Search results for "Statistical error"

showing 4 items of 4 documents

Energy loss of 40Ar in Au: Comparison of TOF-E and TOF–TOF method

2005

Abstract Energy loss of 40Ar ions in Au has been measured using two methods: TOF-E and TOF–TOF. The two methods are compared and discussed. The final results cover energy range 2–445 MeV (0.05–11 MeV/u) and give satisfactory agreement with SRIM 2003 predictions. Statistical error of the data is at the level of 1–2%.

Nuclear and High Energy PhysicsRange (particle radiation)Energy lossChemistryAnalytical chemistryStopping power (particle radiation)Statistical errorAtomic physicsInstrumentationEnergy (signal processing)IonNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Improved variables for measuring theΛbpolarization

1996

We discuss a few possible strategies for measuring the polarization of the {Lambda}{sub {ital b}} baryons produced in {ital e}{sup +}{ital e}{sup {minus}} annihilation at the {ital Z} resonance through their inclusive semileptonic decays. After reviewing the existing methods, an extension is proposed, based on the ratio of the averages of the squared electron and neutrino energies, including both perturbative and nonperturbative corrections. This variable minimizes the statistical error on the {Lambda}{sub {ital b}} polarization, while keeping the systematic theoretical errors at the level of 1{endash}2{percent}. A number of other polarization-sensitive variables are also discussed, such as…

Semileptonic decayPhysicsNuclear and High Energy PhysicsParticle physicsAnnihilation010308 nuclear & particles physicsComputer Science::Information RetrievalHigh Energy Physics::PhenomenologyElectronPolarization (waves)Lambda01 natural sciencesBaryon0103 physical sciencesStatistical errorNeutrino010306 general physicsPhysical Review D
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An intelligent way to predict the building thermal needs: ANNs and optimization

2022

The evaluation of the energy performance of existing or new buildings is a fundamental action to guarantee the feasibility of a project and the achievement of the minimum efficiency requirements. In general, the determination of the thermal loads of a building is carried out via software but their use requires adequate knowledge of physical phenomena and therefore the presence of an expert user. Furthermore, the resolution can be difficult to implement and can require high computational costs; all conditions that can influence the success of a project. Based on these considerations, this work proposes an alternative solution to traditional calculation tools, which in a simple and effective …

Settore ING-IND/11 - Fisica Tecnica AmbientaleArtificial IntelligenceGeneral EngineeringArtificial Neural Network Thermal energy demand Forecast method Sensitivity analysis Statistical error analysisComputer Science ApplicationsExpert Systems with Applications
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Determination of the LEP centre-of-mass energy from Zγ events

1999

Radiative returns to the Z resonance (Zgamma events) are used to determine the LEP2 centre-of-mass energy from the data collected with the ALEPH detector in 1997. The average centre-of-mass energy is measured to be: E_CM = 182.50 +- 0.19(stat) +- 0.08(syst) GeV in good agreement with the precise determination by the LEP energy working group of 182.652 +- 0.050 GeV. If applied to the measurement of the W mass, its precision translates into a systematic error on M_W which is smaller than the statistical error achieved from the corresponding dataset.

Systematic errorPhysicsNuclear and High Energy PhysicsParticle physicsAleph[PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex]010308 nuclear & particles physicsElectron–positron annihilationDetectorFOS: Physical sciences01 natural sciencesResonance (particle physics)High Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Radiative transferStatistical errorHigh Energy Physics::Experiment010306 general physicsParticle Physics - ExperimentEnergy (signal processing)
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