Physical Review B - Condensed Matter and Materials Physics, ISSN 1098-0121, 05/2015, Volume 91, Issue 17

Motivated by recent experimental progress in the context of ultracold multicolor fermionic atoms in optical lattices, we have investigated the properties of...

MAGNETISM | FERMIONS | PHYSICS, CONDENSED MATTER | ATOMS | SIGMA-MODELS | SPIN-ORBITAL MODEL | Physics - Quantum Gases

MAGNETISM | FERMIONS | PHYSICS, CONDENSED MATTER | ATOMS | SIGMA-MODELS | SPIN-ORBITAL MODEL | Physics - Quantum Gases

Journal Article

JOURNAL OF PHYSICAL CHEMISTRY A, ISSN 1089-5639, 03/2019, Volume 123, Issue 9, pp. 1874 - 1881

Molecular dynamics (MD) simulation of complex chemistry typically involves thousands of atoms propagating over millions of time steps, generating a wealth of...

CHEMISTRY, PHYSICAL | COMPLEX CHEMISTRY | MACHINE | DIAMONDS | PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

CHEMISTRY, PHYSICAL | COMPLEX CHEMISTRY | MACHINE | DIAMONDS | PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Journal Article

Physical Review B (Condensed Matter and Materials Physics), ISSN 1098-0121, 05/2015, Volume 91, Issue 17

Motivated by recent experimental progress in the context of ultracold multicolor fermionic atoms in optical lattices, we have investigated the properties of...

Optical lattices | Monte Carlo methods | Phases | Condensed matter | Ground state | Mathematical models | Wave functions | Representations

Optical lattices | Monte Carlo methods | Phases | Condensed matter | Ground state | Mathematical models | Wave functions | Representations

Journal Article

Journal of Econometrics, ISSN 0304-4076, 2006, Volume 133, Issue 2, pp. 443 - 477

The technique of Monte Carlo (MC) tests [Dwass (1957, Annals of Mathematical Statistics 28, 181–187); Barnard (1963, Journal of the Royal Statistical Society,...

Maximized Monte Carlo test | Nonstandard asymptotic distribution | Parametric bootstrap | Nuisance parameter | Monte Carlo test | Exact test | Bounds | Simulated annealing | Bootstrap | Finite-sample test | Asymptotics | exact test | simulated annealing | finite-sample test | MODIFIED RANDOMIZATION TESTS | parametric bootstrap | LINEAR REGRESSIONS | bootstrap | nuisance parameter | ORDER | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | maximized Monte Carlo test | NONPARAMETRIC HYPOTHESES | asymptotics | EXTREMA | bounds | nonstandard asymptotic distribution | AUTOREGRESSIVE PROCESSES | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | DISTRIBUTED LAG MODELS | EFFICIENCY | MOMENTS | Monte Carlo method | Usage | Simulated annealing (Mathematics) | Asymptotic distribution (Probability theory) | Analysis

Maximized Monte Carlo test | Nonstandard asymptotic distribution | Parametric bootstrap | Nuisance parameter | Monte Carlo test | Exact test | Bounds | Simulated annealing | Bootstrap | Finite-sample test | Asymptotics | exact test | simulated annealing | finite-sample test | MODIFIED RANDOMIZATION TESTS | parametric bootstrap | LINEAR REGRESSIONS | bootstrap | nuisance parameter | ORDER | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | maximized Monte Carlo test | NONPARAMETRIC HYPOTHESES | asymptotics | EXTREMA | bounds | nonstandard asymptotic distribution | AUTOREGRESSIVE PROCESSES | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | DISTRIBUTED LAG MODELS | EFFICIENCY | MOMENTS | Monte Carlo method | Usage | Simulated annealing (Mathematics) | Asymptotic distribution (Probability theory) | Analysis

Journal Article

Physical Review B, ISSN 1098-0121, 05/2015, Volume 91, Issue 17

Journal Article

Handbook of Statistics, ISSN 0169-7161, 2019

We review the concept of Monte Carlo test as a simulation-based inference procedure which allows one to construct tests with provably exact levels in...

Behrens–Fisher | Nonstandard asymptotic distribution | MMC | Exact inference | Autoregressive model | Test size | Maximized Monte Carlo | Kolmogorov–Smirnov | Genetic algorithm | Monte Carlo test | Discrete distribution | Simulated annealing | Bootstrap | Test level | Particle swarm | Singular Wald test | Randomized tie-breaker

Behrens–Fisher | Nonstandard asymptotic distribution | MMC | Exact inference | Autoregressive model | Test size | Maximized Monte Carlo | Kolmogorov–Smirnov | Genetic algorithm | Monte Carlo test | Discrete distribution | Simulated annealing | Bootstrap | Test level | Particle swarm | Singular Wald test | Randomized tie-breaker

Journal Article

Physical Review Letters, ISSN 0031-9007, 09/2015, Volume 115, Issue 11

The branching fraction ratio R(D-*) = B((B) over bar (0) -> D-*(+)tau(-)(nu) over bar (tau))/B((B) over bar (0) -> D-*(+)mu(-)(nu) over bar (mu)) is measured...

