Search results for "QB"

showing 10 items of 522 documents

"Table 9" of "Search for heavy Higgs bosons decaying into two tau leptons with the ATLAS detector using $pp$ collisions at $\sqrt{s}=13$ TeV"

2020

The expected 95% CL upper limits with plus one sigma on $\tan\beta$ as a function of $m_{A}$ in the $M_{h}^{125}$ scenario. The lowest value of $\tan\beta$ considered for the $M_{h}^{125}$ scenario is 0.5. The points in the region which is called "Not applicable" in the paper figure are kept in the HEPData table. Linear connection is applied in the range of signal mass points from 400 to 1000 GeV in the paper figure. The range of $\tan\beta$ shown in the paper figure and the HEPData is from 1 to 60. No theoretical uncertainty is considered when computing these limits.

InclusiveP P --> TAU+ TAU- BQ BQBAR X13000.0Proton-Proton ScatteringIntegrated Cross SectionCross SectionSIGHiggs
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"Table 2" of "The Forward - backward asymmetry for charm quarks at the Z pole"

1995

No description provided.

InclusiveSIN2TWAsymmetry MeasurementCharm productionE+ E- ScatteringE+ E- --> CQBAR CQE+ E- --> ZExclusiveE+ E- --> D*(2010)- X91.2E+ E- --> D*(2010)+ XASYM
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"Table 1" of "A measurement of alpha(s) from the scaling violation in e+ e- annihilation."

1996

SIG(Q=BQ, Q=CQ, Q=UDS) corresponds to BQ, CQ, and U,D,S quarks fragmentation into charged hadron.

InclusiveSingle Differential Cross SectionE+ E- --> DQBAR DQE+ E- --> SQBAR SQE+ E- ScatteringE+ E- --> CQBAR CQE+ E- --> BQBAR BQE+ E- --> UQBAR UQExclusive91.2DSIG/DXE+ E- --> CHARGED-HADRON X
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Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

2016

The continuously growing framework of information dynamics encompasses a set of tools, rooted in information theory and statistical physics, which allow to quantify different aspects of the statistical structure of multivariate processes reflecting the temporal dynamics of complex networks. Building on the most recent developments in this field, this work designs a complete approach to dissect the information carried by the target of a network of multiple interacting systems into the new information produced by the system, the information stored in the system, and the information transferred to it from the other systems; information storage and transfer are then further decomposed into amou…

Information transferDynamical systems theoryComputer scienceGeneral Physics and Astronomylcsh:AstrophysicsInformation theorycomputer.software_genreMachine learning01 natural sciencesEntropy - Cardiorespiratory interactions - Dynamical systems -cardiovascular interactions03 medical and health sciencessymbols.namesake0302 clinical medicinelcsh:QB460-4660103 physical sciencesinformation transferEntropy (information theory)lcsh:Science010306 general physicsGaussian processautoregressive processesmultivariate time series analysisbusiness.industryautonomic nervous systemredundancy and synergycardiorespiratory interactionsdynamical systemsComplex networkNetwork dynamicslcsh:QC1-999autonomic nervous system; autoregressive processes; cardiorespiratory interactions; cardiovascular interactions; Granger causality; dynamical systems; information dynamics; information transfer; redundancy and synergy; multivariate time series analysisAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalitysymbolslcsh:QArtificial intelligenceData mininginformation dynamicsbusinesscomputerlcsh:Physics030217 neurology & neurosurgeryEntropy; Volume 19; Issue 1; Pages: 5
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Synergistic Information Transfer in the Global System of Financial Markets.

2020

Uncovering dynamic information flow between stock market indices has been the topic of several studies which exploited the notion of transfer entropy or Granger causality, its linear version. The output of the transfer entropy approach is a directed weighted graph measuring the information about the future state of each target provided by the knowledge of the state of each driving stock market index. In order to go beyond the pairwise description of the information flow, thus looking at higher order informational circuits, here we apply the partial information decomposition to triplets consisting of a pair of driving markets (belonging to America or Europe) and a target market in Asia. Our …

