Search results for " SIMULATIONS"

showing 10 items of 243 documents

Scaling laws in the distribution of galaxies

2004

Research done during the previous century established our Standard Cosmological Model. There are many details still to be filled in, but few would seriously doubt the basic premise. Past surveys have revealed that the large-scale distribution of galaxies in the Universe is far from random: it is highly structured over a vast range of scales. To describe cosmic structures, we need to build mathematically quantifiable descriptions of structure. Identifying where scaling laws apply and the nature of those scaling laws is an important part of understanding which physical mechanisms have been responsible for the organization of clusters, superclusters of galaxies and the voids between them. Find…

PhysicsStructure (mathematical logic)EXTRA-GALACTIC NEBULAEMICROWAVE BACKGROUND-RADIATIONCOSMIC cancer databaseCold dark matterAstrophysics (astro-ph)Cosmic microwave backgroundCAMPANAS REDSHIFT SURVEY2-POINT CORRELATION-FUNCTIONFOS: Physical sciencesGeneral Physics and AstronomyAstrophysicsN-BODY SIMULATIONSAstrophysicsPOINT CORRELATION-FUNCTIONSGalaxyCOLD DARK-MATTERFractalPROBE WMAP OBSERVATIONSDIGITAL SKY SURVEYPEAK-PATCH PICTUREStatistical physicsScalingGalaxy clusterReviews of Modern Physics
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Memory expansion for diffusion coefficients

1998

We present a memory expansion for macroscopic transport coefficients such as the collective and tracer diffusion coefficients ${D}_{C}$ and ${D}_{T},$ respectively. The successive terms in this expansion for ${D}_{C}$ describe rapidly decaying memory effects of the center-of-mass motion, leading to fast convergence when evaluated numerically. For ${D}_{T},$ one obtains an expansion of similar form that contains terms describing memory effects in single-particle motion. As an example we evaluate ${D}_{C}$ and ${D}_{T}$ for three strongly interacting surface systems through Monte Carlo simulations, and for a simple model diffusion system via molecular dynamics calculations. We show that the n…

PhysicsSurface (mathematics)SpeedupNumerical analysisPhysicsMonte Carlo methodmacroscopic transport coefficients02 engineering and technology021001 nanoscience & nanotechnologysurface systems01 natural sciencesMonte Carlo simulationsMolecular dynamics0103 physical sciencesConvergence (routing)numerical methodsDiffusion (business)010306 general physics0210 nano-technologyOrder of magnitudeMathematical physicsmemory expansions
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Quantifying Artifacts in Ewald Simulations of Inhomogeneous Systems with a Net Charge

2014

Ewald summation, which has become the de facto standard for computing electrostatic interactions in biomolecular simulations, formally requires that the simulation box is neutral. For non-neutral systems the Ewald algorithm implicitly introduces a uniform background charge distribution that e ectively neutralizes the simulation box. Because a uniform distribution of counter charges typically deviates from the spatial distribution of counterions in real systems, artifacts may arise, in particular in systems with an inhomogeneous dielectric constant. Here we derive an analytical expression for the e ect of using an implicit background charge instead of explicit counterions, on the chemical po…

PhysicsUniform distribution (continuous)010304 chemical physicsCharge densityCharge (physics)02 engineering and technologyDielectricEwald simulations021001 nanoscience & nanotechnologyElectrostatics01 natural sciencesEwald summationComputer Science ApplicationsMolecular dynamicsinhomogeneous systems0103 physical sciencesStatistical physicsPhysical and Theoretical ChemistryTest particle0210 nano-technologyta116SimulationJournal of Chemical Theory and Computation
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Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run

2013

This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Triggerrate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are …

Physics::Instrumentation and DetectorsAccelerator modelling and simulations; multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamicsPROTON BEAMSMonte Carlo methodsingle-particle dynamics01 natural sciencesaccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)MUON DETECTORcluster findingPIXEL DETECTORSNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderPattern recognition cluster finding calibration and fitting methodsAccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)Settore FIS/01 - Fisica SperimentaleObservableATLAScalibration and fitting methodsAccelerator modelling and simulationsCalorimetermedicine.anatomical_structureBunchesAccelerator Modelling and Simulations (Multi-Particle Dynamics Single-Particle Dynamics)Analysis and statistical methodsLHCmulti-particle dynamicsNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas530 PhysicsInstrumentationCALORIMETERS:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicssingle-particle dynamics)Atlas (anatomy)Pattern recognition0103 physical sciencesmedicineAccelerator modelling and simulations (multi-particle dynamics single-particle dynamics)High Energy Physicspattern recognition; cluster finding; calibration and fitting methods; single-particle dynamics); analysis and statistical methods; accelerator modelling and simulations (multi-particle dynamics; performance of high energy physics detectorsddc:610010306 general physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsCluster findingFísicaAccelerator modelling and simulations (multi-particle dynamicsAccelerator modelling and simulations (multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamics); Instrumentation; Mathematical PhysicsExperimental High Energy PhysicsPattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors; Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics); Analysis and statistical methodsPhysics::Accelerator PhysicsPerformance of High Energy Physics DetectorsEvent (particle physics)
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A measurement of material in the ATLAS tracker using secondary hadronic interactions in 7 TeV pp collisions

