Search results for "Orders of Magnitude"

showing 10 items of 188 documents

Non-Monotonic Concentration Dependence of the Electro-Phoretic Mobility of Charged Spheres in Realistic Salt Free Suspensions

2020

Using super-heterodyne Doppler velocimetry with multiple scattering correction, we extend the opti-cally accessible range of concentrations in experiments on colloidal electro-kinetics. We here meas-ured the electro-phoretic mobility and the DC conductivity of aqueous charged sphere suspensions covering about three orders of magnitude in particle concentrations and transmissions as low as 40%. The extended concentration range for the first time allows the demonstration of a non-monotonic con-centration dependence of the mobility for a single particle species. Our observations reconcile previ-ous experimental observations made on other species over restricted concentration ranges. We com-par…

Double layer (biology)Chemical Physics (physics.chem-ph)Range (particle radiation)Materials scienceAqueous solution010304 chemical physicsStatistical Mechanics (cond-mat.stat-mech)General Physics and AstronomyFOS: Physical sciencesCondensed Matter - Soft Condensed Matter010402 general chemistry01 natural sciencesEffective nuclear charge0104 chemical sciencesOrders of magnitude (time)Chemical physicsPhysics - Chemical Physics0103 physical sciencesParticleSoft Condensed Matter (cond-mat.soft)SPHERESBoundary value problemPhysical and Theoretical ChemistryCondensed Matter - Statistical Mechanics
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Characterization of a cryogenic ion guide at IGISOL

2012

A small volume cryogenic ion guide has been characterized at the IGISOL facility, Jyvaskyla, as a prototype to verify whether there are any major obstacles to the use of high-density cryogenic helium gas for the stopping and extraction of high-energy ions from a large volume cryogenic ion catcher. The expected temperature scaling of the mass flow through the ion guide has been confirmed, showing that for the same helium density, the differential pumping requirements are less stringent for cryogenic operation. At 90 K a clear reduction in the mass-analyzed impurities is achieved, although lower temperatures are required to freeze out oxygen and nitrogen. This is supported by the reduction in…

EXTRACTIONNuclear and High Energy PhysicsDISSOCIATIVE RECOMBINATIONOrders of magnitude (temperature)Mass flowCryogenic gas cellONLINEchemistry.chemical_elementPRESSURENOIonIon beam depositionELECTRON-TEMPERATURE DEPENDENCEASSOCIATION REACTIONSRadioactive ion beamsInstrumentationHeliumDissociative recombinationIon guidePhysicsta114Volume (thermodynamics)chemistryGASAtomic physicsBeam (structure)HELIUMNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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Measurement of ultra-low heating rates of a single antiproton in a cryogenic Penning trap

2019

Physical review letters 122(4), 043201 (2019). doi:10.1103/PhysRevLett.122.043201

Electric fieldsField noiseCryogenicsAtomic Physics (physics.atom-ph)Penning trapOther Fields of PhysicsGeneral Physics and AstronomyFOS: Physical sciences01 natural sciences530physics.atom-phPhysics - Atomic PhysicsSpectral densityNoise spectral densityTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0103 physical sciencesddc:530010306 general physicsPhysicsComputer Science::Information RetrievalSpectral densityComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Penning trapOrders of magnitudeAntiprotonQuantum transition rateDewey Decimal Classification::500 | Naturwissenschaften::530 | PhysikAtomic physicsPräzisionsexperimente - Abteilung BlaumIon traps
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Denoising Autoencoders for Fast Combinatorial Black Box Optimization

2015

Estimation of Distribution Algorithms (EDAs) require flexible probability models that can be efficiently learned and sampled. Autoencoders (AE) are generative stochastic networks with these desired properties. We integrate a special type of AE, the Denoising Autoencoder (DAE), into an EDA and evaluate the performance of DAE-EDA on several combinatorial optimization problems with a single objective. We asses the number of fitness evaluations as well as the required CPU times. We compare the results to the performance to the Bayesian Optimization Algorithm (BOA) and RBM-EDA, another EDA which is based on a generative neural network which has proven competitive with BOA. For the considered pro…

FOS: Computer and information sciencesArtificial neural networkI.2.6business.industryFitness approximationComputer scienceNoise reductionI.2.8MathematicsofComputing_NUMERICALANALYSISComputer Science - Neural and Evolutionary ComputingMachine learningcomputer.software_genreAutoencoderOrders of magnitude (bit rate)Estimation of distribution algorithmBlack boxComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONNeural and Evolutionary Computing (cs.NE)Artificial intelligencebusinessI.2.6; I.2.8computerProceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
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A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory

2021

Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further challenges arise as the detector is situated at the geographic South Pole where computational resources are limited. However, to perform real-time analyses and to issue alerts to telescopes around the world, powerful and fast reconstruction methods are desired. Deep neural networks can be extremely powerful, and their usage is computationally inexpensive once the networks are trained. These characteristics make a deep learning-based approach an excellent candidate for the application in IceCube. A reconstruction …

FOS: Computer and information sciencesComputer Science - Machine LearningAstrophysics::High Energy Astrophysical Phenomenacs.LGData analysisFOS: Physical sciencesFitting methods01 natural sciencesConvolutional neural networkCalibration; Cluster finding; Data analysis; Fitting methods; Neutrino detectors; Pattern recognitionHigh Energy Physics - ExperimentIceCube Neutrino ObservatoryMachine Learning (cs.LG)High Energy Physics - Experiment (hep-ex)Pattern recognition0103 physical sciencesNeutrino detectors010303 astronomy & astrophysicsInstrumentationMathematical Physics010308 nuclear & particles physicsbusiness.industryhep-exDeep learningCluster findingDetectorNeutrino detectorComputer engineeringOrders of magnitude (time)13. Climate actionCascadeCalibrationPattern recognition (psychology)Artificial intelligencebusiness
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Chalcogenide thin films for direct resistors fabrication and trimming

2004

Abstract The fabrication of thin film resistors based on Ge–Sb–Te chalcogenide alloys is proposed. By exploiting the phase change properties of the deposited film, a laser beam is used for inducing a transition from high to low resistivity along selected paths. Conductivity changes as high as four orders of magnitude can be routinely achieved. This candidates the technique for maskless fabrication of compact precision resistors for a variety of applications.