Information transferFLOWGeneral Physics and Astronomysynergylcsh:AstrophysicsGRANGER CAUSALITYArticleeconometricsstock marketBusiness and EconomicsGranger causalityFinancial marketsHigher order dependencies SynergyOrder (exchange)lcsh:QB460-466EconomicsEconometricsfinancial marketsInformation flow (information theory)NETWORKlcsh:Scienceinformation theoryhigher order dependenciesCROSS-CORRELATIONSFinancial marketStock market indexlcsh:QC1-999Mathematics and Statisticstime series analysislcsh:QTransfer entropyStock marketlcsh:PhysicsEntropy (Basel, Switzerland)
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Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress

2019

In this study, an analysis of brain, cardiovascular and respiratory dynamics was conducted combining information-theoretic measures with the Network Physiology paradigm during different levels of mental stress. Starting from low invasive recordings of electroencephalographic, electrocardiographic, respiratory, and blood volume pulse signals, the dynamical activity of seven physiological systems was probed with one-second time resolution measuring the time series of the &delta

Information transferInformation dynamicsComputer scienceStress assessmentGeneral Physics and Astronomylcsh:Astrophysics030204 cardiovascular system & hematologyNetwork topologynetwork physiologyInformation Theory Network Physiology StressArticlePhysics and Astronomy (all)03 medical and health sciences0302 clinical medicineRhythmwearable deviceslcsh:QB460-466stress assessmentlcsh:ScienceSubnetworkNetwork physiologyPulse (signal processing)Node (networking)Information dynamics; Network physiology; Stress assessment; Wearable deviceslcsh:QC1-999Wearable devicesPeripheralInformation dynamics; Network physiology; Stress assessment; Wearable devices; Physics and Astronomy (all)lcsh:QWakefulnessinformation dynamicsNeurosciencelcsh:Physics030217 neurology & neurosurgeryEntropy
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Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics

2021

Apnea and other breathing-related disorders have been linked to the development of hypertension or impairments of the cardiovascular, cognitive or metabolic systems. The combined assessment of multiple physiological signals acquired during sleep is of fundamental importance for providing additional insights about breathing disorder events and the associated impairments. In this work, we apply information-theoretic measures to describe the joint dynamics of cardiorespiratory physiological processes in a large group of patients reporting repeated episodes of hypopneas, apneas (central, obstructive, mixed) and respiratory effort related arousals (RERAs). We analyze the heart period as the targ…

Information transfermedicine.medical_specialtyScienceQC1-999General Physics and AstronomyAstrophysics01 natural sciencesArticle010305 fluids & plasmas03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitation0103 physical sciencesrespiratory effort-related arousal (RERA)MedicineVagal toneinformation dynamicbusiness.industryPhysicsQCardiorespiratory interactionApneaCardiorespiratory fitnessCognitioncardiorespiratory interactionsapneaRisk factor (computing)QB460-466Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaBreathingSleep (system call)medicine.symptominformation dynamicsentropybusiness030217 neurology & neurosurgeryEntropy
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The second data release of the INT Photometric Hα Survey of the Northern Galactic Plane (IPHAS DR2)

2014

The INT/WFC Photometric H-Alpha Survey of the Northern Galactic Plane (IPHAS) is a 1800 square degrees imaging survey covering Galactic latitudes |b| < 5 deg and longitudes l = 30 to 215 deg in the r, i and H-alpha filters using the Wide Field Camera (WFC) on the 2.5-metre Isaac Newton Telescope (INT) in La Palma. We present the first quality-controlled and globally-calibrated source catalogue derived from the survey, providing single-epoch photometry for 219 million unique sources across 92% of the footprint. The observations were carried out between 2003 and 2012 at a median seeing of 1.1 arcsec (sampled at 0.33 arcsec/pixel) and to a mean 5\sigma-depth of 21.2 (r), 20.0 (i) and 20.3 (H-a…

InfraredAstronomyFOS: Physical sciencesAstrophysics01 natural scienceslaw.inventionRoot mean squarePhotometry (optics)surveyslaw0103 physical sciencesQB460stellar content [Galaxy]010303 astronomy & astrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Solar and Stellar Astrophysics (astro-ph.SR)cataloguesPhysics010308 nuclear & particles physicsNewtonian telescopeVegaAstronomyAstronomy and AstrophysicsBeGalactic planeemission-line [stars]Astrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceComputingMethodologies_DOCUMENTANDTEXTPROCESSINGAstrophysics - Instrumentation and Methods for AstrophysicsData releaseData reduction
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The Gaia-ESO Survey: membership and initial mass function of the. Velorum cluster

