Azimuthal pion fluctuation in ultra relativistic nuclear collisions and centrality dependence—a study with chaos based complex network analysis

Various works on multiplicity fluctuation have investigated the dynamics of particle production process and eventually have tried to reveal a signature of phase transition in ultra-relativistic nuclear collisions. Analysis of fluctuations of spatial patterns has been conducted in terms of conventional approach. However, analysis with fractal dynamics on the scaling behavior of the void has not been explored yet. In this work we have attempted to analyze pion fluctuation in terms of the scaling behavior of the void probability distribution in azimuthal space in ultra-relativistic nuclear collisions in the light of complex networks. A radically different and rigorous method viz. Visibility Graph was applied on the data of 32S-Ag/Br interaction at an incident energy of 200 GeV per nucleon. The analysis reveals strong scaling behavior of void probability distributions in azimuthal space and a strong centrality dependence.

[1]  Susmita Bhaduri,et al.  Non-Invasive Detection of Alzheimer's Disease-Multifractality of Emotional Speech , 2016 .

[2]  D. Ghosh,et al.  Rapidity-gap and rapidity-correlation study in 400-GeV/c proton-nucleus interactions , 1982 .

[3]  P. Grassberger,et al.  Dimensions and entropies of strange attractors from a fluctuating dynamics approach , 1984 .

[4]  D. Ghosh,et al.  Multifractal detrended fluctuation analysis of pseudorapidity and azimuthal distribution of pions emitted in high energy nuclear collisions , 2014 .

[5]  D. Ghosh,et al.  ZONAL POISSONIAN PION MULTIPLICITY IN CENTRAL 24Mg-AgBr COLLISIONS AT DUBNA ENERGY , 1989 .

[6]  Hwa Fractal measures in multiparticle production. , 1990, Physical review. D, Particles and fields.

[7]  H. Adeli,et al.  Improved visibility graph fractality with application for the diagnosis of Autism Spectrum Disorder , 2012 .

[8]  P. L. Jain,et al.  Factorial, multifractal moments and short-range correlation of shower particles at relativistic energies , 1996 .

[9]  Harvard Medical School,et al.  Effect of nonstationarities on detrended fluctuation analysis. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  D. Ghosh,et al.  Evidence of Intermittent Type Fluctuation of Target Residue in Relativistic Nuclear Collisions at a Few Gev/n , 2003 .

[11]  H. Stanley,et al.  Multifractal Detrended Fluctuation Analysis of Nonstationary Time Series , 2002, physics/0202070.

[12]  D. Ghosh,et al.  EVIDENCE OF FRACTAL BEHAVIOR OF PIONS AND PROTONS IN HIGH ENERGY INTERACTIONS — AN EXPERIMENTAL INVESTIGATION , 2005 .

[13]  J. Ollitrault,et al.  Anisotropy as a signature of transverse collective flow. , 1992, Physical review. D, Particles and fields.

[14]  W. Willinger,et al.  ESTIMATORS FOR LONG-RANGE DEPENDENCE: AN EMPIRICAL STUDY , 1995 .

[15]  Susmita Bhaduri,et al.  Electroencephalographic Data Analysis With Visibility Graph Technique for Quantitative Assessment of Brain Dysfunction , 2015, Clinical EEG and neuroscience.

[16]  J. C. Nuño,et al.  The visibility graph: A new method for estimating the Hurst exponent of fractional Brownian motion , 2009, 0901.0888.

[17]  A. Deb,et al.  A study on azimuthal asymmetry of emission of pions produced in ultra-relativistic nuclear collisions , 2001 .

[18]  Susmita Bhaduri,et al.  Speech, Music and Multifractality , 2016 .

[19]  D. Ghosh,et al.  Nonstatistical fluctuations in fragmentation of target nuclei in high energy nuclear interactions , 1994 .

[20]  Xinbao Ning,et al.  Visibility graph analysis on heartbeat dynamics of meditation training , 2013 .

[21]  Dipak Ghosh,et al.  Multifractal detrended fluctuation analysis of human gait diseases , 2013, Front. Physiol..

[22]  C. B. Yang,et al.  MULTIFRACTAL STRUCTURE OF PSEUDORAPIDITY AND AZIMUTHAL DISTRIBUTIONS OF THE SHOWER PARTICLES IN Au + Au COLLISIONS AT 200 A GeV , 2008 .

[23]  Jensen,et al.  Erratum: Fractal measures and their singularities: The characterization of strange sets , 1986, Physical review. A, General physics.

[24]  Studying long-range correlations in a liquid–vapor-phase transition , 2004 .

[25]  A. Białas,et al.  Intermittency in a single event , 1996, hep-ph/9604366.

[26]  S. Mrówczyński Plasma instability at the initial stage of ultrarelativistic heavy-ion collisions , 1993 .

[27]  Roy,et al.  Intermittency and fragmentation of target residue in high-energy nuclear interactions. , 1994, Physical review. C, Nuclear physics.

[28]  Zhu Su,et al.  Multifractality and Network Analysis of Phase Transition , 2016, PloS one.

[29]  A. Vulpiani,et al.  Anomalous scaling laws in multifractal objects , 1987 .

[30]  Sen,et al.  Maximum fluctuations of particle densities in narrow pseudorapidity space in high-energy interaction of hadrons with nuclei. , 1993, Physical review. D, Particles and fields.

[31]  D. Ghosh,et al.  Analysis of fluctuation of fluctuations in 32S–AgBr interactions at 200 A GeV , 2002 .

[32]  D. Ghosh,et al.  Multiplicity-dependent chaotic pionization in ultra-relativistic nuclear interactions , 2003 .

[33]  Gurmukh Singh,et al.  Multifractal detrended fluctuation analysis of particle density fluctuations in high-energy nuclear collisions , 2015 .

[34]  Amelin,et al.  Transverse flow and collectivity in ultrarelativistic heavy-ion collisions. , 1991, Physical review letters.

[35]  C. Peng,et al.  Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[36]  Deb,et al.  Factorial correlator study in 32S-Ag/Br interaction at 200A GeV. , 1995, Physical review. C, Nuclear physics.

[37]  D. Ghosh,et al.  Multifractal detrended cross-correlation analysis for epileptic patient in seizure and seizure free status , 2014 .

[38]  Srimonti Dutta Multifractal properties of ECG patterns of patients suffering from congestive heart failure , 2010 .

[39]  C. Powell,et al.  The Study of Elementary Particles by the Photographic Method (C. MAYER-BRICKE) , 1960 .

[40]  Lucas Lacasa,et al.  From time series to complex networks: The visibility graph , 2008, Proceedings of the National Academy of Sciences.

[41]  S. Havlin,et al.  Detecting long-range correlations with detrended fluctuation analysis , 2001, cond-mat/0102214.

[42]  Anirban Bhaduri,et al.  Quantitative Assessment of Heart Rate Dynamics during Meditation: An ECG Based Study with Multi-Fractality and Visibility Graph , 2016, Front. Physiol..

[43]  D. Ghosh,et al.  Multiplicity scaling of target protons in high-energy nucleus-nucleus and hadron-nucleus interactions , 2012 .