Search results for " Monte Carlo"

showing 10 items of 400 documents

The Large Hadron–Electron Collider at the HL-LHC

2021

The Large Hadron-Electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting energy-recovery technology, it collides a novel, intense electron beam with a proton or ion beam from the High-Luminosity Large Hadron Collider (HL-LHC). The accelerator and interaction region are designed for concurrent electron-proton and proton-proton operations. This report represents an update to the LHeC's conceptual design report (CDR), published in 2012. It comprises new results on the parton structure of the proton and heavier nuclei, QCD dynamics, and electroweak and top-quark physics. It is shown how the LH…

energy recoverylepton nucleus: scatteringparton: distribution functionhiukkasfysiikka7. Clean energy01 natural sciencesaccelerator physicsHigh Energy Physics - Phenomenology (hep-ph)HEAVY FLAVOR CONTRIBUTIONSenergy-recovery- linacNuclear Experimentcolliding beams [electron p]deep-inelastic scatteringtop and electroweak physicsnew physicsPhysicsSTRUCTURE-FUNCTION RATIOSMonte Carlo [numerical calculations]buildingsprimary [vertex]High Energy Physics - Phenomenologyelectron p: colliding beamskinematicsNuclear Physics - Theoryfinal state: hadronicp: distribution functionbeyond Standard Modelvertex: primarynumerical calculations: Monte Carlodistribution function [parton]High-lumiLHCSTRUCTURE-FUNCTION F-2(X[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]ion: beam[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesNuclear Theory (nucl-th)deep inelastic scatteringquantum chromodynamicsddc:530010306 general physicsdeep-inelastic scattering; high-lumi LHC; QCD; Higgs; top and electroweak physics; nuclear physics; beyond standard Model; energy-recovery- linac; accelerator physics010308 nuclear & particles physicshigh-lumi LHCresolutionscattering [electron p]structure function [nucleus]sensitivitybeam [electron]energy-recovery-linacHiggsacceptanceNuclear TheoryHIGH-ENERGY FACTORIZATIONdistribution function [p]density [parton]Higgs; High-lumi LHCHigh Energy Physics - Experimentdesign [detector]High Energy Physics - Experiment (hep-ex)electron: linear acceleratorelectron hadron: scatteringCERN LHC Coll: upgrade[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [electron hadron]FCCelectron: beamNuclear Experiment (nucl-ex)linear accelerator [electron]Nuclear ExperimentlatticesuperconductivityEnergy-recoverylinacBeyond Standard ModeNuclear physics; QCDelectron nucleus: colliding beamsparton: densitycolliding beams [electron nucleus]Particle Physics - ExperimentNUCLEON STRUCTURE FUNCTIONSNuclear and High Energy Physicsscattering [lepton nucleus]beam [ion]FOS: Physical sciencesnucleus: structure functionhadronic [final state]electron p: scatteringTRANSVERSE-MOMENTUM DEPENDENCEnuclear physics0103 physical sciencesNuclear Physics - Experimentstructureupgrade [CERN LHC Coll]detector: designParticle Physics - PhenomenologyDEEP-INELASTIC-SCATTERINGelectroweak interaction3-LOOP SPLITTING FUNCTIONSCLASSICAL RADIATION ZEROScalibrationAccelerators and Storage RingsQCDmagnethigh [current]13. Climate action[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]LHeCPhysics::Accelerator PhysicsJET CROSS-SECTIONSHigh Energy Physics::Experimentcurrent: highJournal of Physics G: Nuclear and Particle Physics
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The effect of heat treatment on the morphology and mobility of Au nanoparticles

2020

This work was supported by The Centre National de la Recherche Scientifique (CNRS) of France and the French Embassy Program. The authors are also grateful for partial support by COST Action CA15216, the Estonian Science Foundation (grants PUT1689 and PUT1372), the Estonian Centre of Excellence in Zero Energy and Resource Efficient Smart Buildings and Districts, ZEBE, grant 2014-2020.4.01.15.0016 and Latvian Science Council grant lzp-2018/2-0083.