MONTE-CARLO | HEAVY MESONS | PHYSICS, MULTIDISCIPLINARY | MESON DECAYS | FORM-FACTORS | B-DECAYS

MONTE-CARLO | HEAVY MESONS | PHYSICS, MULTIDISCIPLINARY | MESON DECAYS | FORM-FACTORS | B-DECAYS

Journal Article

Physical Review Letters, ISSN 0031-9007, 09/2017, Volume 119, Issue 11

A highly significant structure is observed in the Lambda K-+(c)-pi(+)pi(+) mass spectrum, where the Lambda(+)(c) baryon is reconstructed in the decay mode...

MONTE-CARLO | GENERATOR | MASSES | B-C MESONS | DECAY | SPECTROSCOPY | PHYSICS, MULTIDISCIPLINARY | HADRONIC PRODUCTION | VERSION | HEAVY BARYONS | GENXICC | Physics - High Energy Physics - Experiment

MONTE-CARLO | GENERATOR | MASSES | B-C MESONS | DECAY | SPECTROSCOPY | PHYSICS, MULTIDISCIPLINARY | HADRONIC PRODUCTION | VERSION | HEAVY BARYONS | GENXICC | Physics - High Energy Physics - Experiment

Journal Article

European Physical Journal C, ISSN 1434-6044, 2010, Volume 70, Issue 3, pp. 723 - 753

The ATLAS liquid argon calorimeter has been operating continuously since August 2006. At this time, only part of the calorimeter was readout, but since the...

Measurement Science and Instrumentation | Nuclear Physics, Heavy Ions, Hadrons | Quantum Field Theories, String Theory | Physics | Astronomy, Astrophysics and Cosmology | Elementary Particles, Quantum Field Theory | CALIBRATION | END-CAP CALORIMETER | ELECTRONICS | RESOLUTION | CONSTRUCTION | PHYSICS, PARTICLES & FIELDS | Monte Carlo method | Detectors | Collisions (Nuclear physics) | Chemical industry | Large Hadron Collider | Computer simulation | Energy resolution | Production planning | Collisions | Argon | Monte Carlo simulation | Muons | Beams (radiation) | Monte Carlo methods | Liquids | Electronics | Instrumentation and Detectors | High Energy Physics - Experiment | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS | Fysik | Physical Sciences | Naturvetenskap | Natural Sciences

Measurement Science and Instrumentation | Nuclear Physics, Heavy Ions, Hadrons | Quantum Field Theories, String Theory | Physics | Astronomy, Astrophysics and Cosmology | Elementary Particles, Quantum Field Theory | CALIBRATION | END-CAP CALORIMETER | ELECTRONICS | RESOLUTION | CONSTRUCTION | PHYSICS, PARTICLES & FIELDS | Monte Carlo method | Detectors | Collisions (Nuclear physics) | Chemical industry | Large Hadron Collider | Computer simulation | Energy resolution | Production planning | Collisions | Argon | Monte Carlo simulation | Muons | Beams (radiation) | Monte Carlo methods | Liquids | Electronics | Instrumentation and Detectors | High Energy Physics - Experiment | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS | Fysik | Physical Sciences | Naturvetenskap | Natural Sciences

Journal Article

European Physical Journal C, ISSN 1434-6044, 2013, Volume 73, Issue 3, pp. 1 - 34

The uncertainty on the calorimeter energy response to jets of particles is derived for the ATLAS experiment at the Large Hadron Collider (LHC). First, the...

