1,350 research outputs found

    Depinning of domain walls with an internal degree of freedom

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    Taking into account the coupling between the position of the wall and an internal degree of freedom, namely its phase Ï•\phi, we examine, in the rigid wall approximation, the dynamics of a magnetic domain wall subject to a weak pinning potential. We determine the corresponding force-velocity characteristics, which display several unusual features when compared to standard depinning laws. At zero temperature, there exists a bistable regime for low forces, with a logarithmic behavior close to the transition. For weak pinning, there occurs a succession of bistable transitions corresponding to different topological modes of the phase evolution. At finite temperature, the force-velocity characteristics become non-monotonous. We compare our results to recent experiments on permalloy nanowires

    The Relationship Between Firm Resources and Joint Ventures: Revisited

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    Purpose – This study is a replication of Wolff and Reed’s (2000) work. The purpose of this paper is to examine how the combination of resources brought to joint ventures influence parent-firm performance. This study is also interested in whether or not the exposure of immobile resources through the semi-transparent membrane of the joint venture can have negative effects on parent-firm performance. Design/methodology/approach – The sample consists of two-parent joint ventures formed by publicly traded US firms between 1997 and 2013. The event-study methodology is used to calculate each parent-firm’s abnormal returns. This work also uses content analysis to analyze parent-firms’ annual reports (10-K). Findings – While Wolff and Reed’s results on resource allocation within joint ventures were not statistically significant, this replication study provided strong support to the resource allocation hypothesis. It was found that intangible resource heterogeneity within a joint venture creates higher performance gains for parent-firms than tangible resource heterogeneity. This work also successfully replicated Wolff and Reed’s findings on the negative impact of immobile resources exposure on parent-firm performance. Wolff and Reed’s results on resource complementarity were, however, not successfully replicated. Originality/value – This replication study goes beyond simply showing that engaging in a joint venture strategy creates value for parent-firms. Through the use of a new content analysis method, this study was able to provide strong support for Wolff and Reed’s theory on the performance gains provided by resource heterogeneity in a joint venture setting, and to confirm the results on potential adverse performance effects of immobile resources exposure

    Combination of carbon nanotubes and two-photon absorbers for broadband optical limiting

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    New systems are required for optical limiting against broadband laser pulses. We demonstrate that the association of non-linear scattering from single-wall carbon nanotubes (SWNT) and multiphoton absorption (MPA) from organic chromophores is a promising approach to extend performances of optical limiters over broad spectral and temporal ranges. Such composites display high linear transmission and good neutral colorimetry and are particularly efficient in the nanosecond regime due to cumulative effects.Comment: 5 avril 200

    The Effect of 3D Transport-induced Disequilibrium Carbon Chemistry on the Atmospheric Structure, Phase Curves, and Emission Spectra of Hot Jupiter HD 189733b

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    On hot Jupiter exoplanets, strong horizontal and vertical winds should homogenize the abundances of the important absorbers CH4 and CO much faster than chemical reactions restore chemical equilibrium. This effect, typically neglected in general circulation models (GCMs), has been suggested to explain discrepancies between observed infrared light curves and those predicted by GCMs. On the nightsides of several hot Jupiters, GCMs predict outgoing fluxes that are too large, especially in the Spitzer. 4.5 mu m band. We modified the SPARC/MITgcm to include disequilibrium abundances of CH4, CO, and H2O by assuming that the CH4/CO ratio is constant throughout the simulation domain. We ran simulations of hot Jupiter HD 189733b with eight CH4/CO ratios. In the more likely CO-dominated regime, we find temperature changes. >= 50-100 K compared to the simulation for equilibrium chemistry across large regions. This effect is large enough to affect predicted emission spectra and should thus be included in GCMs of hot Jupiters with equilibrium temperatures between 600 and 1300 K. We find that spectra in regions with strong methane absorption, including the Spitzer. 3.6 and 8 mu m bands, are strongly impacted by disequilibrium abundances. We expect chemical quenching to result in much larger nightside fluxes in the 3.6 mu m band, in stark contrast to observations. Meanwhile, we find almost no effect on predicted observations in the 4.5 mu m band, because the changes in opacity due to CO and H2O offset each other. We thus conclude that disequilibrium carbon chemistry cannot explain the observed low nightside fluxes in the 4.5 mu m band.NASA Origins grant [NNX12AI79G]; NASA Headquarters under the NASA Earth and Space Science Fellowship Program [80NSSC18K1248]; Heising-Simons FoundationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

    Accelerated gravitational wave parameter estimation with reduced order modeling.

