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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.; 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. V.; 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, D.; Kochetkov, V.; Koehler, D.; Kohama, T.; 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, Zhenyu; 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.; Sörensen, S.; 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. 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, Zhen; Zhou, S.

doi:10.1103/physrevlett.87.052301

Cited by 139 publications

(59 citation statements)

References 13 publications

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“…The first component, denoted k response , is due to the fact that the EMCal was designed for the detection of electromagnetic particles [14]. Hadronic particles passing through the EMCal only deposit a fraction of their total energy.…”

Section: The Phenix Detectormentioning

confidence: 99%

“…Presented here will be charged particle multiplicity and transverse energy measurements from the following systems: Au+Au collisions at PHENIX has previously published charged particle multiplicity distributions from Au+Au collisions at √ s N N = 200 GeV [3], Au+Au collisions at √ s N N = 130 GeV [3,13], and Au+Au collisions at √ s N N = 19.6 GeV [3]. PHENIX has also previously published transverse energy distributions from Au+Au collisions at √ s N N = 200 GeV [3], Au+Au collisions at √ s N N = 130 GeV [14], Au+Au collisions at √ s N N = 62.4 GeV [8], Au+Au collisions at √ s N N = 19.6 GeV [3], and minimum-bias distributions for d+Au and p+p collisions at √ s N N = 200 GeV [8]. Here the previously published PHENIX results will be presented along with data from the many new collision systems in a consistent format to facilitate comparisons.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Transverse energy production and charged-particle multiplicity at midrapidity in various systems fromsNN=7.7to 200 GeV

Adare¹,

Afanasiev²,

Aidala³

et al. 2016

Phys. Rev. C

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Measurements of midrapidity charged particle multiplicity distributions, dN ch /dη, and midrapidity transverse-energy distributions, dET /dη, are presented for a variety of collision systems and energies. Included are distributions for Au+Au collisions at For all A+A collisions down to √ s N N = 7.7 GeV, it is observed that the midrapidity data are better described by scaling withNqp than scaling with Npart. Also presented are estimates of the Bjorken energy density, εBJ, and the ratio of dET /dη to dN ch /dη, the latter of which is seen to be constant as a function of centrality for all systems.

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Section: The Phenix Detectormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transverse energy production and charged-particle multiplicity at midrapidity in various systems fromsNN=7.7to 200 GeV

Adare¹,

Afanasiev²,

Aidala³

et al. 2016

Phys. Rev. C

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show abstract

“…4) and dE T /dη (Ref. 5) as a function of centrality at √ s N N = 130 GeV at RHIC did not depend linearly on N part but had a non-linear increase of dN ch /dη and dE T /dη with increasing N part illustrated by the fact that (dE T /dη)/N part in Fig. 1(a) is not constant but increases with N part .…”

Section: From Nucleon Participants (Wounded Nucleons) To Constituentmentioning

confidence: 91%

Constituent quarks and systematic errors in mid-rapidity charged multiplicity dNch/dη distributions

Tannenbaum

2018

Mod. Phys. Lett. A

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Centrality definition in A+A collisions at colliders such as RHIC and LHC suffers from a correlated systematic uncertainty caused by the efficiency of detecting a p+p collision (50 ± 5% for PHENIX at RHIC). In A+A collisions where centrality is measured by the number of nucleon collisions, N coll , or the number of nucleon participants, N part , or the number of constituent quark participants, N qp , the error in the efficiency of the primary interaction trigger (Beam-Beam Counters) for a p+p collision leads to a correlated systematic uncertainty in N part , N coll or N qp which reduces binomially as the A+A collisions become more central. If this is not correctly accounted for in projections of A+A to p+p collisions, then mistaken conclusions can result. A recent example is presented in whether the mid-rapidity charged multiplicity per constituent quark participant (dN ch /dη)/N qp in Au+Au at RHIC was the same as the value in p+p collisions.

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“…One is that the quark-gluon plasma (QGP) might have come into being in nucleus collisions at current RHIC or LHC energies [11] [12] [13] [14] [15]. This also might be true even in hadron collisions at the early lower energies of Intersecting Storage Rings (ISR) and Super Proton Synchrotron (SPS) at CERN [16] [17] [18] [19] [20].…”

Section: Introductionmentioning

confidence: 99%

A Hydrodynamic Model Including Phase Transition and the Thermal Motion Induced Transverse Momentum Distributions in p-p Collisions at LHC Energies

Jiang¹,

Xu²

2018

JHEPGC

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It is widely believed that the matter created in p-p collisions exhibits a similar collective behavior as that formed in heavy ion collisions. In this paper, by taking into account the effects of thermal motion, the transverse momentum distributions of identified charged particles are discussed in the scope of the hydrodynamic model including phase transition. The theoretical model gives a good description to the data collected in p-p collisions at LHC energies for the transverse momentum up to about 1.0 GeV T p c = .

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Measurement of the Midrapidity Transverse Energy Distribution fromsNN=130GeVA

Cited by 139 publications

References 13 publications

Transverse energy production and charged-particle multiplicity at midrapidity in various systems fromsNN=7.7to 200 GeV

Transverse energy production and charged-particle multiplicity at midrapidity in various systems fromsNN=7.7to 200 GeV

Constituent quarks and systematic errors in mid-rapidity charged multiplicity dNch/dη distributions

A Hydrodynamic Model Including Phase Transition and the Thermal Motion Induced Transverse Momentum Distributions in p-p Collisions at LHC Energies

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