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Adcox, K.; Adler, S. S.; Ajitanand, N. N.; Akiba, Y.; Alexander, J.; Aphecetche, L.; Arai, Y.; Aronson, S. H.; Averbeck, R.; Awes, T. C.; Barish, K. N.; Barnes, P. D.; Barrette, J.; Bassalleck, B.; Bathe, S.; Baublis, V.; Bazilevsky, A.; Беликов, С.; Bellaiche, F.; Belyaev, S. T.; Bennett, M. J.; Berdnikov, Y.; Botelho, S.; Brooks, M. L.; Brown, D. S.; Bruner, N.; Bucher, D.; Buesching, H.; Bumazhnov, V.; Bunce, G.; Burward-Hoy, J. M.; Butsyk, S.; Carey, T. A.; Chand, P.; Chang, James; Chang, W. C.; Chavez, L. L.; Chernichenko, S.; Y., C.; Chiba, J.; Chiu, M.; Choudhury, R. K.; Christ, T.; Chujo, T.; Chung, M.; Chung, P.; Cianciolo, V.; Cole, B.; d’Enterria, D.; David, G.; Delagrange, H.; Denisov, A.; Deshpande, A.; Desmond, E. J.; Dietzsch, O.; Dinesh, B. V.; Drees, A.; Durum, A.; Dutta, D.; Ebisu, K.; Efremenko, Y. V.; Chenawi, K. El; En’yo, H.; Esumi, S.; Ewell, L.; Ferdousi, T.; Fields, D. E.; Fokin, S.; Fraenkel, Z.; Franz, A.; Frawley, A. D.; Fung, S. Y.; Garpman, S.; Ghosh, Tarun Kanti; Glenn, A.; Godoi, A. L.; Goto, Y.; Greene, S.; Perdekamp, M. Grosse; Gupta, S. K.; Guryn, W.; Gustafsson, H.-Å.; Haggerty, J. S.; Hamagaki, H.; Hansen, A.; Hara, Hiroshi; Hartouni, E. P.; Hayano, R. S.; Hayashi, Naoki; He, X.; Hemmick, T. K.; Heuser, J. M.; Hibino, M.; Hill, J. C.; Ho, D. S.; Homma, K.; Hong, B.; Hoover, A.; Ichihara, T.; Imai, K.; Ippolitov, M.; Ishihara, M.; Jacak, B.; Jang, W. Y.; Jia, J.; Johnson, B. M.; Johnson, S. C.; Joo, K. S.; Kametani, S.; Kang, J. H.; Kann, M.; Kapoor, S. S.; Kelly, S.; Khachaturov, B.; Khanzadeev, A.; Kikuchi, Jun; Kim, D. J.; Kim, H. J.; Kim, S. Y.; Kim, Y. G.; Kinnison, W. W.; Kistenev, E.; Kiyomichi, A.; Klein-Boesing, Christian; Klinksiek, S.; Kochenda, L.; Kochetkov, V.; Koehler, D.; Kohama, T.; Kotchetkov, D.; Kozlov, A.; Kroon, P. J.; Kurita, K.; Kweon, M. J.; Kwon, Y.; Kyle, G. S.; Lacey, R.; Lajoie, J. G.; Lauret, J.; Lebedev, A.; Lee, D. M.; Leitch, M. J.; Li, X. H.; Li, Z.; Lim, D. J.; Liu, M. X.; Liu, X.; Liu, Z.; Maguire, C.; Mahon, J. R.; Makdisi, Y. I.; Manko, V.; Mao, Y.; Mark, S. K.; Markacs, S.; Martı́nez, G.; Marx, M.; Masaike, A.; Matathias, F.; Matsumoto, T.; McGaughey, P. L.; Melnikov, E.; Merschmeyer, M.; Messer, F.; Messer, M.; Miake, Y.; Miller, T. E.; Milov, A.; Mioduszewski, S.; Mischke, R. E.; Mishra, G. C.; Mitchell, J. T.; Mohanty, A. K.; Morrison, D. P.; Moss, J. M.; Mühlbacher, F.; Muniruzzaman, M.; Murata, J.; Nagamiya, S.; Nagasaka, Y.; Nagle, J. L.; Nakada, Y.; Nandi, B. K.; Newby, J.; Nikkinen, L.; Nilsson, P.; Nishimura, S.; Nyanin, A.; Nystrand, J.; O’Brien, E.; Ogilvie, C. A.; Ohnìshì, H.; Ojha, I. D.; Ono, M.; Onuchìn, V.; Öskarsson, A.; Österman, L.; Otterlund, I.; Oyama, K.; Paffrath, L.; Palounek, A. P.T.; Pantuev, V.; Papavassiliou, V.; Pate, S. F.; Peitzmann, T.; Petridis, Athanasios; Pinkenburg, C.; Pisani, R. P.; Pitukhin, P. V.; Plášil, F.; Pollack, M.; Pope, K.; Purschke, M. L.; Ravinovich, I.; Read, K. F.; Reygers, K.; Riabov, V.; Riabov, Y.; Rosati, M.; Rose, A.; Ryu, S. S.; Saito, N.; Sakaguchi, A.; Sakaguchi, T.; Sako, H.; Sakuma, T.; Samsonov, V.; Sangster, T. C.; Santo, R.; Sato, H.; Sato, Susumu; Sawada, S.; Schlei, B. R.; Schütz, Y.; Semenov, V.; Seto, R.; Shea, T. K.; Shein, I.; Shibata, T. A.; Shigaki, K.; Shiina, T.; Shin, Y. H.; Sibiriak, I.; Silvermyr, D.; Sim, K. S.; Simon‐Gillo, J.; Singh, C. P.; Singh, V.; Sivertz, M.; Soldatov, A.; Soltz, R. A.; Sørensen, S. P.; Stankus, P. W.; Starinsky, N.; Steinberg, P.; Stenlund, E.; Ster, A.; Stoll, S. P.; Sugioka, M.; Sugitate, T.; Sullivan, J.P.; Sumi, Y.; Sun, Z.; Suzuki, M.; Takagui, E. M.; Taketani, A.; Tamai, M.; Tanaka, Kazuhiro; Tanaka, Y.; Taniguchi, E.; Tannenbaum, M. J.; Thomas, J.; Thomas, J. H.; Thomas, T. L.; Tian, W. D.; Tojo, J.; Torii, H.; Towell, R. S.; Tserruya, I.; Tsuruoka, H.; Tsvetkov, A.; Tuli, S. K.; Tydesjö, H.; Tyurin, N.; Ushiroda, T.; Hecke, H. W. van; Velissaris, C.; Velkovska, J.; Velkovsky, M.; Виноградов, А.; Volkov, М. А.; Vorobyov, A. A.; Vznuzdaev, E.; Wang, H.; Watanabe, Y.; White, S.; Witzig, C.; Wohn, F. K.; Woody, C. L.; Xie, W.; Yagi, K.; Yokkaichi, S.; Young, G. R.; Yushmanov, I. E.; Zajc, W. A.; Zhang, Z.; Zhou, S.