Nuclear Physics, Heavy Ions, Hadrons | Measurement Science and Instrumentation | Nuclear Energy | Quantum Field Theories, String Theory | Physics | Elementary Particles, Quantum Field Theory | Astronomy, Astrophysics and Cosmology | END-CAP CALORIMETER | PHYSICS, PARTICLES & FIELDS | Measurement | Monte Carlo method | Collisions (Nuclear physics) | Comparative analysis | Detectors | Hadrons | Uncertainty | Monte Carlo methods | Large Hadron Collider | Computer simulation | Energy measurement | Charged particles | Physics - High Energy Physics - Experiment | High Energy Physics - Experiment | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS | Fysik | Physical Sciences | Beam Tests | Naturvetenskap | Barrel Calorimeter | Natural Sciences | End-Cap Calorimeter

Nuclear Physics, Heavy Ions, Hadrons | Measurement Science and Instrumentation | Nuclear Energy | Quantum Field Theories, String Theory | Physics | Elementary Particles, Quantum Field Theory | Astronomy, Astrophysics and Cosmology | END-CAP CALORIMETER | PHYSICS, PARTICLES & FIELDS | Measurement | Monte Carlo method | Collisions (Nuclear physics) | Comparative analysis | Detectors | Hadrons | Uncertainty | Monte Carlo methods | Large Hadron Collider | Computer simulation | Energy measurement | Charged particles | Physics - High Energy Physics - Experiment | High Energy Physics - Experiment | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS | Fysik | Physical Sciences | Beam Tests | Naturvetenskap | Barrel Calorimeter | Natural Sciences | End-Cap Calorimeter

Journal Article

Physics Letters B, ISSN 0370-2693, 11/2011, Volume 705, Issue 5, pp. 415 - 434

A measurement of the transverse momentum ( ) distribution in proton–proton collisions at is presented using and decays collected with the ATLAS detector in...

Event generators | Differential cross section | Z bosons | Perturbative QCD | Monte Carlo models | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS | DISTRIBUTION | FORECASTING | QUANTUM CHROMODYNAMICS | DECAY | CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS | ELECTRONS | TRANSVERSE MOMENTUM | MUONS | DIFFERENTIAL CROSS SECTIONS | BOSONS

Event generators | Differential cross section | Z bosons | Perturbative QCD | Monte Carlo models | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS | DISTRIBUTION | FORECASTING | QUANTUM CHROMODYNAMICS | DECAY | CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS | ELECTRONS | TRANSVERSE MOMENTUM | MUONS | DIFFERENTIAL CROSS SECTIONS | BOSONS

Journal Article

European Physical Journal C, ISSN 1434-6044, 2010, Volume 70, Issue 3, pp. 823 - 874

The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid....

Measurement Science and Instrumentation | Nuclear Physics, Heavy Ions, Hadrons | Quantum Field Theories, String Theory | Physics | Astronomy, Astrophysics and Cosmology | Elementary Particles, Quantum Field Theory | MONTE-CARLO | LIBRARY | PARTON | EVENT | TILE CALORIMETER | PHYSICS, PARTICLES & FIELDS | Usage | Software | Collisions (Nuclear physics) | Synthetic training devices | Infrastructure (Economics) | Models | Detectors | Simulation | Large Hadron Collider | Particle collisions | Computer simulation | Infrastructure | Hadrons | Packages | Computer programs | Instrumentation and Detectors | High Energy Physics - Experiment | PARTICLE ACCELERATORS | MATHEMATICS AND COMPUTING | Fysik | Physical Sciences | Naturvetenskap | Natural Sciences

Measurement Science and Instrumentation | Nuclear Physics, Heavy Ions, Hadrons | Quantum Field Theories, String Theory | Physics | Astronomy, Astrophysics and Cosmology | Elementary Particles, Quantum Field Theory | MONTE-CARLO | LIBRARY | PARTON | EVENT | TILE CALORIMETER | PHYSICS, PARTICLES & FIELDS | Usage | Software | Collisions (Nuclear physics) | Synthetic training devices | Infrastructure (Economics) | Models | Detectors | Simulation | Large Hadron Collider | Particle collisions | Computer simulation | Infrastructure | Hadrons | Packages | Computer programs | Instrumentation and Detectors | High Energy Physics - Experiment | PARTICLE ACCELERATORS | MATHEMATICS AND COMPUTING | Fysik | Physical Sciences | Naturvetenskap | Natural Sciences

Journal Article

Journal of Econometrics, ISSN 0304-4076, 2009, Volume 150, Issue 2, pp. 193 - 206

We study the problem of testing hypotheses on the parameters of one- and two-factor stochastic volatility models (SV), allowing for the possible presence of...