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    This is the author accepted manuscript. The final version is available from APS via http://link.aps.org/doi/10.1103/PhysRevLett.114.071104Inferring the astrophysical parameters of coalescing compact binaries is a key science goal of the upcoming advanced LIGO-Virgo gravitational-wave detector network and, more generally, gravitational-wave astronomy. However, current approaches to parameter estimation for these detectors require computationally expensive algorithms. Therefore, there is a pressing need for new, fast, and accurate Bayesian inference techniques. In this Letter, we demonstrate that a reduced order modeling approach enables rapid parameter estimation to be performed. By implementing a reduced order quadrature scheme within the LIGO Algorithm Library, we show that Bayesian inference on the 9-dimensional parameter space of nonspinning binary neutron star inspirals can be sped up by a factor of ∼30 for the early advanced detectors' configurations (with sensitivities down to around 40 Hz) and ∼70 for sensitivities down to around 20 Hz. This speedup will increase to about 150 as the detectors improve their low-frequency limit to 10 Hz, reducing to hours analyses which could otherwise take months to complete. Although these results focus on interferometric gravitational wave detectors, the techniques are broadly applicable to any experiment where fast Bayesian analysis is desirable.P. C.’s work was supported by a Marie Curie Intra-European Fellowship within the 7th European Community Framework Programme PIEF-GA-2011-299190, FP7-PEOPLE-2011-CIG Grant No. 293412 and STFC Consolidator Grant No. ST/L000636/1. S. E. F. thanks the Institute of Astronomy at Cambridge, UK, where part of this work was done, for hospitality and financial support. J. G.’s work was supported by the Royal Society and V. R. by the LIGO Laboratory and the California Institute of Technology (Caltech). This work was supported in part by NSF Grant No. PHY-1208861 and No. PHY-1316424 to the University of Maryland (UMD), NSF Grant No. PHY-1500818 to the University of California at San Diego, NSF Grants No. PHY-1306125 and No. AST-1333129 to Cornell University, and the Sherman Fairchild Foundation. The authors also gratefully acknowledge the support of the U.S. National Science Foundation for the construction and operation of the LIGO Laboratory under cooperative agreement NSF-PHY-0757058. This paper carries LIGO Document Number LIGO-P1400038. Some of the computations were carried out at the Center for Scientific Computation and Mathematical Modeling cluster at UMD and the LIGO Laboratory computer cluster at Caltech. Portions of this research were conducted with high performance computing resources provided by Louisiana State Universit

    Low temperature thermodynamic properties near the field-induced quantum critical point in DTN

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    We present a comprehensive experimental and theoretical investigation of the thermodynamic properties: specific heat, magnetization and thermal expansion in the vicinity of the field-induced quantum critical point (QCP) around the lower critical field Hc1≈2H_{c1} \approx 2\,T in DTN . A T3/2T^{3/2} behavior in the specific heat and magnetization is observed at very low temperatures at H=Hc1H=H_{c1} that is consistent with the universality class of Bose-Einstein condensation of magnons. The temperature dependence of the thermal expansion coefficient at Hc1H_{c1} shows minor deviations from the expected T1/2T^{1/2} behavior. Our experimental study is complemented by analytical calculations and Quantum Monte Carlo simulations, which reproduce nicely the measured quantities. We analyze the thermal and the magnetic Gr\"{u}neisen parameters that are ideal quantities to identify QCPs. Both parameters diverge at Hc1H_{c1} with the expected T−1T^{-1} power law. By using the Ehrenfest relations at the second order phase transition, we are able to estimate the pressure dependencies of the characteristic temperature and field scales.Comment: 11 paged, 10 figures, submitted to PR

    Priming by Timing: Arabidopsis thaliana Adjusts Its Priming Response to Lepidoptera Eggs to the Time of Larval Hatching

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    Plants can respond to eggs laid by herbivorous insects on their leaves by preparing (priming) their defense against the hatching larvae. Egg-mediated priming of defense is known for several plant species, including Brassicaceae. However, it is unknown yet for how long the eggs need to remain on a plant until a primed defense state is reached, which is ecologically manifested by reduced performance of the hatching larvae. To address this question, we used Arabidopsis thaliana, which carried eggs of the butterfly Pieris brassicae for 1-6 days prior to exposure to larval feeding. Our results show that larvae gained less biomass the longer the eggs had previously been on the plant. The strongest priming effect was obtained when eggs had been on the plant for 5 or 6 days, i.e., for (almost) the entire development time of the Pieris embryo inside the egg until larval hatching. Transcript levels of priming-responsive genes, levels of jasmonic acid-isoleucine (JA-Ile), and of the egg-inducible phytoalexin camalexin increased with the egg exposure time. Larval performance studies on mutant plants revealed that camalexin is dispensable for anti-herbivore defense against P. brassicae larvae, whereas JA-Ile - in concert with egg-induced salicylic acid (SA) - seems to be important for signaling egg-mediated primed defense. Thus, A. thaliana adjusts the kinetics of its egg-primed response to the time point of larval hatching. Hence, the plant is optimally prepared just in time prior to larval hatching

    A numerical approach to large deviations in continuous-time

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    We present an algorithm to evaluate the large deviation functions associated to history-dependent observables. Instead of relying on a time discretisation procedure to approximate the dynamics, we provide a direct continuous-time algorithm, valuable for systems with multiple time scales, thus extending the work of Giardin\`a, Kurchan and Peliti (PRL 96, 120603 (2006)). The procedure is supplemented with a thermodynamic-integration scheme, which improves its efficiency. We also show how the method can be used to probe large deviation functions in systems with a dynamical phase transition -- revealed in our context through the appearance of a non-analyticity in the large deviation functions.Comment: Submitted to J. Stat. Mec
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