Search results for "Monte Carlo method."

showing 10 items of 1217 documents

ATLAS measurements of the properties of jets for boosted particle searches

2012

Measurements are presented of the properties of high transverse momentum jets, produced in proton-proton collisions at a center-of-mass energy of √s=7  TeV. The data correspond to an integrated luminosity of 35  pb−1 and were collected with the ATLAS detector in 2010. Jet mass, width, eccentricity, planar flow and angularity are measured for jets reconstructed using the anti-kt algorithm with distance parameters R=0.6 and 1.0, with transverse momentum pT>300  GeV and pseudorapidity |η|<2. The measurements are compared to the expectations of Monte Carlo generators that match leading-logarithmic parton showers to leading-order, or next-to-leading-order, matrix elements. The generators describ…

Atlas detectorMonte Carlo methodParton7. Clean energy01 natural sciencesNucleonHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear ExperimentNUCLEONATLAS; jets; boostedQCDetectors de radiacióQuantum chromodynamicsPhysicsLarge Hadron ColliderAcceleradors de partículesSettore FIS/01 - Fisica SperimentaleATLASINCLUSIVE JET CROSS SECTIONLarge Hadron ColliderPseudorapidityTransverse momentumComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCFRAGMENTATIONNucleonParticle Physics - ExperimentjetsNuclear and High Energy PhysicsParticle physicsCiências Naturais::Ciências Físicas530 PhysicsAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Partícules (Física nuclear)Proton-proton collisionsNuclear physics0103 physical sciencesddc:530High Energy Physics010306 general physicsCiencias ExactasScience & TechnologyATLAS detector010308 nuclear & particles physicsFísicaMODELHADRON-HADRON COLLISIONSCol·lisions (Física nuclear)PARTON DISTRIBUTIONSExperimental High Energy PhysicsHigh Energy Physics::ExperimentModel
researchProduct

A convolution of observational and model data to estimate age of air spectra in the northern hemispheric lower stratosphere

2020

Abstract. Derivation of mean age of air (AoA) and age spectra from atmospheric measurements remains a challenge and often requires data from atmospheric models. This study tries to minimize the direct influence of model data and presents an extension and application of a previously established inversion method to derive age spectra from mixing ratios of long- and short-lived trace gases. For a precise description of cross-tropopause transport processes, the inverse method is extended to incorporate air entrainment into the stratosphere across the tropical and extratropical tropopause. We first use simulations with the Chemical Lagrangian Model of the Stratosphere (CLaMS) to provide a genera…

Atmospheric Science010504 meteorology & atmospheric sciencesAtmospheric modelsMonte Carlo methodInverse transform samplingEntrainment (meteorology)010502 geochemistry & geophysicsAtmospheric sciences01 natural scienceslcsh:QC1-999Trace gaslcsh:ChemistryTroposphereEarth scienceslcsh:QD1-999ddc:550Environmental scienceTropopauseStratospherelcsh:Physics0105 earth and related environmental sciences
researchProduct

Depth selective Mössbauer spectroscopy: Analysis and simulation of 6.4 keV and 14.4 keV spectra obtained from rocks at Gusev Crater, Mars, and layere…

2008

[1] The miniaturized Mossbauer spectrometer (MIMOS) II Mossbauer spectrometers on the Mars Exploration Rovers (MER) simultaneously obtained 6.4 keV and 14.4 keV Mossbauer spectra from rock and soil targets. Because photons with lower energy have a shallower penetration depth, 6.4 keV spectra contain more mineralogical information about the near-surface region of a sample than do 14.4 keV spectra. The influence of surface layers of varying composition and thickness on Mossbauer spectra was investigated by Monte Carlo simulation and by measurement using a copy of the MER MIMOS II instrument and samples with one or two layers of known thicknesses. Thin sections of minerals or metallic Fe foil …

Atmospheric ScienceMaterials scienceMonte Carlo methodSoil ScienceMineralogyAquatic Scienceengineering.materialOceanographyPhysics::GeophysicsGeochemistry and PetrologyMössbauer spectroscopyEarth and Planetary Sciences (miscellaneous)Surface layerPenetration depthEarth-Surface ProcessesWater Science and TechnologyThin layersOlivineEcologySpectrometerPaleontologyForestryMars Exploration ProgramGeophysicsSpace and Planetary ScienceengineeringJournal of Geophysical Research
researchProduct

Effects of dead time losses on terrestrial gamma ray flash measurements with the Burst and Transient Source Experiment

2010

[1] Measurements from the Burst and Transient Source Experiment (BATSE) instrument on the Compton Gamma Ray Observatory (CGRO) are the only ones where characteristics of single terrestrial gamma ray flashes (TGFs) have been obtained thus far. However, it has been reported that the measurements suffer from significant dead time losses which complicates the analysis and raises question about earlier BATSE studies. These losses are due to the high-intensity flux combined with limitations of the time resolution of the instrument. Since these losses will affect both the spectrum and the temporal distribution of the individual TGFs, results based on BATSE data need to be revisited, including our …

Atmospheric SciencePhotonMonte Carlo methodSoil ScienceFluxAstrophysicsAquatic ScienceOceanographyOpticsGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Earth-Surface ProcessesWater Science and TechnologyPhysicsEcologybusiness.industryGamma rayPaleontologyForestryDead timeLight curveGeophysicsSpace and Planetary ScienceTransient (oscillation)businessTerrestrial gamma-ray flashJournal of Geophysical Research: Space Physics
researchProduct