2016

Understanding the properties of young open clusters, such as the Initial Mass Function (IMF), star formation history and dynamic evolution, is crucial to obtain reliable theoretical predictions of the mechanisms involved in the star formation process. We want to obtain a list, as complete as possible, of confirmed members of the young open cluster Gamma Velorum, with the aim of deriving general cluster properties such as the IMF. We used all available spectroscopic membership indicators within the Gaia-ESO public archive together with literature photometry and X-ray data and, for each method, we derived the most complete list of candidate cluster members. Then, we considered photometry, gra…

Initial mass functionStars: luminosity function mass functionStars: formationFOS: Physical sciencesTechniques: spectroscopicOpen clusters and associations: individual: γVelorum; Stars: formation; Stars: luminosity function mass function; Stars: pre-main sequence; Techniques: radial velocities; Techniques: spectroscopic; Astronomy and Astrophysics; Space and Planetary ScienceAstrophysicsStars: luminosity function01 natural sciencesstars: pre-main sequence / open clusters and associations: individual: γVelorum / stars: formation / stars: luminosity functionPhotometry (optics)stars: pre-main sequence / open clusters and associations: individual: γVelorum / stars: formation / stars: luminosity function mass function / techniques: radial velocities / techniques: spectroscopic0103 physical sciences010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)Open clusters and associations: individual: γVelorumQCQBPhysics010308 nuclear & particles physicsStar formationTechniques: radial velocitieAstronomy and Astrophysicsmass function / techniques: radial velocities / techniques: spectroscopicAstronomy and AstrophysicAstrophysics - Astrophysics of GalaxiesAstrophysics - Solar and Stellar AstrophysicsYoung populationmass functionSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)Techniques: radial velocitiesopen clusters and associations: individual: gamma VelorumStars: pre-main sequenceOpen cluster
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The Gaia-ESO Survey: The present-day radial metallicity distribution of the Galactic disc probed by pre-main-sequence clusters

2017

Full list of authors: Spina, L.; Randich, S.; Magrini, L.; Jeffries, R. D.; Friel, E. D.; Sacco, G. G.; Pancino, E.; Bonito, R.; Bravi, L.; Franciosini, E.; Klutsch, A.; Montes, D.; Gilmore, G.; Vallenari, A.; Bensby, T.; Bragaglia, A.; Flaccomio, E.; Koposov, S. E.; Korn, A. J.; Lanzafame, A. C. Smiljanic, R.; Bayo, A.; Carraro, G.; Casey, A. R.; Costado, M. T.; Damiani, F.; Donati, P.; Frasca, A.; Hourihane, A.; Jofré, P.; Lewis, J.; Lind, K.; Monaco, L.; Morbidelli, L.; Prisinzano, L.; Sousa, S. G.; Worley, C. C.; Zaggia, S.

Initial mass functionastro-ph.SRMetallicityMilky Wayastro-ph.GAFOS: Physical sciencesstars:abundancesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesevolution [Galaxy]Galaxy: diskpre-main sequence [Stars]0103 physical sciencesCluster (physics)Astrophysics::Solar and Stellar Astrophysicsgalaxy:disk010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy AstrophysicsQBPhysicsGalaxy: evolutiongeneral [Open clusters and associations]010308 nuclear & particles physicsStar formationstars: abundances; stars: pre-main sequence; Galaxy: abundances; Galaxy:disk; Galaxy: evolution; open clusters and associations: generalStars: abundancesabundances [Galaxy]galaxy:evolutionAstronomy and AstrophysicsOpen clusters and associations: generalAstrophysics - Astrophysics of GalaxiesSupernovaAstrophysics - Solar and Stellar Astrophysics13. Climate actionSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)abundances [Stars]stars:pre-main sequenceChamaeleonStars: pre-main sequenceGalaxy: abundancesAstrophysics::Earth and Planetary Astrophysicsdisk [Galaxy]galaxy:abundancesopen clusters and associations:generalOpen cluster
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