Search results for "Carlo"

showing 10 items of 1845 documents

Monte Carlo simulation of the response of ESR dosimeters added with gadolinium exposed to thermal, epithermal and fast neutrons

2009

Abstract Monte Carlo numerical calculations of the response of alanine and ammonium tartrate ESR (electron spin resonance) dosimeters exposed to neutron fields with different energy spectra are reported. Results have been obtained for various gadolinium concentrations inside the dosimeters. Furthermore, in order to simulate the in-phantom response we have carried out calculations by varying the depth of the dosimeter. We have found that a large enhancement is obtained for thermal neutrons, because of the very high capture cross section of gadolinium to thermal neutrons. A good enhancement was obtained for epithermal neutrons, whereas the sensitivity improvement in the case of fast neutron i…

Astrophysics::High Energy Astrophysical PhenomenaGadoliniumPhysics::Medical PhysicsMonte Carlo methodchemistry.chemical_elementGadoliniumSpectral lineFast NeutronsHumansDosimetryNeutronRadiometryNuclear ExperimentTartratesAlanineRadiationDosimeterPhantoms ImagingRadiotherapy Planning Computer-AssistedESR dosimetry gadolinium neutronsRadiochemistryElectron Spin Resonance SpectroscopyNeutron Capture TherapyNeutron temperatureNeutron capturechemistryAtomic physicsMonte Carlo MethodApplied Radiation and Isotopes
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Search for muon neutrinos from gamma-ray bursts with the ANTARES neutrino telescope using 2008 to 2011 data

2013

Aims. We search for muon neutrinos in coincidence with GRBs with the ANTARES neutrino detector using data from the end of 2007 to 2011. Methods. Expected neutrino fluxes were calculated for each burst individually. The most recent numerical calculations of the spectra using the NeuCosmA code were employed, which include Monte Carlo simulations of the full underlying photohadronic interaction processes. The discovery probability for a selection of 296 GRBs in the given period was optimised using an extended maximum-likelihood strategy. Results. No significant excess over background is found in the data, and 90% confidence level upper limits are placed on the total expected flux according to …

Astrophysics::High Energy Astrophysical PhenomenaNeutrino telescopeMonte Carlo methodgamma-ray burst: generalFOS: Physical sciencesddc:500.201 natural sciencesCoincidenceSpectral lineGamma ray burstsmethods: numericalNuclear physicsneutrinoHigh Energy Physics - Phenomenology (hep-ph)Raigs gamma0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]NeutrinsNeutrinos010303 astronomy & astrophysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Physics:Desenvolupament humà i sostenible [Àrees temàtiques de la UPC]Muonnumerical [Methods]010308 nuclear & particles physicsneutrinosAstronomy and Astrophysicsgeneral [Gamma-ray burst]neutrinos - gamma-ray burst: general - methods: numerical; methods: numerical; neutrinos; gamma-ray burst: generalHigh Energy Physics - PhenomenologyGamma-ray burst: general; Methods: numerical; NeutrinosNeutrino detectorSpace and Planetary ScienceFISICA APLICADAFísica nuclearHigh Energy Physics::ExperimentNeutrinoneutrinos - gamma-ray burst: general - methods: numericalGamma-ray burstAstrophysics - High Energy Astrophysical Phenomena[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Charged-particle multiplicities in pp interactions measured with the ATLAS detector at the LHC

2011

Measurements are presented from proton–proton collisions at centre-of-mass energies of \sqrt{s} = 0.9 , 2.36 and 7 TeV recorded with the ATLAS detector at the LHC. Events were collected using a single-arm minimum-bias trigger. The charged-particle multiplicity, its dependence on transverse momentum and pseudorapidity and the relationship between the mean transverse momentum and charged-particle multiplicity are measured. Measurements in different regions of phase space are shown, providing diffraction-reduced measurements as well as more inclusive ones. The observed distributions are corrected to well-defined phase-space regions, using model-independent corrections. The results are compared…