2017

Abstract. We present a Monte Carlo genetic algorithm (MCGA) for efficient, automated, and unbiased global optimization of model input parameters by simultaneous fitting to multiple experimental data sets. The algorithm was developed to address the inverse modelling problems associated with fitting large sets of model input parameters encountered in state-of-the-art kinetic models for heterogeneous and multiphase atmospheric chemistry. The MCGA approach utilizes a sequence of optimization methods to find and characterize the solution of an optimization problem. It addresses an issue inherent to complex models whose extensive input parameter sets may not be uniquely determined from limited in…

Atmospheric ScienceSequenceMathematical optimizationOptimization problem010504 meteorology & atmospheric sciencesMonte Carlo methodInverseParameter space010402 general chemistry01 natural sciences0104 chemical sciencesSet (abstract data type)Genetic algorithmGlobal optimizationAlgorithm0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
researchProduct

Pumps as turbines (PATs) in water distribution networks affected by intermittent service

2013

A hydraulic model was developed in order to evaluate the potential energy recovery from the use of centrifugal pumps as turbines (PATs) in a water distribution network characterized by the presence of private tanks. The model integrates the Global Gradient Algorithm (GGA), with a pressure-driven model that permits a more realistic representation of the influence on the network behaviour of the private tanks filling and emptying. The model was applied to a real case study: a District Metered Area in Palermo (Italy). Three different scenarios were analysed and compared with a baseline scenario (Scenario 0 – no PAT installed) to identify the system configuration with added PATs that permits th…

Atmospheric ScienceService (systems architecture)geographyEngineeringgeography.geographical_feature_categorybusiness.industryNode (networking)Monte Carlo methodGeotechnical Engineering and Engineering GeologyCentrifugal pumpInletpressure-driven demandenergy productionwater distribution networkshydraulic modellingNetwork performancepump as turbineBaseline (configuration management)businessDownstream (networking)SimulationCivil and Structural EngineeringWater Science and TechnologyMarine engineeringJournal of Hydroinformatics
researchProduct

Ca impurity in small mixed He-4-He-3 clusters

2009

The structure of small mixed helium clusters doped with one calcium atom has been determined within the diffusion Monte Carlo framework. The results show that the calcium atom sits at the He-4-He-3 interface. This is in agreement with previous studies, both experimental and theoretical, performed for large clusters. A comparison between the results obtained for the largest cluster we have considered for each isotope shows a clear tendency of the Ca atom to reside in a deep dimple at the surface of the cluster for He-4 clusters, and to become fully solvated for He-3 clusters. We have calculated the absorption spectrum of Ca around the 4s4p <- 4s(2) transition and have found that it is bluesh…

Atomic clustersFísicaCalciumMonte Carlo methodsPhysics::Atomic Physicsheliumimpurity absorption spectraquantum fluidsimpurities
researchProduct

Decomposing and Interpreting Spatial Effects in Spatio-Temporal Analysis: Evidences for Spatial Data Pooled Over Time

2017

Empirical applications using individual spatial data pooled over time usually neglect the fact that such data are not only spatially localized: they are also collected over time, i.e. temporally localized. So far, little effort has been devoted to proposing a global way for dealing with spatial data (cross-section) pooled over time, such as real estate transactions, business start-up, crime and so on. However, the spatial effect, in such a context, can be decomposed in two different components: a multidirectional spatial effect (same time period) and a unidirectional spatial effect (previous time period). Based on real estate literature, this chapter presents different spatio-temporal autor…

Autoregressive modelComputer scienceAutoregressive coefficientsMonte Carlo methodSpatio-Temporal AnalysisEconometricsReal estateSpatial econometricsContext (language use)Data miningcomputer.software_genrecomputerSpatial analysis
researchProduct

Coupling between criticality and gelation in "sticky" spheres: a structural analysis.

2018

We combine experiments and simulations to study the link between criticality and gelation in sticky spheres. We employ confocal microscopy to image colloid-polymer mixtures and Monte Carlo simulations of the square-well (SW) potential as a reference model. To this end, we map our experimental samples onto the SW model. We find an excellent structural agreement between experiments and simulations, both for locally favored structures at the single particle level and large-scale fluctuations at criticality. We follow in detail the rapid structural change in the critical fluid when approaching the gas-liquid binodal and highlight the role of critical density fluctuations for this structural cro…

BinodalCouplingMaterials scienceSpinodal decompositionMonte Carlo methodFOS: Physical sciences02 engineering and technologyGeneral ChemistryCondensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesCondensed Matter::Soft Condensed MatterCriticalityStructural changeChemical physics0103 physical sciencesParticleSoft Condensed Matter (cond-mat.soft)SPHERES010306 general physics0210 nano-technologySoft matter
researchProduct

Monte Carlo Study of Critical Point Shifts in Thin Films

2000

We report preliminary results of Monte Carlo simulations of critical point shifts in thin slit-like capillaries. By making use of the isomorphism with an Ising model subject to bulk and surface fields and employing a multi-cluster update algorithm with ghost-spin term we obtain the coexistence curve and the behavior at the critical point for various film thicknesses D.

BinodalMaterials scienceCondensed matter physicsSurface fieldCritical point (thermodynamics)Monte Carlo methodIsing modelThin film
researchProduct