2016

Knowledge of the material in the ATLAS inner tracking detector is crucial in understanding the reconstruction of charged-particle tracks, the performance of algorithms that identify jets containing b-hadrons and is also essential to reduce background in searches for exotic particles that can decay within the inner detector volume. Interactions of primary hadrons produced in pp collisions with the material in the inner detector are used to map the location and amount of this material. The hadronic interactions of primary particles may result in secondary vertices, which in this analysis are reconstructed by an inclusive vertex-finding algorithm. Data were collected using minimum-bias trigger…

Physics::Instrumentation and DetectorsCiencias FísicasHadronsecondary [vertex]01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]of photons with matter interaction of hadrons with matter etc)tracking detectorInstrumentationGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Mathematical PhysicsQCPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Performance of high energy physics detectorsLarge Hadron ColliderAtlas (topology)DetectorSettore FIS/01 - Fisica Sperimentaleexotic [particle]ATLAStrackingprimary [vertex]CERN LHC CollDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Performance of High Energy Physics DetectorsAtlasTellurium compoundsParticle Physics - ExperimentperformanceCIENCIAS NATURALES Y EXACTASParticle physics530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]Detector modelling and simulations I (interaction of radiation with matter interactionFOS: Physical sciencesLHC ATLAS High Energy Physics530MaterialNuclear physics510 Mathematics0103 physical sciencesddc:610High Energy Physics010306 general physicsCiencias ExactasScience & Technology010308 nuclear & particles physicstracks [charged particle]backgroundFísica//purl.org/becyt/ford/1.3 [https]triggerAstronomíaExperimental High Energy PhysicsHigh Energy Physics::Experimenthadron
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A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains.

2016

We determine knotting probabilities and typical sizes of knots in double-stranded DNA for chains of up to half a million base pairs with computer simulations of a coarse-grained bead-stick model: Single trefoil knots and composite knots which include at least one trefoil as a prime factor are shown to be common in DNA chains exceeding 250,000 base pairs, assuming physiologically relevant salt conditions. The analysis is motivated by the emergence of DNA nanopore sequencing technology, as knots are a potential cause of erroneous nucleotide reads in nanopore sequencing devices and may severely limit read lengths in the foreseeable future. Even though our coarse-grained model is only based on …

PolymersMaterials by StructureMolecular biologyMaterials ScienceElectrophoretic techniquesDNA electrophoresisNucleotide SequencingMolecular Dynamics SimulationBiochemistryNanoporesSequencing techniquesMathematical and Statistical Techniquesstomatognathic systemGeneticsBiochemical SimulationsNanotechnologyDNA sequencingMaterials by AttributeNanomaterialsQuantitative Biology::BiomoleculesBiology and life sciencesMathematical Modelsfood and beveragesComputational BiologyDNAPolymer ChemistryMathematics::Geometric TopologyResearch and analysis methodsNucleic acidsChemistrysurgical procedures operativeMolecular biology techniquesMacromoleculesRandom WalkPhysical SciencesNucleic Acid ConformationEngineering and TechnologyMonte Carlo MethodResearch ArticlePLoS computational biology
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The positioning system of the ANTARES Neutrino Telescope

2012

The ANTARES neutrino telescope, located 40km off the coast of Toulon in the Mediterranean Sea at a mooring depth of about 2475m, consists of twelve detection lines equipped typically with 25 storeys. Every storey carries three optical modules that detect Cherenkov light induced by charged secondary particles (typically muons) coming from neutrino interactions. As these lines are flexible structures fixed to the sea bed and held taut by a buoy, sea currents cause the lines to move and the storeys to rotate. The knowledge of the position of the optical modules with a precision better than 10cm is essential for a good reconstruction of particle tracks. In this paper the ANTARES positioning sys…