doi:10.1103/physrevlett.89.082301

Cited by 123 publications

(106 citation statements)

References 15 publications

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“…Event-by-event particle fluctuations have elicited theoretical [31,32,33,34] and experimental interest [35,36,37,38], both as a consistency check for existing models, as a test of hadron gas equilibration and as a way to search for new physics. The ability of the SHM to describe not just averages, but event-by-event multiplicity fluctuations has however not been widely investigated, and its applicability is currently a matter of controversy.…”

Section: Fluctuations In the Statistical Modelmentioning

confidence: 99%

Resonances and fluctuations of strange particles in 200 GeV Au–Au collisions

Torrieri¹

2006

J. Phys. G: Nucl. Part. Phys.

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Abstract. We perform an analysis of preliminary data on strange particles yields and fluctuations within the Statistical hadronization model. We begin by describing the theoretical disagreements between different statistical models currently on the market. We then show how the simultaneous analysis of yields and fluctuations can be used to differentiate between the different models, and determine if one of them can be connected to underlying physics. We perform a study on a RHIC 200 GeV data sample that includes stable particles, resonances, and the event-by-event fluctuation of the K/π ratio. We show that the equilibrium statistical model can not describe the fluctuation, unless an unrealistically small volume is assumed. Such small volume then makes it impossible to describe the total particle multiplicity. The non-equilibrium model,on the other hand, describes both the K/π fluctuation and yields acceptably due to the extra boost to the π fluctuation provided by the high pion chemical potential. Λ(1520) and K * abundance is described within error bars, but the Σ * is under-predicted to ∼ 1.5 standard deviations. We suggest further measurements that have the potential to test the non-equilibrium model, as well as gauge the effect of re-interactions between hadronization and freeze-out PACS numbers: 24.10.Pa

