0000000000131644

AUTHOR

Ronald E. Miller

showing 3 related works from this author

Search for Charged Higgs Bosons in Decays of Top Quarks inpp¯Collisions ats=1.96  TeV

2009

We report on the first direct search for charged Higgs bosons in decays of top quarks in p{bar p} collisions at {radical}s = 1.96 TeV. The search uses a data sample corresponding to an integrated luminosity of 2.2 fb{sup -1} collected by the CDF II detector at Fermilab, and looks for a resonance in the invariant mass distribution of two jets in the lepton+jets sample of t{bar t} candidates. We observe no evidence of charged Higgs bosons in top quark decays. Hence, 95% upper limits on the top quark decay branching ratio are placed at {Beta}(t {yields} H{sup +}b) < 0.1 to 0.3 for charged Higgs boson masses of 60 to 150 GeV/c{sup 2}, assuming {Beta}(H{sup +} {yields} c{bar s}) = 1.0. The upper…

QuarkPhysicsTop quarkParticle physics010308 nuclear & particles physicsBranching fractionHigh Energy Physics::PhenomenologyGeneral Physics and AstronomyElementary particle01 natural sciences7. Clean energyStandard ModelNuclear physics0103 physical sciencesHiggs bosonHigh Energy Physics::Experiment010306 general physicsLeptonBosonPhysical Review Letters
researchProduct

Inclusive Search for Standard Model Higgs Boson Production in the WW Decay Channel using the CDF II Detector

2010

We present a search for standard model (SM) Higgs boson production using p (p) over bar collision data at root s = 1. 96 TeV, collected with the CDF II detector and corresponding to an integrated luminosity of 4. 8 fb(-1). We search for Higgs bosons produced in all processes with a significant production rate and decaying to two W bosons. We find no evidence for SM Higgs boson production and place upper limits at the 95% confidence level on the SM production cross section (sigma(H)) for values of the Higgs boson mass (m(H)) in the range from 110 to 200 GeV. These limits are the most stringent for m(H) > 130 GeV and are 1.29 above the predicted value of sigma(H) for m(H) 165 GeV.

COLLISIONSParticle physicsZ-GAMMA PRODUCTION; HADRON COLLIDERS; QCD CORRECTIONS; NNLO QCD; COLLISIONS; FERMILABGeneral Physics and AstronomyLibrary scienceFOS: Physical sciencesddc:500.2114 Physical sciences01 natural sciencesZ-GAMMA PRODUCTIONBildungWorld classHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)NNLO QCDBasic research0103 physical sciencesHADRON COLLIDERSFERMILAB010306 general physicsChinaPhysicshep-ex010308 nuclear & particles physicsPhysicsHigh Energy Physics::Phenomenology3. Good healthChristian ministryHigh Energy Physics::ExperimentQCD CORRECTIONS
researchProduct

A Note on added information in the RAS Procedure: reexamination of some evidence

2006

International audience; An example in Miernyk (1977) presented a rather counterintuitive result, namely that introducing accurate exogenous information into an RAS matrix estimating procedure could lead to an estimate that was worse than one generated by RAS using no exogenous information at all. This became an oft-cited black mark against RAS. Miller and Blair (1985) included a different (and small) illustration of the same possibility. It was recently pointed out by one of us that the Miller/Blair numerical results are wrong. For that reason, we decided to reexamine all the empirical evidence we could find on the subject. While figures in both Miernyk and Miller/Blair appear to be wrong, …

JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsCounterintuitiveClosenessJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisEnvironmental Science (miscellaneous)Development[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingInput-outputbiproportionEconometricsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceEmpirical evidenceMathematical economicsCounterexampleMathematicsRAS
researchProduct