Positioning systemDetector control systems (detector and experiment monitoring and slow-control systems architecture hardware algorithms databases)Detector modelling and simulations II (electric fieldsDetector alignment and calibration methods (lasers sources particle-beams)01 natural sciencesTiming detectorshardwareDetector alignment and calibration methods010303 astronomy & astrophysicsInstrumentationDETECTOR ALIGMENTMathematical PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsSOUND[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Orientation (computer vision)[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]DetectorAstrophysics::Instrumentation and Methods for AstrophysicsTriangulation (computer vision)particle-beams)GeodesyDETECTOR CONTROL SYSTEMDetector modelling and simulations II (electric fields charge transport multiplication and induction pulse formation electron emission etc)Física nuclearNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenadatabases)sources[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]pulse formationarchitecture[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesddc:500.2DETECTOR MODELLING AND SIMULATIONSDetector modelling and simulations IIalgorithmsPhysics::Geophysics0103 physical sciences14. Life underwaterInstrumentation and Methods for Astrophysics (astro-ph.IM)Cherenkov radiationetc)multiplication and inductionBuoyDetector control systems010308 nuclear & particles physicsDetector control systems (detector and experiment monitoring and slow-control systemsMooringcharge transport[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Detector alignment and calibration methods (laserselectron emissionFISICA APLICADAdetector modelling and simulations ii (electric fields; antares neutrino telescope; multiplication and induction; charge transport; pulse formation; electron emission; etc); hardware; architecture; timing detectors; detector control systems (detector and experiment monitoring and slow-control systems; algorithms; databases); sources; detector alignment; calibration.; acoustic positioning; detector alignment and calibration methods (lasers; particle-beams)
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Power Quality Savings with Controlled Fault-Tolerant Power Converters

2011

Power quality is simply the interaction of electrical power with electrical equipments. If electrical equipments operate correctly and reliably without being damaged or stressed, a suitable level of power quality is assured. On the other hand, if the electrical equipment malfunctions, is unreliable, or is damaged during normal usage, power quality is poor and probably the economical loss could be preeminent over the technical one. In the scenario of the Distributed generation power quality issues will be more- over important because an higher dissemination of power conditioning equip- ment will be requested and this obviously will increase the sources of vulnera- bility for the electrical s…

Power Quality Fault Tolerant Converters Control and SimulationsSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici
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Aprendizaje de los fundamentos de la probabilidad apoyado en las TICs

2012

La red puede utilizarse como una herramienta docente más en Estadística, ya que en ella se puede acceder a numerosos recursos que pueden incorporarse a la docencia. En este artículo se describe un proyecto de integración de las denominadas simulaciones interactivas en una de las ramas de la Estadística en las que se pueden emplear: la probabilidad. El uso de estos recursos permite al alumno aprender de su propia experiencia y visualizar los conceptos estadísticos, lo que contribuye a mejorar su proceso de aprendizaje.

Probability and StatisticsICTlcsh:Llcsh:L7-991Interactive simulationslcsh:Education (General)lcsh:Education@tic. revista d'innovació educativa
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A potential solution to avoid overdose of mixed drugs in the event of Covid-19: Nanomedicine at the heart of the Covid-19 pandemic.

2021

Since 2020, the world is facing the first global pandemic of 21st century. Among all the solutions proposed to treat this new strain of coronavirus, named SARS-CoV-2, the vaccine seems a promising way but the delays are too long to be implemented quickly. In the emergency, a dual therapy has shown its effectiveness but has also provoked a set of debates around the dangerousness of a particular molecule, hydroxychloroquine. In particular, the doses to be delivered, according to the studies, were well beyond the acceptable doses to support the treatment without side effects. We propose here to use all the advantages of nanovectorization to address this question of concentration. Using quantum…

Protein Conformation alpha-HelicalComputer science02 engineering and technologyAzithromycinDrug Delivery SystemsPandemicMaterials ChemistryDrug Dosage CalculationsSpectroscopymedia_common0303 health sciencesEvent (computing)021001 nanoscience & nanotechnologyComputer Graphics and Computer-Aided DesignMolecular Docking SimulationNanomedicineRisk analysis (engineering)Spike Glycoprotein CoronavirusDensity functional theory calculationsNanomedicineThermodynamicsNitrogen OxidesAngiotensin-Converting Enzyme 20210 nano-technologyHydroxychloroquineProtein BindingDrugBoron CompoundsCoronavirus disease 2019 (COVID-19)media_common.quotation_subjectSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Molecular Dynamics SimulationAntiviral AgentsArticle03 medical and health sciencesHumansProtein Interaction Domains and MotifsDual therapyPhysical and Theoretical Chemistry030304 developmental biologyDrug transportBinding SitesSARS-CoV-2Molecular dynamics simulationsCOVID-19NanostructuresCOVID-19 Drug TreatmentKineticsQuantum TheoryProtein Conformation beta-StrandNanovectorizationJournal of molecular graphicsmodelling
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