Search results for "Jets"

showing 10 items of 1074 documents

"Table 31" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distributions of the Jet Mass Differences (MDIFF**2/EVIS**2) at cm energies 133, 161 and 172 GeV.

DN/DMDIFFE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringExclusiveSingle Differential DistributionJet Production133.0-172.0
researchProduct

"Table 32" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distribution of the Jet Mass Differences (MDIFF**2/EVIS**2) at cm energy 183 GeV.

DN/DMDIFFMathematics::ProbabilityAstrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentSingle Differential DistributionJet ProductionNuclear Experiment183.0
researchProduct

"Table 27" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distributions of the Heavy Jet Masses (MH**2/EVIS**2) at cm energies 133, 161 and 172 GeV.

DN/DMHEAVY-JETE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringExclusiveSingle Differential DistributionJet Production133.0-172.0
researchProduct

"Table 29" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distributions of the Light Jet Masses (ML**2/EVIS**2) at cm energies 133, 161 and 172 GeV.

DN/DMLIGHT-JETE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringExclusiveSingle Differential DistributionJet Production133.0-172.0
researchProduct

"Table 19" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distributions of Oblateness at cm energies 133, 161 and 172 GeV.

DN/DOBLATENESSE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringExclusiveSingle Differential DistributionJet Production133.0-172.0
researchProduct

Semantic Analysis of the Driving Environment in Urban Scenarios

2021

Understanding urban scenes require recognizing the semantic constituents of a scene and the complex interactions between them. In this work, we explore and provide effective representations for understanding urban scenes based on in situ perception, which can be helpful for planning and decision-making in various complex urban environments and under a variety of environmental conditions. We first present a taxonomy of deep learning methods in the area of semantic segmentation, the most studied topic in the literature for understanding urban driving scenes. The methods are categorized based on their architectural structure and further elaborated with a discussion of their advantages, possibl…

Deep LearningMotion Compensation[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Conduite AutonomeAttention VisuelleApprentissage ProfondSemantic SegmentationMoving Object DetectionDétection d'objets en MouvementVisual AttentionCompensation de MouvementAutonomous DrivingSegmentation Sémantique
researchProduct

"Table 3" of "Search for squarks and gluinos using final states with jets and missing transverse momentum with the ATLAS detector in sqrt(s) = 7 TeV …

2011

The distribution in Meff (scalar sum of the missing transverse momentum and the transverse momenta of the four highest pT jets) for events with at least 4 jets after the application of all selection criteria (other than the Meff cut itself). The table shows the number of observed data points per 100 GeV bin plus the background prediction of the Standard-Model Monte-Carlo and its upper and lower 1-sigma error limits uncertainty band.

Dijet ProductionInclusiveProton-Proton ScatteringP P --> JETS X7000.0Jet ProductionNNuclear Experiment
researchProduct

"Lund jet plane 1D" of "Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton collisions with the ATLAS detector"

2020

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for use in MC tuning.

DijetsD^2SIG/DZDRProton-Proton ScatteringHigh Energy Physics::ExperimentP P --> j jJet Substructure13000
researchProduct

"Lund jet plane 2D" of "Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton collisions with the ATLAS detector"

2020

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties

DijetsD^2SIG/DZDRProton-Proton ScatteringHigh Energy Physics::ExperimentP P --> j jJet Substructure13000
researchProduct

"Lund jet plane: horizontal slice, 5.13 < ln(1/z) < 5.41" of "Measurement of the Lund jet plane using charged particles in 13 TeV proton-proton…

2020

Normalized differential cross-section of the Lund jet plane. The first systematic uncertainty is detector systematics, the second is background systematic uncertainties. The data is presented as a 1D distribution, for a single horizontal slice of the Lund jet plane between 5.13 < ln(1/z) < 5.41.

DijetsD^2SIG/DZDRProton-Proton ScatteringP P --> j jJet Substructure13000
researchProduct