0000000000615739

AUTHOR

S. Grant

showing 3 related works from this author

Measurement of the anomalous precession frequency of the muon in the Fermilab Muon g−2 Experiment

2021

The Muon g-2 Experiment at Fermi National Accelerator Laboratory (FNAL) has measured the muon anomalous precession frequency $\omega_a$ to an uncertainty of 434 parts per billion (ppb), statistical, and 56 ppb, systematic, with data collected in four storage ring configurations during its first physics run in 2018. When combined with a precision measurement of the magnetic field of the experiment's muon storage ring, the precession frequency measurement determines a muon magnetic anomaly of $a_{\mu}({\rm FNAL}) = 116\,592\,040(54) \times 10^{-11}$ (0.46 ppm). This article describes the multiple techniques employed in the reconstruction, analysis and fitting of the data to measure the preces…

Physics::Instrumentation and DetectorsMeasure (physics)FOS: Physical sciences7. Clean energy01 natural sciencesOmegaHigh Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment; High Energy Physics - Experiment; Nuclear ExperimentHigh Energy Physics - Experiment (hep-ex)muon0103 physical sciencesFermilabNuclear Experiment (nucl-ex)010306 general physicsNuclear ExperimentLarmor precessionPhysicsMuon010308 nuclear & particles physicsSettore FIS/01 - Fisica Sperimentaleanomalous magnetic moment3. Good healthMagnetic fieldPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentStorage ringFermi Gamma-ray Space TelescopePhysical Review
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Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Resear…

2021

Abstract Background Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients’ clinical phenotypes and analyse the differential clinical course. Methods We performed a hierarchical cluster analysis based on Ward’s Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry. Results A total of 9363 were available for this analysis. We identified three …

RegistrieResearch Reportmedicine.medical_specialtyMajor adverse outcomeCardiovascular risk factorsCluster analysisRisk FactorsInternal medicineClinical phenotypeAtrial FibrillationEpidemiologyHumansMedicineRegistriesCluster analysiAtrial fibrillation; Clinical management; Clinical phenotypes; Cluster analysis; Major adverse outcomes; Humans; Phenotype; Registries; Research Report; Risk Factors; Atrial FibrillationClinical managementbusiness.industryProportional hazards modelRisk FactorHazard ratioRAtrial fibrillationClinical phenotypesMajor adverse outcomesGeneral Medicinemedicine.diseaseAtrial fibrillationConfidence intervalPhenotypeCohortMedicineObservational studybusinessResearch ArticleHumanBMC Medicine
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Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.201…

2016

non presente

Molecular Biology; Cell BiologyCell BiologySettore BIO/06 - Anatomia Comparata E CitologiaMolecular Biology
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