Maximized Monte Carlo test | Wald test | [formula omitted] test | LM test | Finance | Identification | LR test | Singular moment conditions | Stock prices | Monte Carlo test | Exact test | Stochastic volatility | Two-factor volatility | Homoskedasticity | Testing | C (α) test | MONTE-CARLO METHODS | INFERENCE | NUISANCE PARAMETER | WEAK INSTRUMENTS | C(alpha) test | SIMULATION-BASED FINITE | BAYESIAN-ANALYSIS | SAMPLE TESTS | ECONOMETRICS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | REGRESSIONS | Testing Exact test Monte Carlo test Maximized Monte Carlo test Wald test LR test LM test C([alpha]) test Homoskedasticity Stochastic volatility Two-factor volatility Identification Singular moment conditions Finance Stock prices

Maximized Monte Carlo test | Wald test | [formula omitted] test | LM test | Finance | Identification | LR test | Singular moment conditions | Stock prices | Monte Carlo test | Exact test | Stochastic volatility | Two-factor volatility | Homoskedasticity | Testing | C (α) test | MONTE-CARLO METHODS | INFERENCE | NUISANCE PARAMETER | WEAK INSTRUMENTS | C(alpha) test | SIMULATION-BASED FINITE | BAYESIAN-ANALYSIS | SAMPLE TESTS | ECONOMETRICS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | REGRESSIONS | Testing Exact test Monte Carlo test Maximized Monte Carlo test Wald test LR test LM test C([alpha]) test Homoskedasticity Stochastic volatility Two-factor volatility Identification Singular moment conditions Finance Stock prices

Journal Article

Communications in Statistics - Simulation and Computation, ISSN 0361-0918, 10/2015, Volume 44, Issue 9, pp. 2329 - 2347

This article suggests Monte Carlo multiple test procedures which are provably valid in finite samples. These include combination methods originally proposed...

Test combination | Monte Carlo test | Variance ratio | Induced test | Simultaneous inference | 62F03 | 91B82 | FIT | STRUCTURAL-CHANGE | NORMALITY | RANDOM-WALK | SIZE | STATISTICS & PROBABILITY | VARIANCE-RATIO TESTS | Economic models | Statistical analysis | Monte Carlo simulation | Methods | Monte Carlo methods | Computer simulation | Mathematical analysis | Samples | Serials | Statistical tests | Statistics | Standards

Test combination | Monte Carlo test | Variance ratio | Induced test | Simultaneous inference | 62F03 | 91B82 | FIT | STRUCTURAL-CHANGE | NORMALITY | RANDOM-WALK | SIZE | STATISTICS & PROBABILITY | VARIANCE-RATIO TESTS | Economic models | Statistical analysis | Monte Carlo simulation | Methods | Monte Carlo methods | Computer simulation | Mathematical analysis | Samples | Serials | Statistical tests | Statistics | Standards

Journal Article

Reliability Engineering and System Safety, ISSN 0951-8320, 06/2014, Volume 126, pp. 126 - 134

This paper is keeping with the topic of two papers which treated dynamic reliability problems and were presented in previous conferences. Its aim is to confirm...

Dynamic reliability | Piecewise Deterministic Markov Processes (PDMP) | Petri nets | Subsea oil production system | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | AVAILABILITY | ENGINEERING, INDUSTRIAL | Markov processes | Monte Carlo method | Petroleum industry | Analysis | Petroleum in submerged lands | Monte Carlo methods | Computer simulation | Conferences | Dynamics | Hybrid systems | Outsourcing | Dynamical systems | Probability | Mathematics

Dynamic reliability | Piecewise Deterministic Markov Processes (PDMP) | Petri nets | Subsea oil production system | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | AVAILABILITY | ENGINEERING, INDUSTRIAL | Markov processes | Monte Carlo method | Petroleum industry | Analysis | Petroleum in submerged lands | Monte Carlo methods | Computer simulation | Conferences | Dynamics | Hybrid systems | Outsourcing | Dynamical systems | Probability | Mathematics

Journal Article

Journal of Econometrics, ISSN 0304-4076, 08/2006, Volume 133, Issue 2, p. 443

The technique of Monte Carlo (MC) tests [Dwass (1957, Annals of Mathematical Statistics 28, 181-187); Barnard (1963, Journal of the Royal Statistical...

Studies | Test methods | Parameter identification | Asymptotic methods

Studies | Test methods | Parameter identification | Asymptotic methods

Journal Article

JOURNAL OF HIGH ENERGY PHYSICS, ISSN 1029-8479, 05/2019, Issue 5

An amplitude analysis of B-0 ((+-))(K+-) decays is performed in the two-body invariant mass regions 300 < m((+-)) < 1100 MeV/c(2), accounting for the (0), ,...

MONTE-CARLO | Polarization | B physics | CP violation | Hadron-Hadron scattering (experiments) | EFFICIENT | TOOL | PHYSICS, PARTICLES & FIELDS

MONTE-CARLO | Polarization | B physics | CP violation | Hadron-Hadron scattering (experiments) | EFFICIENT | TOOL | PHYSICS, PARTICLES & FIELDS

Journal Article