Search results for "physics.comp-ph"

showing 10 items of 115 documents

Unsupervised Anomaly and Change Detection With Multivariate Gaussianization

2022

Anomaly detection (AD) is a field of intense research in remote sensing (RS) image processing. Identifying low probability events in RS images is a challenging problem given the high dimensionality of the data, especially when no (or little) information about the anomaly is available a priori. While a plenty of methods are available, the vast majority of them do not scale well to large datasets and require the choice of some (very often critical) hyperparameters. Therefore, unsupervised and computationally efficient detection methods become strictly necessary, especially now with the data deluge problem. In this article, we propose an unsupervised method for detecting anomalies and changes …

FOS: Computer and information sciencesComputer Science - Machine LearningMultivariate statisticsComputer sciencebusiness.industryComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionFOS: Physical sciencesImage processingPattern recognitionMultivariate normal distributionComputational Physics (physics.comp-ph)Machine Learning (cs.LG)Methodology (stat.ME)Transformation (function)Robustness (computer science)General Earth and Planetary SciencesAnomaly detectionArtificial intelligenceElectrical and Electronic EngineeringbusinessPhysics - Computational PhysicsStatistics - MethodologyChange detectionCurse of dimensionalityIEEE Transactions on Geoscience and Remote Sensing
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Multi-GPU Accelerated Multi-Spin Monte Carlo Simulations of the 2D Ising Model

2010

A Modern Graphics Processing unit (GPU) is able to perform massively parallel scientific computations at low cost. We extend our implementation of the checkerboard algorithm for the two-dimensional Ising model [T. Preis et al., Journal of Chemical Physics 228 (2009) 4468–4477] in order to overcome the memory limitations of a single GPU which enables us to simulate significantly larger systems. Using multi-spin coding techniques, we are able to accelerate simulations on a single GPU by factors up to 35 compared to an optimized single Central Processor Unit (CPU) core implementation which employs multi-spin coding. By combining the Compute Unified Device Architecture (CUDA) with the Message P…

FOS: Computer and information sciencesComputer scienceMonte Carlo methodGraphics processing unitFOS: Physical sciencesGeneral Physics and AstronomyMathematical Physics (math-ph)Parallel computingGPU clusterComputational Physics (physics.comp-ph)Graphics (cs.GR)Computational scienceCUDAComputer Science - GraphicsHardware and ArchitectureIsing modelCentral processing unitGeneral-purpose computing on graphics processing unitsMassively parallelPhysics - Computational PhysicsMathematical Physics
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Local Granger causality

2021

Granger causality is a statistical notion of causal influence based on prediction via vector autoregression. For Gaussian variables it is equivalent to transfer entropy, an information-theoretic measure of time-directed information transfer between jointly dependent processes. We exploit such equivalence and calculate exactly the 'local Granger causality', i.e. the profile of the information transfer at each discrete time point in Gaussian processes; in this frame Granger causality is the average of its local version. Our approach offers a robust and computationally fast method to follow the information transfer along the time history of linear stochastic processes, as well as of nonlinear …

FOS: Computer and information sciencesInformation transferGaussianFOS: Physical sciencestechniques; information theory; granger causalityMachine Learning (stat.ML)Quantitative Biology - Quantitative Methods01 natural sciences010305 fluids & plasmasVector autoregressionsymbols.namesakegranger causalityGranger causalityStatistics - Machine Learning0103 physical sciencesApplied mathematicstime serie010306 general physicsQuantitative Methods (q-bio.QM)Mathematicsinformation theoryStochastic processDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComputational Physics (physics.comp-ph)Discrete time and continuous timeAutoregressive modelFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticasymbolsTransfer entropytechniquesPhysics - Computational Physics
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Real-time computation of parameter fitting and image reconstruction using graphical processing units

2016

Abstract In recent years graphical processing units (GPUs) have become a powerful tool in scientific computing. Their potential to speed up highly parallel applications brings the power of high performance computing to a wider range of users. However, programming these devices and integrating their use in existing applications is still a challenging task. In this paper we examined the potential of GPUs for two different applications. The first application, created at Paul Scherrer Institut (PSI), is used for parameter fitting during data analysis of μ SR (muon spin rotation, relaxation and resonance) experiments. The second application, developed at ETH, is used for PET (Positron Emission T…

FOS: Computer and information sciencesMulti-core processorSpeedup010308 nuclear & particles physicsComputer scienceComputationFOS: Physical sciencesGeneral Physics and AstronomyIterative reconstructionComputational Physics (physics.comp-ph)Supercomputer01 natural sciences030218 nuclear medicine & medical imagingComputational science03 medical and health sciencesRange (mathematics)CUDA0302 clinical medicineComputer Science - Distributed Parallel and Cluster ComputingHardware and Architecture0103 physical sciencesSingle-coreDistributed Parallel and Cluster Computing (cs.DC)Physics - Computational PhysicsComputer Physics Communications
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Point Group Symmetry Analysis of the Electronic Structure of Bare and Protected Metal Nanocrystals

2018

The electronic structures of a variety of experimentally identified gold and silver nanoclusters from 20 to 246 atoms, either unprotected or protected by several types of ligands, are characterized by using point group specific symmetry analysis. The delocalized electron states around the HOMO-LUMO energy gap, originating from the metal s-electrons in the cluster core, show symmetry characteristics according to the point group that describes best the atomic arrangement of the core. This indicates strong effects of the lattice structure and overall shape of the metal core to the electronic structure, which cannot be captured by the conventional analysis based on identification of spherical a…

