Search results for "Monopole"

showing 10 items of 76 documents

Search for Magnetic Monopoles with the MoEDAL Forward Trapping Detector in 13 TeV Proton-Proton Collisions at the LHC

2017

MoEDAL is designed to identify new physics in the form of long-lived highly-ionising particles produced in high-energy LHC collisions. Its arrays of plastic nuclear-track detectors and aluminium trapping volumes provide two independent passive detection techniques. We present here the results of a first search for magnetic monopole production in 13 TeV proton-proton collisions using the trapping technique, extending a previous publication with 8 TeV data during LHC run-1. A total of 222 kg of MoEDAL trapping detector samples was exposed in the forward region and analysed by searching for induced persistent currents after passage through a superconducting magnetometer. Magnetic charges excee…

Magnetic monopolesProtonMagnetismPhysics beyond the Standard ModelGeneral Physics and Astronomy01 natural sciences7. Clean energyHigh Energy Physics - Experimentlaw.inventionCOLLIDERHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)STOPPING-POWERlawPhysics02 Physical SciencesLarge Hadron ColliderSTABLE MASSIVE PARTICLESPhysicsMagnetismDrell–Yan processhep-phPersistent currents3. Good healthHigh Energy Physics - PhenomenologyPhysical SciencesELECTROWEAK MONOPOLEParticle Physics - ExperimentGeneral PhysicsMagnetometerPhysics MultidisciplinaryMagnetic monopoleFOS: Physical sciencesNuclear track detector114 Physical sciencesNuclear physicsPhysics and Astronomy (all)Tellurium compoundsHigh energy physics Magnetism Magnetometers Highly ionizing particles Magnetic charges Magnetic monopoles Nuclear track detector Passive detection Persistent currents Proton proton collisions Trapping techniques Tellurium compounds0103 physical sciencesHigh energy physics010306 general physicsColliderIONIZING PARTICLESScience & TechnologyProton proton collisionshep-ex010308 nuclear & particles physicsMagnetometers Highly ionizing particlesMagnetic chargesTrapping techniquesPassive detectionSTATES
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Electromagnetic properties of low-lying states in neutron-deficient Hg isotopes: Coulomb excitation of Hg-182, Hg-184, Hg-186 and Hg-188

2019

The neutron-deficient mercury isotopes serve as a classical example of shape coexistence, whereby at low energy near-degenerate nuclear states characterized by different shapes appear. The electromagnetic structure of even-mass 182-188 Hg isotopes was studied using safe-energy Coulomb excitation of neutron-deficient mercury beams delivered by the REX-ISOLDE facility at CERN. The population of $ 0^{+}_{1,2}$01,2+, $ 2^{+}_{1,2}$21,2+and $ 4^{+}_{1}$41+states was observed in all nuclei under study. Reduced E2 matrix elements coupling populated yrast and non-yrast states were extracted, including their relative signs. These are a sensitive probe of shape coexistence and may be used to validate…

MomentsIntruder01 natural sciencesMOMENTSNuclear ExperimentPhysicseducation.field_of_studyYrastBohr modelLIFETIMESddc:Mean field theorysymbolsFísica nuclearAtomic physicsydinfysiikkaConfigurationNuclear and High Energy PhysicsELECTRIC-MONOPOLE TRANSITIONS3106PopulationElectric-monopole transitionsDEFORMED BANDSLifetimesCoulomb excitationNUCLEAR[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencessymbols.namesakeIsomerismSHAPE COEXISTENCE0103 physical sciencesNuclear fusionNuclear Physics - ExperimentNeutronNuclear010306 general physicseducationCONFIGURATIONDeformed bands010308 nuclear & particles physicsINTRUDERShape coexistence2207 Física Atómica y NuclearDecayPhysics and Astronomy13. Climate actionISOMERISMInteracting boson modelDECAY
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"Table 3" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Observed 95% confidence-level upper limits on the cross section for Drell-Yan spin-1/2 monopole production as a function of mass for magnetic charges $|g|=1g_D$ and $|g|=2g_D$.

Monopole13000.0CLSNuclear TheoryHigh Energy Physics::PhenomenologyP P --> M M XDrell-YanHigh Energy Physics::ExperimentCross Section Limit
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"Table 1" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Observed 95% confidence-level upper limits on the cross section for Drell-Yan spin-0 monopole production as a function of mass for magnetic charges $|g|=1g_D$ and $|g|=2g_D$.

Monopole13000.0CLSNuclear TheoryHigh Energy Physics::PhenomenologyP P --> M M XDrell-YanHigh Energy Physics::ExperimentCross Section LimitNuclear Experiment
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"Table 14" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=2g_\textrm{D}$ monopoles of mass 500 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 19" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=2g_\textrm{D}$ monopoles of mass 3000 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 17" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=2g_\textrm{D}$ monopoles of mass 2000 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 10" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=1g_\textrm{D}$ monopoles of mass 2500 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 16" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=2g_\textrm{D}$ monopoles of mass 1500 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 20" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=2g_\textrm{D}$ monopoles of mass 4000 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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