Search results for "cement"

showing 10 items of 2662 documents

"Figure 11" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron $R_{dA}$ 60-88% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figure 8" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron RdA 0-20% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figure 9" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron $R_{dA}$ 20-40% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figure 7" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron $R_{dA}$ 0-100% d+Au collisions. The nuclear modification factors $R_{dA}$ and $R_{AA}$ for minimum bias $d$+Au and Au+Au collisions, for the $\pi^{0}$ and $e^{\pm}_{HF}$. The two boxes on the right side of the plot represent the global uncertainties in the $d$+Au (left) and Au+Au (right) values of $N_{coll}$ . An additional common global scaling uncertainty of 9.7% on $R_{dA}$ and $R_{AA}$ from the $p+p$ reference data is omitted for clarity.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figures 3-6" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron yield, $d$+Au $\implies$ CHARGED X. Electrons from heavy flavor decays, separated by centrality. The lines represent a fit to the previous $p+p$ result [23], scaled by $N_{coll}$. The inset shows the ratio of photonic background electrons determined by the converter and cocktail methods for Minimum Bias $d$+Au collisions, with error bars (boxes) that represent the statistical uncertainty on the converter data (systematic uncertainty on the photonic-electron cocktail).

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figure 10" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron $R_{dA}$ 40-60% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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"Figures 1-2" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"

2023

Heavy flavor electron yield, Run-8 $p$ + $p$, $d$+Au collisions. Electrons from heavy flavor decays, separated by centrality. The lines represent a fit to the previous $p+p$ result [23], scaled by $N_{coll}$. The inset shows the ratio of photonic background electrons determined by the converter and cocktail methods for Minimum Bias $d$+Au collisions, with error bars (boxes) that represent the statistical uncertainty on the converter data (systematic uncertainty on the photonic-electron cocktail).

$d$ + Au$\implies$ CHARGED Xheavy flavor electronlight flavor mesonsmass-dependent Cronin enhancementRelativistic Heavy Ion Collider$p + p$ $\implies$ CHARGED Xheavy $D$ meson familyheavy flavor mesons200.0ppg131
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Reinforcement learning approach to nonequilibrium quantum thermodynamics

2021

We use a reinforcement learning approach to reduce entropy production in a closed quantum system brought out of equilibrium. Our strategy makes use of an external control Hamiltonian and a policy gradient technique. Our approach bears no dependence on the quantitative tool chosen to characterize the degree of thermodynamic irreversibility induced by the dynamical process being considered, require little knowledge of the dynamics itself and does not need the tracking of the quantum state of the system during the evolution, thus embodying an experimentally non-demanding approach to the control of non-equilibrium quantum thermodynamics. We successfully apply our methods to the case of single- …

---Computer scienceFOS: Physical sciencesGeneral Physics and AstronomyNon-equilibrium thermodynamics01 natural sciencesSettore FIS/03 - Fisica Della Materia010305 fluids & plasmassymbols.namesakeQuantum stateSHORTCUTS0103 physical sciencesQuantum systemReinforcement learningStatistical physics010306 general physicsQuantum thermodynamicsCondensed Matter - Statistical MechanicsADIABATICITYQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)Entropy productionENTROPYsymbolsQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)
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Synchronous precessional motion of multiple domain in a ferromagnetic nanowire by perpendicular field pulses

2014

Magnetic storage and logic devices based on magnetic domain wall motion rely on the precise and synchronous displacement of multiple domain walls. The conventional approach using magnetic fields does not allow for the synchronous motion of multiple domains. As an alternative method, synchronous current-induced domain wall motion was studied, but the required high-current densities prevent widespread use in devices. Here we demonstrate a radically different approach: we use out-of-plane magnetic field pulses to move in-plane domains, thus combining field-induced magnetization dynamics with the ability to move neighbouring domain walls in the same direction. Micromagnetic simulations suggest …

010302 applied physicsPhysicsMagnetization dynamicsMultidisciplinaryMagnetic domainCondensed matter physicsField (physics)Magnetic storageGeneral Physics and Astronomy02 engineering and technologyGeneral Chemistry021001 nanoscience & nanotechnology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyDisplacement (vector)Articlelaw.inventionDomain (software engineering)Magnetic fieldNuclear magnetic resonanceDomain wall (magnetism)law0103 physical sciencesddc:5300210 nano-technologyNature Communications
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Impact of basin burial and exhumation on Jurassic carbonates diagenesis on both sides of a thick clay barrier (Paris Basin, NE France).

2014

27 pages; International audience; Several diagenetic models have been proposed for Middle and Upper Jurassic carbonates of the eastern Paris Basin. The paragenetic sequences are compared in both aquifers to propose a diagenetic model for the Middle and Late Jurassic deposits as a whole. Petrographic (optical and cathodoluminescence microscopy), structural (fracture orientations) and geochemical (δ18O, δ13C, REE) studies were conducted to characterize diagenetic cements, with a focus on blocky calcite cements, and their connection with fracturation events. Four generations of blocky calcite (Cal1-Cal4) are identified. Cal1 and Cal2 are widespread in the dominantly grain-supported facies of t…

010504 meteorology & atmospheric sciencesEvaporiteCarbonateStratigraphyGeochemistryJurassic[ SDU.STU.ST ] Sciences of the Universe [physics]/Earth Sciences/Stratigraphy010502 geochemistry & geophysicsOceanography01 natural sciencesDiagenesisPetrographyOxygen and carbon isotopesPaleontologychemistry.chemical_compoundParis Basin[ SDU.STU.MI ] Sciences of the Universe [physics]/Earth Sciences/MineralogyRare earth elements0105 earth and related environmental sciencesCalciteGeologyCementation (geology)6. Clean waterCretaceousDiagenesisGeophysicschemistry[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/StratigraphyFaciesEconomic GeologyPaleogeneGeology[SDU.STU.MI]Sciences of the Universe [physics]/Earth Sciences/Mineralogy
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