Atlas detectorMonte Carlo methodLarge hadron colliderNuclear physicsGeneral Physics and Astronomy01 natural sciencesTransverse-Momentum SpectraHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)Pseudorapidity[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]CollisionsQANuclear ExperimentTransverse momentumQCPhysicsLarge Hadron ColliderPhysicsSettore FIS/01 - Fisica SperimentaleParticle physicsATLAS detector; LHC; pp collisionsATLASSquare-Root-SMonte carlo methodCharged particle3. Good healthPseudorapidityddc:540ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGTsallis distributionFísica nuclearDistributionsLHCpp collisionsParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências FísicasAtlas detector:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesCharged particleInclusive production with identified hadronsPhase spaceddc:500.2530Nuclear physics0103 physical sciencesddc:530High Energy Physics010306 general physicsATLAS detector010308 nuclear & particles physicsFísicaMultiplicity (mathematics)Perturbative calculationsMultiplicity (mathematics)pp interactions; LHC; ATLAS detectorPhase spaceHADRON-HADRON COLLISIONSExperimental High Energy PhysicsCM EnergiesTevHigh Energy Physics::ExperimentCollider
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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
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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
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Retrieval of atmospheric CH4profiles from Fourier transform infrared data using dimension reduction and MCMC

2016

We introduce an inversion method that uses dimension reduction for the retrieval of atmospheric methane (CH4) profiles. Uncertainty analysis is performed using the Markov chain Monte Carlo (MCMC) statistical estimation. These techniques are used to retrieve CH4 profiles from the ground-based spectral measurements by the Fourier Transform Spectrometer (FTS) instrument at Sodankyla (67.4 degrees N, 26.6 degrees E), Northern Finland. The Sodankyla FTS is part of the Total Carbon Column Observing Network (TCCON), a global network that observes solar spectra in near-infrared wavelengths. The high spectral resolution of the data provides approximately 3 degrees of freedom about the vertical struc…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceDegrees of freedom (statistics)Inverse transform samplingMarkov chain Monte CarloInverse problem01 natural sciences010104 statistics & probabilitysymbols.namesakeGeophysicsFourier transformSpace and Planetary SciencePrincipal component analysisEarth and Planetary Sciences (miscellaneous)symbols0101 mathematicsTotal Carbon Column Observing NetworkUncertainty analysis0105 earth and related environmental sciencesRemote sensingJournal of Geophysical Research: Atmospheres
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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
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Bayesian dynamic modeling of time series of dengue disease case counts

2017

The aim of this study is to model the association between weekly time series of dengue case counts and meteorological variables, in a high-incidence city of Colombia, applying Bayesian hierarchical dynamic generalized linear models over the period January 2008 to August 2015. Additionally, we evaluate the model’s short-term performance for predicting dengue cases. The methodology shows dynamic Poisson log link models including constant or time-varying coefficients for the meteorological variables. Calendar effects were modeled using constant or first- or second-order random walk time-varying coefficients. The meteorological variables were modeled using constant coefficients and first-order …

Atmospheric ScienceMeteorological ConceptsUrban PopulationEpidemiologyRainPoisson distributionGeographical locationsDengueMathematical and Statistical Techniques0302 clinical medicineStatisticsMedicine and Health Sciences030212 general & internal medicineAtmospheric DynamicsMathematicsMathematical Modelslcsh:Public aspects of medicinePhysicsElectromagnetic RadiationRandom walkDeviance information criterionGeophysicsInfectious DiseasesMean absolute percentage errorPhysical SciencessymbolsSolar RadiationStatistics (Mathematics)Research ArticleGeneralized linear modelConstant coefficientslcsh:Arctic medicine. Tropical medicinelcsh:RC955-962030231 tropical medicineColombiaDisease SurveillanceResearch and Analysis Methods03 medical and health sciencessymbols.namesakeMeteorologyHumansStatistical MethodsCitiesModel selectionPublic Health Environmental and Occupational Healthlcsh:RA1-1270HumidityBayes TheoremMarkov chain Monte CarloSouth AmericaAtmospheric PhysicsRandom WalkEarth SciencesPeople and placesMathematicsForecastingPLOS Neglected Tropical Diseases
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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
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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
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