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相关论文: Improved Intermittency Analysis of Single Event Da…

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Recent progress on the event-by-event analysis of intermittent data by R. A. Janik and myself is reported. The intermittency analysis of single event data (particle moments) in multiparticle production is improved, taking into account…

高能物理 - 唯象学 · 物理学 2007-05-23 R. A. Janik , B. Ziaja

The possibility to study intermittency in a single event of high multiplicity is investigated in the framework of the $\alpha-$model. It is found that, for cascade long enough, the dispersion of intermittency exponents obtained from…

高能物理 - 唯象学 · 物理学 2009-10-28 A. Bialas , B. Ziaja

Recent discussion of the possibility to study intermittency in individual events of high multiplicity by A. Bialas and myself is reported. In the framework of $\alpha-$model it is found that, for a cascade long enough, the dispersion of…

高能物理 - 唯象学 · 物理学 2007-05-23 B. Ziaja

Erraticity analysis of multiparticle production data is introduced as a way of extracting the maximum amount of information on self-similar fluctuations. It is presented as the next logical step to take beyond the intermittency analysis. An…

高能物理 - 唯象学 · 物理学 2007-05-23 Rudolph C. Hwa

The improved method of intermittent data analysis is proposed. It exploits, in addition to the standard density moments, the information on the bin-bin correlations, observed in the data and expressed in terms of the density correlators.…

高能物理 - 唯象学 · 物理学 2007-05-23 B. Ziaja

Intermittency analysis of factorial moments is a promising method used for the detection of power-law scaling in high-energy collision data. In particular, it has been employed in the search of fluctuations characteristic of the critical…

数据分析、统计与概率 · 物理学 2025-07-03 Nikolaos Davis

We conduct a review to assess how the simulation of repeated or recurrent events are planned. For such multivariate time-to-events, it is well established that the underlying mechanism is likely to be complex and to involve in particular…

应用统计 · 统计学 2015-03-20 Juliette Pénichoux , Thierry Moreau , Aurélien Latouche

The analysis of event time series is in general challenging. Most time series analysis tools are limited for the analysis of this kind of data. Recurrence analysis, a powerful concept from nonlinear time series analysis, provides several…

混沌动力学 · 物理学 2024-09-16 Norbert Marwan

The distortion on the intermittency signal, due to detection efficiency and to the presence of pre--equilibrium emitted particles, is studied in a schematic model of nuclear multi- fragmentation. The source of the intermittency signal is…

核理论 · 物理学 2008-11-26 M. Baldo , A. Causa , A. Rapisarda

It is shown using Monte Carlo simulation that for low multiplicity events the single-event factorial moments are saturated by the statistical fluctuations. The diverse of the event-space moments $C_{p,q}$ of single-event moments with the…

高能物理 - 唯象学 · 物理学 2007-05-23 Liu Lianshou , Fu Jinghua , Wu Yuanfang

A procedure for the evaluation of correlators of any order in a reasonable computer time is presented. Connection between correlators and fluctuations of the event mean values of observables is discussed. Extension of the procedure to…

核理论 · 物理学 2008-11-26 N. Amelin , P. Filip , R. Lednicky , M. Pachr

We look at multiparticle production processes from the Information Theory point of view, both in its extensive and nonextensive versions. Examples of both symmetric (like pp or AA) and asymmetric (like pA) collisions are considered showing…

高能物理 - 唯象学 · 物理学 2009-11-11 O. V. Utyuzh , G. Wilk , Z. Wlodarczyk

Event-by-event intermittency analysis of Toy Monte Carlo events is performed in the scenario of high multiplicity events as is the case at recent colliders RHIC and LHC for AA collisions. A power law behaviour of Normalized Factorial…

高能物理 - 唯象学 · 物理学 2022-03-01 Sheetal Sharma , Ramni Gupta

This review article provides an overview of recent work in the modeling and analysis of recurrent events arising in engineering, reliability, public health, biomedicine and other areas. Recurrent event modeling possesses unique facets…

统计方法学 · 统计学 2007-08-03 Edsel A. Peña

It is demonstrated that in low multiplicity sample, the increase of the fluctuation of event-factorial-moments with the diminishing of phase space scale, called ``erraticity'', are dominated by the statistical fluctuations. The erraticity…

高能物理 - 唯象学 · 物理学 2007-05-23 Fu Jinghua , Wu Yuanfang , Liu Lianshou

Appealing to several multivariate information measures---some familiar, some new here---we analyze the information embedded in discrete-valued stochastic time series. We dissect the uncertainty of a single observation to demonstrate how the…

信息论 · 计算机科学 2015-05-28 Ryan G. James , Christopher J. Ellison , James P. Crutchfield

We present a procedure for reconstructing particle cascades from event data measured in a high energy physics experiment. For evaluating the hypothesis of a specific physics process causing the observed data, all possible reconstruction…

数据分析、统计与概率 · 物理学 2008-09-08 O. Actis , M. Erdmann , A. Henrichs , A. Hinzmann , M. Kirsch , G. Müller , J. Steggemann

The method of horizontal scaled factorial moments as outlined by Bialas and Peschanski was used to conduct intermittency analysis for $pp$ collisions at $\sqrt{s}=$ 0.9, 7 and 8 TeV from the CMS experiment. The data was obtained and…

高能物理 - 实验 · 物理学 2022-01-21 Z. Ong , P. Agarwal , H. W. Ang , A. H. Chan , C. H. Oh

Nonstatistical fluctuation in pseudorapidity ($\eta$), azimuthal ($\phi$), and pseudorapidity-azimuthal ($\eta-\phi$) distribution spectra of primary particles of PYTHIA Monash (default) generated $pp$ events at $\sqrt{s}=$ 2.76, 7, and 13…

高能物理 - 唯象学 · 物理学 2019-03-06 Buddhadeb Bhattacharjee , Pranjal Sarma

Scattering moments provide nonparametric models of random processes with stationary increments. They are expected values of random variables computed with a nonexpansive operator, obtained by iteratively applying wavelet transforms and…

统计方法学 · 统计学 2015-03-17 Joan Bruna , Stéphane Mallat , Emmanuel Bacry , Jean-François Muzy
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