figure_004-e: PDF; Figure_004-f: PDF; Figure_005: PDF; Figure_006-a: PDF; Figure_006-b: PDF; Figure_007-a: PDF; Figure_007-b: PDF; Figure_007-c: PDF; Figure_008: PDF; Figure_009-a: PDF; Figure_009-b: PDF; Figure_010: PDF; Figure_011-a: PDF; Figure_011-b: PDF; Figure_011-c: PDF; Figure_011-d: PDF; Figure_011-e: PDF; Figure_011-f: PDF; Figure_011-g: PDF; Figure_011-h: PDF; Figure_012-a: PDF; Figure_012-b: PDF; Figure_012-c: PDF; Figure_012-d: PDF; Figure_012-e: PDF; Figure_012-f: PDF; Figure_012-g: PDF; Figure_012-h: PDF; Figure_013: PDF; Fulltext in PDF: PDF; External link: Additional information for the analysis (restricted access)
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