FabricationMaterials scienceChalcogenideOrders of magnitude (temperature)business.industryMechanical EngineeringPhysics::OpticsConductivityCondensed Matter PhysicsLaser trimmingComputer Science::Otherlaw.inventionCondensed Matter::Materials Sciencechemistry.chemical_compoundchemistryMechanics of MaterialsElectrical resistivity and conductivitylawOptoelectronicsGeneral Materials ScienceThin filmResistorbusiness
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Liquid-phase alkali-doping of individual carbon nanotube field-effect transistors observed in real-time

2011

The carbon nanotube (CNT) is known to be very sensitive to changes in its surrounding environment. Our study is on the effects of mild, liquid-phase alkali-doping on electronic transport in individual CNTs. We find clear and consistent reversal from p- to n-type behavior, with all seven investigated CNT field-effect transistors (FETs) retaining a similar ON/OFF ratio and subthreshold slope. We have also measured the realtime electronic response during liquid-phase doping, and demonstrate detection of alkali cations with a signal response that ranges over more than three orders of magnitude. The doping is fully reversible upon exposure to oxygen, and the doping cycle is repeatable. We also c…

FabricationMaterials scienceta114Orders of magnitude (temperature)DopingTransistortechnology industry and agricultureNanotechnologyGeneral ChemistryCarbon nanotubeSubthreshold slopeRedoxlaw.inventionChemical physicslawGeneral Materials ScienceField-effect transistorta116Carbon
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Are we sure we know how to measure 8-oxo-7,8-dihydroguanine in DNA from human cells?

2004

The most commonly measured marker of oxidative DNA damage is 8-oxo-7,8-dihydroguanine (8-oxoGua) or its deoxyribonucleoside (8-oxodGuo). Published estimates of the concentration of 8-oxoGua/8-oxodGuo in DNA of normal human cells vary over a range of three orders of magnitude. Analysis by chromatographic methods (GC-MS, HPLC with electrochemical detection (ECD) or HPLC-MS/MS) is beset by the problem of adventitious oxidation of guanine during sample preparation. An alternative approach, based on the use of the DNA repair enzyme formamidopyrimidine DNA N-glycosylase (FPG) to make breaks in the DNA at sites of the oxidised base, gives much lower values. ESCODD, the European Standards Committee…

GuanineDNA damageDNA repairOligonucleotideGuanineBiophysicsDNA oxidationDNABiologyBiochemistryMolecular biologyOrders of magnitude (mass)Deoxyribonucleosidechemistry.chemical_compoundchemistryBiochemistryNeoplasmsAnimalsHumansCattleMolecular BiologyOxidation-ReductionDNADNA DamageHeLa CellsArchives of biochemistry and biophysics
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New ephemeris of the ADC source 2A 1822-371: a stable orbital-period derivative over 30 years

2010

We report on a timing of the eclipse arrival times of the low mass X-ray binary and X-ray pulsar 2A 1822-371 performed using all available observations of the Proportional Counter Array on board the Rossi X-ray Timing Explorer, XMM-Newton pn, and Chandra. These observations span the years from 1996 to 2008. Combining these eclipse arrival time measurements with those already available covering the period from 1977 to 1996, we obtain an orbital solution valid for more than thirty years. The time delays calculated with respect to a constant orbital period model show a clear parabolic trend, implying that the orbital period in this source constantly increases with time at a rate $\dot P_orb = …

High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsAstrofisicaGravitational waveAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstronomy and AstrophysicsAstrophysicsOrbital periodAstrophysics - Astrophysics of Galaxiessymbols.namesakeNeutron starSettore FIS/05 - Astronomia E AstrofisicaPulsarOrders of magnitude (time)Space and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)Eddington luminositysymbolsAstrophysics - High Energy Astrophysical PhenomenaLow MassEclipse
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Derivation of the physical parameters of the jet in S5 0836+710 from stability analysis

2019

A number of extragalactic jets show periodic structures at different scales that can be associated with growing instabilities. The wavelengths of the developing instability modes and their ratios depend on the flow parameters, so the study of those structures can shed light on jet physics at the scales involved. In this work, we use the fits to the jet ridgeline obtained from different observations of S5 B0836$+$710 and apply stability analysis of relativistic, sheared flows to derive an estimate of the physical parameters of the jet. Based on the assumption that the observed structures are generated by growing Kelvin-Helmholtz (KH) instability modes, we have run numerical calculations of s…

High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsJet (fluid)Internal energyAstrophysics::High Energy Astrophysical PhenomenaComputer Science::Information RetrievalFOS: Physical sciencesAstronomy and AstrophysicsAstrophysicsRadius01 natural sciencesInstabilityComputational physicsWavelengthsymbols.namesakeLorentz factorOrders of magnitude (time)Mach numberSpace and Planetary Science0103 physical sciencessymbolsHigh Energy Physics::ExperimentAstrophysics - High Energy Astrophysical Phenomena010306 general physics010303 astronomy & astrophysicsAstronomy & Astrophysics
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