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Z-dependent Barriers in Multifragmentation from Poissonian Reducibility and Thermal Scaling  [PDF]
L. Beaulieu,L. Phair,L. G. Moretto,G. J. Wozniak
Physics , 1998, DOI: 10.1103/PhysRevLett.81.770
Abstract: We explore the natural limit of binomial reducibility in nuclear multifragmentation by constructing excitation functions for intermediate mass fragments (IMF) of a given element Z. The resulting multiplicity distributions for each window of transverse energy are Poissonian. Thermal scaling is observed in the linear Arrhenius plots made from the average multiplicity of each element. ``Emission barriers'' are extracted from the slopes of the Arrhenius plots and their possible origin is discussed.
Resilient Reducibility in Nuclear Multifragmentation  [PDF]
L. G. Moretto,L. Phair,G. J. Wozniak
Physics , 1999, DOI: 10.1103/PhysRevC.60.031601
Abstract: The resilience to averaging over an initial energy distribution of reducibility and thermal scaling observed in nuclear multifragmentation is studied. Poissonian reducibility and the associated thermal scaling of the mean are shown to be robust. Binomial reducibility and thermal scaling of the elementary probability are robust under a broad range of conditions. The experimental data do not show any indication of deviation due to averaging.
KNO scaling function of modified negative binomial distribution  [PDF]
N. Nakajima,M. Biyajima,N. Suzuki
Physics , 1996,
Abstract: We investigate the KNO scaling function of the modified negative binomial distribution (MNBD), because this MNBD can explain the oscillating behaviors of the cumulant moment observed in $e^+e^-$ annihilations and in hadronic collisions. By using a straightforward method and the Poisson transform we derive the KNO scaling function from the MNBD. The KNO form of experimental data in $e^{+}e^{-}$ collisions and hadronic collisions are analyzed by the KNO scaling function of the MNBD and that of the negative binomial distribution (NBD). The KNO scaling function of the MNBD describes the data as well as that of the NBD.
Anomalous scaling in depinning transitions  [PDF]
Onuttom Narayan
Physics , 2000, DOI: 10.1103/PhysRevE.62.R7563
Abstract: It is demonstrated that the renormalization group (RG) flows of depinning transitions do not depend on whether the driving force or the system velocity is kept constant. This allows for a comparison between RG results and corresponding self-organized critical models. However, close to the critical point, scaling functions cross over to forms that can have singular behavior not seen in equilibrium thermal phase transitions. These can be different for the constant force and constant velocity driving modes, leading to different apparent critical exponents. This is illustrated by comparing extremal dynamics for interface depinning with RG results, deriving the change in apparent exponents. Thus care has to be exercised in such comparisons.
Nuclear multifragmentation, percolation and the Fisher Droplet Model: common features of reducibility and thermal scaling  [PDF]
J. B. Elliott,L. G. Moretto,L. Phair,G. J. Wozniak,the EOS Collaboration
Physics , 2000, DOI: 10.1103/PhysRevLett.85.1194
Abstract: It is shown that the Fisher Droplet Model (FDM), percolation and nuclear multifragmentation share the common features of reducibility (stochasticity in multiplicity distributions) and thermal scaling (one-fragment production probabilities are Boltzmann factors). Barriers obtained, for cluster production on percolation lattices, from the Boltzmann factors show a power-law dependence on cluster size with an exponent of 0.42 +- 0.02. The EOS Au multifragmentation data yield barriers with a power-law exponent of 0.68 +- 0.03. Values of the surface energy coefficient of a low density nuclear system are also extracted.
Scaling of the entanglement spectrum near quantum phase transitions  [PDF]
L. Lepori,G. De Chiara,A. Sanpera
Physics , 2013, DOI: 10.1103/PhysRevB.87.235107
Abstract: The entanglement spectrum describing quantum correlations in many-body systems has been recently recognized as a key tool to characterize different quantum phases, including topological ones. Here we derive its analytically scaling properties in the vicinity of some integrable quantum phase transitions and extend our studies also to non integrable quantum phase transitions in one dimensional spin models numerically. Our analysis shows that, in all studied cases, the scaling of the difference between the two largest non degenerate Schmidt eigenvalues yields with good accuracy critical points and mass scaling exponents.
Dynamical quantum phase transitions: scaling and universality  [PDF]
Markus Heyl
Physics , 2015, DOI: 10.1103/PhysRevLett.115.140602
Abstract: Dynamical quantum phase transitions (DQPTs) at critical times appear as non-analyticities during nonequilibrium quantum real-time evolution. Although there is evidence for a close relationship between DQPTs and equilibrium phase transitions, a major challenge is still to connect to fundamental concepts such as scaling and universality. In this work, renormalization group transformations in complex parameter space are formulated for quantum quenches in Ising models showing that the DQPTs are critical points associated with unstable fixed points of equilibrium Ising models. Therefore, these DQPTs obey scaling and universality. On the basis of numerical simulations, signatures of these DQPTs in the dynamical buildup of spin correlations are found with an associated power-law scaling determined solely by the fixed point's universality class. An outlook is given on how to explore this dynamical scaling experimentally in systems of trapped ions.
Size Matters: Origin of Binomial Scaling in Nuclear Fragmentation Experiments  [PDF]
Wolfgang Bauer,Scott Pratt
Physics , 1998, DOI: 10.1103/PhysRevC.59.2695
Abstract: The relationship between measured transverse energy, total charge recovered in the detector, and size of the emitting system is investigated. Using only very simple assumptions, we are able to reproduce the observed binomial emission probabilities and their dependences on the transverse energy.
Analyses of multiplicity distributions by means of the Modified Negative Binomial Distribution and its KNO scaling function  [PDF]
T. Osada,N. Nakajima,M. Biyajima,N. Suzuki
Physics , 1998, DOI: 10.1143/PTP.98.1289
Abstract: We analyze various data of multiplicity distributions by means of the Modified Negative Binomial Distribution (MNBD) and its KNO scaling function, since this MNBD explains the oscillating behavior of the cumulant moment observed in e^+e^- annihilations, h-h collisions and e-p collisions. In the present analyses, we find that the MNBD(discrete distributions) describes the data of charged particles in e^+e^- annihilations much better than the Negative Binomial Distribution (NBD). To investigate stochastic property of the MNBD, we derive the KNO scaling function from the discrete distribution by using a straightforward method and the Poisson transform. It is a new KNO function expressed by the Laguerre polynomials. In analyses of the data by using the KNO scaling function, we find that the MNBD describes the data better than the gamma function.Thus, it can be said that the MNBD is one of useful formulas as well as NBD.
Scaling of entanglement entropy across Lifshitz transitions  [PDF]
Marlon Rodney,H. Francis Song,Sung-Sik Lee,Karyn Le Hur,Erik Sorensen
Physics , 2012, DOI: 10.1103/PhysRevB.87.115132
Abstract: We investigate the scaling of the bipartite entanglement entropy across Lifshitz quantum phase transitions, where the topology of the Fermi surface changes without any changes in symmetry. We present both numerical and analytical results which show that Lifshitz transitions are characterized by a well-defined set of critical exponents for the entanglement entropy near the phase transition. In one dimension, we show that the entanglement entropy exhibits a length scale that diverges as the system approaches a Lifshitz critical point. In two dimensions, the leading and sub-leading coefficients of the scaling of entanglement entropy show distinct power-law singularities at critical points. The effect of weak interactions is investigated using the density matrix renormalization group algorithm.
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