FOS: Physical sciences02 engineering and technologyElectronic structureCrystal structure010402 general chemistry01 natural sciencesMolecular physicsArticleNanoclustersDelocalized electronnanocrystalsPhysics - Chemical PhysicsMolecular symmetryPhysics::Atomic and Molecular ClustersPhysics - Atomic and Molecular ClustersPhysical and Theoretical Chemistryta116Chemical Physics (physics.chem-ph)ta114ChemistrySuperatomSpherical harmonicsComputational Physics (physics.comp-ph)021001 nanoscience & nanotechnologySymmetry (physics)0104 chemical sciencesnanohiukkasetAtomic and Molecular Clusters (physics.atm-clus)0210 nano-technologyPhysics - Computational Physics
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Boundary-integral method for poloidal axisymmetric AC magnetic fields

2006

This paper presents a boundary-integral equation (BIE) method for the calculation of poloidal axisymmetric magnetic fields applicable in a wide range of ac frequencies. The method is based on the vector potential formulation and it uses the Green's functions of Laplace and Helmholtz equations for the exterior and interior of conductors, respectively. The work is particularly focused on a calculation of axisymmetric Green's function for the Helmholtz equation which is both simpler and more accurate compared to previous approaches. Three different approaches are used for calculation of the Green's function depending on the parameter range. For low and high dimensionless ac frequencies we use …

FOS: Physical sciencesComputational Physics (physics.comp-ph)Physics - Computational Physics
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Robustness of Coherence: An Operational and Observable Measure of Quantum Coherence

2016

Quantifying coherence is an essential endeavour for both quantum foundations and quantum technologies. Here the robustness of coherence is defined and proven a full monotone in the context of the recently introduced resource theories of quantum coherence. The measure is shown to be observable, as it can be recast as the expectation value of a coherence witness operator for any quantum state. The robustness of coherence is evaluated analytically on relevant classes of states, and an efficient semidefinite program that computes it on general states is given. An operational interpretation is finally provided: the robustness of coherence quantifies the advantage enabled by a quantum state in a …

FOS: Physical sciencesGeneral Physics and AstronomyContext (language use)Degree of coherenceExpectation value01 natural sciences010305 fluids & plasmasQuantum stateQuantum mechanics0103 physical sciencesStatistical physics010306 general physicsQCMathematical PhysicsQuantum PhysicsQuantum discordMathematical Physics (math-ph)Coherence (statistics)Computational Physics (physics.comp-ph)3. Good healthCondensed Matter - Other Condensed MatterQuantum technologyCoherence theoryQuantum Physics (quant-ph)Physics - Computational PhysicsOther Condensed Matter (cond-mat.other)Physical Review Letters
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A numerical method for imaging of biological microstructures by VHF waves

2013

Imaging techniques give a fundamental support to medical diagnostics during the pathology discovery as well as for the characterization of biological structures. The imaging methods involve electromagnetic waves in a frequency range that spans from some Hz to GHz and over. Most of these methods involve scanning of wide human body areas even if only small areas need to be analyzed. In this paper, a numerical method to evaluate the shape of micro-structures for application in the medical field, with a very low invasiveness for the human body, is proposed. A flexible thin-wire antenna radiates the VHF waves and then, by measuring the spatial magnetic field distribution it is possible to recons…

FOS: Physical sciencesMedical Physics (physics.med-ph)Computational Physics (physics.comp-ph)Physics - Computational PhysicsPhysics - Medical Physics
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Efficient and portable acceleration of quantum chemical many-body methods in mixed floating point precision using OpenACC compiler directives

2016

It is demonstrated how the non-proprietary OpenACC standard of compiler directives may be used to compactly and efficiently accelerate the rate-determining steps of two of the most routinely applied many-body methods of electronic structure theory, namely the second-order M{\o}ller-Plesset (MP2) model in its resolution-of-the-identity (RI) approximated form and the (T) triples correction to the coupled cluster singles and doubles model (CCSD(T)). By means of compute directives as well as the use of optimized device math libraries, the operations involved in the energy kernels have been ported to graphics processing unit (GPU) accelerators, and the associated data transfers correspondingly o…

Floating pointComputer scienceBiophysicsGraphics processing unitFOS: Physical sciences010402 general chemistrycomputer.software_genre01 natural sciencesPortingSingle-precision floating-point formatComputational sciencePhysics - Chemical Physics0103 physical sciencesPhysical and Theoretical ChemistryMolecular BiologyChemical Physics (physics.chem-ph)010304 chemical physicsComputational Physics (physics.comp-ph)Condensed Matter Physics0104 chemical sciencesNode (circuits)CompilerCentral processing unitHost (network)computerPhysics - Computational Physics
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Quantum dynamics by the constrained adiabatic trajectory method

2011

We develop the constrained adiabatic trajectory method (CATM) which allows one to solve the time-dependent Schr\"odinger equation constraining the dynamics to a single Floquet eigenstate, as if it were adiabatic. This constrained Floquet state (CFS) is determined from the Hamiltonian modified by an artificial time-dependent absorbing potential whose forms are derived according to the initial conditions. The main advantage of this technique for practical implementation is that the CFS is easy to determine even for large systems since its corresponding eigenvalue is well isolated from the others through its imaginary part. The properties and limitations of the CATM are explored through simple…

Floquet theoryQuantum dynamicsFOS: Physical sciences01 natural sciencesSchrödinger equationsymbols.namesakePhysics - Chemical PhysicsQuantum mechanics0103 physical sciences010306 general physicsAdiabatic processChemical Physics (physics.chem-ph)Physics[PHYS]Physics [physics]Quantum PhysicsPartial differential equation010304 chemical physicsComputational Physics (physics.comp-ph)Adiabatic quantum computationAtomic and Molecular Physics and OpticsClassical mechanicssymbolsQuantum Physics (quant-ph)Spectral methodHamiltonian (quantum mechanics)Physics - Computational Physics
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