fusionmeltingMaterials scienceAnnealing (metallurgy)General Physics and AstronomyNanoparticle02 engineering and technologylcsh:Chemical technology010402 general chemistrylcsh:Technology01 natural sciencesFull Research PaperLower energyAnnealing:NATURAL SCIENCES:Physics [Research Subject Categories]ManipulationNanotechnologylcsh:TP1-1185atomic force microscopy (AFM)General Materials ScienceKinetic Monte CarloElectrical and Electronic Engineeringlcsh:ScienceFusionlcsh:TAtomic force microscopyNanotribologynanotribologyMeltingDissipation021001 nanoscience & nanotechnologylcsh:QC1-9990104 chemical sciencesNanoscienceChemical engineeringAtomic force microscopy (AFM)microscopie à force atomique (AFM)manipulationNanotribologylcsh:Qannealing[CHIM.OTHE]Chemical Sciences/OtherAu nanoparticles0210 nano-technologynanoparticules d'Aulcsh:PhysicsBeilstein Journal of Nanotechnology
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Geometric Brownian Motion (GBM) of Stock Indexes and Financial Market Uncertainty in the Context of Non-Crisis and Financial Crisis Scenarios

2022

The present article proposes a methodology for modeling the evolution of stock market indexes for 2020 using geometric Brownian motion (GBM), but in which drift and diffusion are determined considering two states of economic conjunctures (states of the economy), i.e., non-crisis and financial crisis. Based on this approach, we have found that the GBM proved to be a suitable model for making forecasts of stock market index values, as it describes quite well their future evolution. However, the model proposed by us, modified geometric Brownian motion (mGBM), brings some contributions that better describe the future evolution of stock indexes. Evidence in this regard was provided by analyzing …

geometric Brownian motion; Monte Carlo simulation; entropy; financial crisis; financial marketsGeneral Mathematicsfinancial crisisComputer Science (miscellaneous)QA1-939geometric Brownian motionfinancial marketsentropyEngineering (miscellaneous)Monte Carlo simulationMathematicsMathematics
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First measurement of the Sivers asymmetry for gluons using SIDIS data

2017

The Sivers function describes the correlation between the transverse spin of a nucleon and the transverse motion of its partons. It was extracted from measurements of the azimuthal asymmetry of hadrons produced in semi-inclusive deep inelastic scattering of leptons off transversely polarised nucleon targets, and it turned out to be non-zero for quarks. In this letter the evaluation of the Sivers asymmetry for gluons in the same process is presented. The analysis method is based on a Monte Carlo simulation that includes three hard processes: photon-gluon fusion, QCD Compton scattering and leading-order virtual-photon absorption process. The Sivers asymmetries of the three processes are simul…

hadron: angular distributionmuon+: polarized beamNuclear TheoryPartonmuon+ deuteron: deep inelastic scatteringhadron: transverse momentumtransverse momentum dependence01 natural sciencesCOMPASSHigh Energy Physics - ExperimentSubatomär fysikSivers functionHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)photon gluon: fusionSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]partonNuclear Experimentmedia_commonQuantum chromodynamicsPhysicsgluon: distribution functiondeep inelastic scattering: semi-inclusive reactionhigher-order: 0polarized target: transversehep-phDeep inelastic scattering; Gluon; PDF; Sivers; TMD; Nuclear and High Energy Physicslcsh:QC1-999High Energy Physics - PhenomenologySivereffect: CollinsNucleonCompton scatteringnumerical calculations: Monte Carlospin: asymmetryParticle Physics - ExperimentDeep inelastic scatteringQuarkParticle physicsNuclear and High Energy Physicsdata analysis methoddeuteron: polarized targethadron: asymmetryangular distribution: asymmetryneural networkmedia_common.quotation_subjectpolarization: longitudinalFOS: Physical sciencesAsymmetryPDFGluonNuclear physics[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]0103 physical sciencesquantum chromodynamicsSivers010306 general physicsParticle Physics - Phenomenology010308 nuclear & particles physicshep-ex160 GeV/cHigh Energy Physics::PhenomenologyTMDnucleon: spin: transverseCERN SPSDeep inelastic scatteringGluonmuon+ p: deep inelastic scatteringcorrelation[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph][ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::Experimentabsorptionlcsh:PhysicsLeptonexperimental results
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Review of Particle Physics

