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相关论文: Stochastic network view on hadron production

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Multiplicative random processes in (not necessaryly equilibrium or steady state) stochastic systems with many degrees of freedom lead to Boltzmann distributions when the dynamics is expressed in terms of the logarithm of the normalized…

adap-org · 物理学 2009-10-28 M. Levy , S. Solomon

In high energy p+p(bar) interactions the mean multiplicity and transverse mass spectra of neutral mesons from eta to Upsilon (m = 0.5 - 10 GeV/c^2) and the transverse mass spectra of pions (m_T > 1 GeV/c^2) reveal a remarkable behaviour:…

高能物理 - 唯象学 · 物理学 2009-11-07 Marek Gazdzicki , Mark I. Gorenstein

A shape of invariant differential cross section for hadron production as function of transverse momentum is analysed. The systematic analysis of the available data demonstrates a need for a modification of the parameterization traditionally…

高能物理 - 唯象学 · 物理学 2010-08-04 A. A. Rostovtsev , A. A. Bylinkin

A shape of invariant differential cross section for charged hadron production as function of transverse momentum measured in various collider experiments is analyzed. Contrary to the behavior of produced charged kaons, protons and…

高能物理 - 唯象学 · 物理学 2015-06-03 A. A. Bylinkin , A. A. Rostovtsev

A shape of statistical momentum distribution of hadrons produced in high energy particle collisions closely resembles one observed for a broad variety of phenomena in nature. An attempt was made to understand a genesis of this distribution…

高能物理 - 唯象学 · 物理学 2007-05-23 A. Kropivnitskaya , A. Rostovtsev

We give evidence that the production of DCC's during a non-equilibrium phase transition can lead to an anomalous transverse distribution of secondary pions when compared to a more conventional boost invariant hydrodynamic flow in local…

高能物理 - 唯象学 · 物理学 2008-11-26 F. Cooper , Y. Kluger , E. Mottola

Recently several authors have proposed stochastic models of the growth of the Web graph that give rise to power-law distributions. These models are based on the notion of preferential attachment leading to the ``rich get richer''…

无序系统与神经网络 · 物理学 2007-05-23 Mark Levene , Trevor Fenner , George Loizou , Richard Wheeldon

Recently several authors have proposed stochastic evolutionary models for the growth of complex networks that give rise to power-law distributions. These models are based on the notion of preferential attachment leading to the ``rich get…

软凝聚态物质 · 物理学 2007-05-23 Trevor Fenner , Mark Levene , George Loizou

Analysis of transverse momentum distributions is a useful tool to understand the dynamics of relativistic particles produced in high energy collision. Finding a proper distribution function to approximate the spectra is a vastly developing…

高能物理 - 唯象学 · 物理学 2023-02-22 Rohit Gupta , Anjaly Menon , Shubhangi Jain , Satyajit Jena

We present first observations of the transversity parton distribution based on an analysis of pion-pair production in deep inelastic scattering off transversely polarized targets. The extraction of transversity relies on the knowledge of…

高能物理 - 唯象学 · 物理学 2011-10-27 Alessandro Bacchetta , A. Courtoy , Marco Radici

The shapes of invariant differential cross section for charged particle production as function of transverse momentum measured in heavy-ion collisions are analyzed. The data measured at RHIC and LHC are treated as function of energy density…

高能物理 - 唯象学 · 物理学 2013-05-03 A. A. Bylinkin , A. A. Rostovtsev , N. S. Chernyavskaya

Statistical models of economic distributions lead to Boltzmann distributions rather than a Pareto power law. This result is supported by two facts: 1. the distributions of income, car sales, marriages or jobs are a matter of chances and…

统计力学 · 物理学 2008-12-02 J. Mimkes , Th. Fruend , G. Willis

It is shown that the classical description of pair production effect is possible, i.e. one can describe pair production without a reference to quantum principles. Pair production appears at statistical description of stochastic relativistic…

综合物理 · 物理学 2007-05-23 Yuri A. Rylov

Hard, or high transverse momentum, pion photoproduction can be a tool for probing the parton structure of the beam and target. We discuss the perturbative and soft processes that contribute, and show how regions where perturbative processes…

高能物理 - 唯象学 · 物理学 2007-05-23 Carl E. Carlson

The availability of large scale streaming network data has reinforced the ubiquity of power-law distributions in observations and enabled precision measurements of the distribution parameters. The increased accuracy of these measurements…

物理与社会 · 物理学 2021-08-23 Pat Devlin , Jeremy Kepner , Ashley Luo , Erin Meger

Gene expression has a stochastic component owing to the single molecule nature of the gene and the small number of copies of individual DNA binding proteins in the cell. We show how the statistics of such systems can be mapped on to quantum…

无序系统与神经网络 · 物理学 2009-11-10 Masaki Sasai , Peter G. Wolynes

A mechanism is proposed for the appearance of power law distributions in various complex systems. It is shown that in a conservative mechanical system composed of subsystems with different numbers of degrees of freedom a robust power-law…

统计力学 · 物理学 2018-01-03 Anirban Chakraborti , Marco Patriarca

Self-Organized Criticality paradigm is a plausible picture for hadron production. A power-law behavior of hadron transverse momentum spectra and an approximate scaling observed for different hadrons in high energy hadronic collisions are…

高能物理 - 唯象学 · 物理学 2007-05-23 A. Paramonov , A. Rostovtsev

Recently several authors have proposed stochastic evolutionary models for the growth of complex networks that give rise to power-law distributions. These models are based on the notion of preferential attachment leading to the ``rich get…

物理与社会 · 物理学 2007-05-23 Trevor Fenner , Mark Levene , George Loizou

Gene expression is significantly stochastic making modeling of genetic networks challenging. We present an approximation that allows the calculation of not only the mean and variance but also the distribution of protein numbers. We assume…

分子网络 · 定量生物学 2008-12-18 Vahid Shahrezaei , Peter S. Swain
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