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Section: Fluctuations In the Statistical Modelmentioning

confidence: 99%

Resonances and fluctuations of strange particles in 200 GeV Au–Au collisions

Torrieri¹

2006

J. Phys. G: Nucl. Part. Phys.

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“…Higher-order Fourier harmonics are measured with respect to the corresponding harmonic plane angles Φ n [6]. The collective behavior of the QGP has been studied using the azimuthal anisotropy of emitted particles detected in experiments at the Relativistic Heavy Ion Collider (RHIC) [7][8][9] and the Large Hadron Collider (LHC) [10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Correlations between azimuthal anisotropy Fourier harmonics in PbPb collisions at sNN=2.76 TeV in the HYDJET++ model and in the multiphase tran

Dordevic¹,

Milošević

Nađđerđ³

et al. 2020

Phys. Rev. C

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Correlations between azimuthal anisotropy Fourier harmonics v n (n = 2, 3, 4) are studied using the events from PbPb collisions at √ s NN = 2.76 TeV generated by the HYDJET++ and AMPT models, and compared to the corresponding experimental results obtained by the ATLAS Collaboration. The Fourier harmonics v n are measured over a wide centrality range using the two-particle azimuthal correlation method. The slopes of the v 2 -v 3 correlation from both models are in a good agreement with the ATLAS data. The HYDJET++ model predicts a stronger slope for the v 2 -v 4and v 3 -v 4 correlations than the ones experimentally measured, while the results from the AMPT model are in a rather good agreement with the experimental results. In contrast to the HYD-JET++ predictions, the AMPT model predicts a boomerang-like shape in the structure of the correlations as found in the experimental data.

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“…It is widely accepted that measurement of charge fluctuations is a useful tool to identify whether or not a deconfined QCD state is created in AB collisions. All major collaborations on high-energy heavy-ion experiments have pursued such measurements on an event-by-event basis [8][9][10][11][12][13]. The observables for fluc- * Electronic address: amitabha 62@rediffmail.com tuation measurements used by different groups may not always be the same, but the underlying correlation functions in all cases remain more or less identical.…”

Section: Introductionmentioning

confidence: 99%

Net-charge fluctuation in Au+Au collisions at energies available at the Facility for Antiproton and Ion Research using the UrQMD model

2017

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We have studied the dynamical fluctuation of net-charge of hadrons produced in Au+Au collisions at energies that in near future will be available at the Facility for Antiproton and Ion Research (FAIR). Data simulated by a microscopic transport model based on ultra-relativistic quantum molecular dynamics are analyzed for the purpose. The centrality and pseudorapidity dependence of the net-charge fluctuation of hadrons are examined. Our simulated results are compared with the results available for nucleus-nucleus collision experiments held at similar energies. The gross features of our simulated results on net-charge fluctuations are found to be consistent with the experiment. At incident beam energy E lab = 10A GeV the magnitude of net-charge fluctuation is very large, and in comparison with the rest its centrality dependence appears to be a little unusual. The effect of global charge conservation is expected to be very crucial at FAIR energies. The charge fluctuations measured with varying pesudorapidity window size depend on the collision centrality. The dependence is however exactly opposite in nature to that observed in the Pb+Pb collision at √ s N N = 2.76TeV.

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Net Charge Fluctuations inAu+AuInteractions atsNN

Cited by 123 publications

References 15 publications

Resonances and fluctuations of strange particles in 200 GeV Au–Au collisions

Resonances and fluctuations of strange particles in 200 GeV Au–Au collisions

Correlations between azimuthal anisotropy Fourier harmonics in PbPb collisions at sNN=2.76 TeV in the HYDJET++ model and in the multiphase tran

Net-charge fluctuation in Au+Au collisions at energies available at the Facility for Antiproton and Ion Research using the UrQMD model

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