2020

The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 2,143 new measurements from 709 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as supersymmetric particles, heavy bosons, axions, dark photons, etc. Particle properties and search limits are listed in Summary Tables. We give numerous tables, figures, formulae, and reviews of topics such as Higgs Boson Physics, Supersymmetry, Grand Unified Theories, Neutrino Mixing, Dark Energy, Dark Matter, Cosmology, Particle Detectors, Colliders, …

high energyleptonmixing [neutrino]High Energy Physics::LatticeCosmic microwave backgrounddiffractionTechnicolorAstrophysicsOmega01 natural sciencesPhysics Particles & Fieldshiggs-boson productionBig Bang nucleosynthesiscosmological model: parameter spacetaudark energyMonte CarlofieldspentaquarkinstrumentationSettore FIS/01gauge bosonAnomalous magnetic dipole momentdeep-inelastic scatteringnew physicsPhysicsDOUBLE-BETA-DECAYElectroweak interactiondensity [dark matter]HEAVY FLAVOURQuarkoniumreview; particle; physicsSUPERSYMMETRIC STANDARD MODELsquare-root-sPhysics Nucleargrand unified theoryboson: heavystatisticsPhysical SciencesHiggs bosonaxion: massflavor: violationNeutrinoELECTROWEAK SYMMETRY-BREAKINGnumerical calculations: Monte Carlophysicson-lineS013EPHQuarkheavy [boson]particle[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]Physics Multidisciplinaryanomalous magnetic-momentelectroweak radiative-correctionsdark matter: densityHiggs particlemesonneutrino masses neutrino mixing; neutrino oscillations114 Physical sciencesCHIRAL PERTURBATION-THEORYneutrino mixingStandard Modelquark0202 Atomic Molecular Nuclear Particle And Plasma PhysicsNucleosynthesisquantum chromodynamicsCP: violationDark matterddc:530particle physicsStrong Interactions010306 general physicssparticleS013DFgrand unified theoriesPRODUCTIONGauge bosonScience & Technologyneutrino oscillationsneutrino masses010308 nuclear & particles physicsC50 Other topics in experimental particle physicsParticle Data GroupAstronomy and AstrophysicsDeep inelastic scatteringto-leading-order* Automatic Keywords *heavy bosonaxiontables (particle physics)Tetraquarkproton-proton collisionsSupersymmetryhadronneutrino: mixing[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]cosmologyVolume (compression)HIGGS-BOSONUB-VERTICAL-BARcosmological modeldark energy densityexperimental methodsddc:539.72021Physics beyond the Standard Modelstandard modelgroup theoryGeneral Physics and Astronomytables particle physicshigh energy physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Quantum chromodynamicsPhysicsenergy: highE Rev 2016[PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th]Settore FIS/01 - Fisica SperimentalephotonSupersymmetryNuclear & Particles Physicsparameter space [cosmological model]dark energy: densityhigh [energy]M013WXfermion-pair productionNuclear and High Energy PhysicsParticle physicsHiggs bosonreviewAstrophysics::Cosmology and Extragalactic AstrophysicsAstronomy & Astrophysics530dark matterstatistical analysisDouble beta decay0103 physical sciencesconservation lawcold dark-matterTAU LEPTONSAstrophysics::Galaxy AstrophysicstablesDEEP-INELASTIC-SCATTERINGelectroweak interactionHigh Energy Physics::Phenomenology750 GeV diphoton excessPRODUCTION CROSS-SECTIONbaryondensity [dark energy]Physics and AstronomygravitationCKM matrix[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::ExperimentsupersymmetryMinimal Supersymmetric Standard Model
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EPR/ALANINE PELLETS WITH LOW Gd CONTENT FOR NEUTRON DOSIMETRY

2013

This paper reports on results obtained by electron paramagnetic resonance (EPR) measurements and Monte Carlo (MC) simulation on a blend of alanine added with low content of gadolinium oxide (5 % by weight) to improve the sensitivity to thermal neutron without excessively affecting tissue equivalence. The sensitivity is enhanced by this doping procedure of more an order of magnitude. The results are compared with those obtained with the addition of boric acid (50 % by weight) where boron is in its natural isotopic composition in order to produce low-cost EPR dosemeters. The gadolinium addition influences neutron sensitivity more than the boron addition. The presence of additives does not sub…

inorganic chemicalsMaterials scienceGadoliniumAnalytical chemistrychemistry.chemical_elementGadoliniumRadiation Dosagelaw.inventionBoric acidchemistry.chemical_compoundBoric AcidsIsotopeslawRadiology Nuclear Medicine and imagingNeutronIrradiationBoronElectron paramagnetic resonanceRadiometryNeutronsRadiationAlanineRadiological and Ultrasound Technologybusiness.industryElectron paramagnetic resonance (EPR) alanine pellet gadolinium Monte Carlo (MC) simulation dosimetryDopingtechnology industry and agriculturePublic Health Environmental and Occupational HealthElectron Spin Resonance SpectroscopyGeneral MedicineNeutron temperatureSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)chemistryNuclear medicinebusinessMonte Carlo Method
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Atomistic Insights into Nitrogen-Cycle Electrochemistry: A Combined DFT and Kinetic Monte Carlo Analysis of NO Electrochemical Reduction on Pt(100)

2017

Electrocatalytic denitrification is a promising technology for the removal of NOx species in groundwater. However, a lack of understanding of the molecular pathways that control the overpotential and product distribution have limited the development of practical electrocatalysts, and additional atomic-level insights are needed to advance this field. Adsorbed NO has been identified as a key intermediate in the NOx electroreduction network, and the elementary steps by which it decomposes to NH4+, N2, NH3OH+, or N2O remain a subject of debate. Herein, we report a combined density functional theory (DFT) and kinetic Monte Carlo (kMC) study of this reaction on Pt(100), a catalytic surface that i…

inorganic chemicalsProtonation02 engineering and technologyOverpotential010402 general chemistryElectrocatalyst01 natural sciencesCatalysisReaction rateelektrokatalyysiComputational chemistryelectrocatalysisKinetic Monte Carlota116density functional theorykinetic Monte CarloNOxta114ChemistrytiheysfunktionaaliteoriaGeneral ChemistryNO electroreduction021001 nanoscience & nanotechnologyProduct distribution0104 chemical sciencesPt(100)Density functional theory0210 nano-technologyACS Catalysis
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Insights into the derivative-based method for nonlinear mediation models

2022

Associational mediation analysis has generally relied on the linearity of models to estimate the indirect effect as a product of regression coefficients. Very few examples of generalisations to nonlinear settings have been proposed, including a derivative-based method that, however, is far from being widely spread among scholars. In this paper, we clarify some aspects of such an approach to nonlinear mediation models, which have not been addressed by the previous literature. In addition, we run a simulation study to compare confidence intervals for the indirect effect obtained through different approaches.

mediation analysis derivative method generalised linear models bootstrap Monte Carlo method Bayesian statisticsSettore SECS-S/01 - Statistica
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A Monte Carlo-aided design of a modular 241Am-Be neutron irradiator

2013

Monte Carlo studies aimed at designing a modular 241Am-Be neutron irradiator for testing neutron detectors and personal dosimeters and processing large volume samples are reported in this study. The evaluation of the shapes and thicknesses of the moderator and shielding materials was carried out by a MCNP5 Monte Carlo simulation code. The reliability of the simulation was experimentally verified by the activation of gold foils and TLD dosimeter measurements in an irradiation cell placed at the center of the test configuration.

medicine.medical_specialtySettore ING-IND/20 - Misure E Strumentazione NucleariPhysics::Instrumentation and DetectorsNuclear engineeringMonte Carlo methodPhysics::Medical PhysicsReliability (semiconductor)medicineNeutron detectionNeutronMedical physicslcsh:Nuclear and particle physics. Atomic energy. RadioactivitySafety Risk Reliability and Quality241Am-Be sourcePhysicsDosimeterbusiness.industryModular designMonte Carlo methodNuclear Energy and Engineeringneutron irradiator 241Am-Be source Monte Carlo methodElectromagnetic shieldingneutron irradiatorlcsh:QC770-798Thermoluminescent dosimeterbusinessNuclear Technology and Radiation Protection
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Herramientas matemáticas para la valoración de la ampliación de una infraestructura portuaria

2003

infraestructura portuaria ya consolidada, que conlleva unas inversiones a largo plazo. Para ello hay que recurrir a medios de an´alisis capaces de recoger, en la medida de lo posible, la incertidumbre sobre la futura evoluci´on de los tr´aficos de mercanc´?as, sobre el efecto de la competencia entre puertos, etc., y que los m´etodos tradicionales no aproximan en toda su dimensi´on. Existe, adem´as, un problema de decisi´on de pol´?tica ´optima de gesti´on del proyecto que depende de variables de decisi´on que modelizan las opciones presentes en el mismo. Las oportunidades de inversi´on han sido tratadas como una colecci´on de opciones americanas sobre activos reales. Nosotros hemos optado p…

metaheuristicsEcuaciones estocásticasMaterials Science (miscellaneous)lcsh:Mathematicsmétodos de Monte Carlométodos metaheurísticosBusiness and International Managementlcsh:QA1-939Stochastic equationsMonte Carlo simulationIndustrial and Manufacturing EngineeringRevista de Matemática: Teoría y Aplicaciones
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