Multiplicity and Pseudorapidity Distributions of Photons in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>Au</mml:mi><mml:mo>+</mml:mo><mml:mi>Au</mml:mi></mml:math>Collisions at<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msqrt><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mi>N</mml:mi><mml:mi>N</mml:mi></mml:mrow></mml:msub></mml:msqrt><mml:mo>=</mml:mo><mml:mn>62.4</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>GeV</mml:m

Adams, J. R.; Aggarwal, M. M.; Ahammed, Z.; Amonett, J.; Anderson, B. D.; Arkhipkin, D.; Averichev, G. S.; Badyal, S. K.; Bai, Y.; Balewski, J.; Barannikova, O.; Barnby, Lee Stuart; Baudot, J.; Bekele, S.; Belaga, V. V.; Bellingeri-Laurikainen, A.; Bellwied, R.; Berger, J.; Bezverkhny, B. I.; Bhardwaj, S.; Bhasin, A.; Bhati, A. K.; Bichsel, H.; Bielčík, J.; Bielčíková, J.; Billmeier, A.; Bland, L. C.; Blyth, C. O.; Blyth, S.; Bonner, B. E.; Botje, M.; Boucham, A.; Bouchet, J.; Brandin, A. V.; Bravar, A.; Bysterský, M.; Cadman, R. V.; Cai, X.; Caines, H.; Sánchez, M. Calderón De La Barca; Castillo, J.; Catu, O.; Cebra, D.; Chajęcki, Z.; Chaloupka, P.; Chattopadhyay, S.; Chen, H. F.; Chen, Y.; Cheng, J.; Cherney, M.; Chikanian, A.; Christie, W.; Coffin, J. P.; Cormier, Thomas Michael; Cosentino, M. R.; Cramer, J. G.; Crawford, H. J.; Das, Dipayan; Das, S.; Moura, M. M. de; Dedovich, T. G.; Derevschikov, A. A.; Didenko, L.; Dietel, T.; Dogra, S.; Dong, W. J.; Dong, X.; Draper, J. E.; Du, F.; Dubey, A. K.; Dunin, V. B.; Dunlop, J. C.; Mazumdar, M. R. Dutta; Eckardt, V.; Edwards, W. R.; Efimov, L. G.; Емелянов, В.; Engelage, J.; Eppley, G.; Erazmus, B.; Estienne, M.; Fachini, P.; Faivre, J.; Fatemi, R.; Fedorišin, J.; Filimonov, K.; Filip, P.; Finch, E.; Fine, V.; Fisyak, Y.; Fornazier, Karin S. F.; Fu, Jiang; Gagliardi, C. A.; Gaillard, L.; Gans, J.; Ganti, M. S.; Geurts, F. J. M.; Ghazikhanian, V.; Ghosh, P.; Gonzalez, J. E.; Gos, H.; Grachov, O.; Grebenyuk, O. G.; Grosnick, D.; Guertin, S. M.; Guo, Yuanyuan; Gupta, A.; Gutierrez, T. D.; Hallman, T. J.; Hamed, A.; Hardtke, D.; Harris, J. W.; Heinz, M.; Henry, T. W.; Hepplemann, S.; Hippolyte, B.; Hirsch, A.; Hjort, E.; Hoffmann, G. W.; Horner, M. J.; Huang, H. Z.; Huang, S.; Hughes, E. W.; Humanic, T. J.; Igo, G.; Ishihara, A.; Jacobs, P. M.; Jacobs, W. W.; Jedynak, Maciej; Jiang, H.; Jones, P. G.; Judd, E. G.; Kabana, S.; Kang, K. H.; Kaplan, M.; Keane, D.; Kechechyan, A.; Khodyrev, V. Yu; Kiryluk, J.; Kisiel, A.; Kislov, E. M.; Klay, J.; Klein, S. R.; Koetke, D. D.; Kollegger, T.; Kopytine, M.; Kotchenda, L.; Kowalik, K.; Krämer, M.; Кравцов, П.; Kravtsov, V. I.; Krueger, K.; Kuhn, C.; Куликов, А. И.; Kumar, Ashwini; Kutuev, R.Kh.; Кузнецов, А. А.; Lamont, M. A.C.; Landgraf, J. M.; Lange, S.; Laue, F.; Lauret, J.; Lebedev, A.; Lednický, R.; Lehocká, S.; LeVine, M. J.; Li, C.; Li, Q.; Li, Y.; Lin, G.; Lindenbaum, S. J.; Lisa, M. A.; Liu, F.; Liu, H.; Liu, J.; Liu, L.; Liu, Q. J.; Liu, Z.; Ljubičić, T.; Llope, W. J.; Long, H.; Longacre, R. S.; Lopez-Noriega, M.; Love, W. A.; Lu, Y.; Ludlam, T.; Lynn, D.; L., G.; G., J.; G., Y.; Magestro, D.; Mahajan, S.; Mahapatra, D. P.; Majka, R.; Mangotra, L. K.; Manweiler, R.; Margetis, S.; Markert, C.; Martin, L.; Marx, J. N.; Matis, H. S.; Matulenko, Yu. A.; McClain, C. J.; McShane, T. S.; Meißner, F.; Melnick, Yu; Meschanin, A.; Miller, Michael L.; Minaev, N. G.; Mironov, C.; Mischke, A.; Mishra, D.; Mitchell, J. T.; Mohanty, B.; Molnár, L.; Moore, C. F.; Morozov, D. A.; Munhoz, M. G.; Nandi, B. K.; Nayak, S. K.; Nayak, T. K.; Nelson, J. M.; Netrakanti, P. K.; Никитин, В. А.; Nogach, L. V.; Nurushev, S. B.; Odyniec, G.; Ogawa, A.; Окороков, В. А.; Oldenburg, M.; Olson, D.; Pal, Surajit; Panebratsev, Y.; Panitkin, S.; Pavlinov, A. I.; Pawlak, T.; Peitzmann, T.; Perevoztchikov, V.; Perkins, C.; Peryt, W.; Petrov, V.; Phatak, S. C.; Picha, R.; Planinić, M.; Pluta, J.; Porile, N.; Porter, J.; Poskanzer, A. M.; Potekhin, M.; Potrebenikova, E.; Potukuchi, B.; Prindle, D.; Pruneau, C.; Putschke, J.; Rakness, G.; Raniwala, R.; Raniwala, S.; Ravel, O.; Ray, R. L.; Razin, S. V.; Reichhold, D.; Reid, J. G.; Reinnarth, J.; Renault, G.; Retière, F.; Ridiger, A.; Ritter, H. G.; Roberts, J.; Rogachevskiy, O. V.; Romero, J. L.; Rose, A.; Roy, C.; Ruan, L.; Russcher, M. J.; Sahoo, R.; Sakrejda, I.; Salur, S.; Sandweiss, J.; Sarsour, M.; Savin, I.; Sazhin, P. S.; Schambach, J.; Scharenberg, R. 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M.; Ward, H.; Watson, J. W.; Webb, J. C.; Westfall, G. D.; Wetzler, A.; Whitten, C.; Wieman, H.; Wissink, S. W.; Witt, R.; Wood, J.; Wu, J.; Xu, N.; Xu, Z.; Xu, Z.; Yamamoto, E.; Yepes, P.; Yurevich, V. I.; Zborovský, I.; Zhang, H.; Zhang, W. M.; Zhang, Y.; Zhang, Z. P.; Zoulkarneev, R.; Zoulkarneeva, Y.; Zubarev, A. N.

doi:10.1103/physrevlett.95.062301

Cited by 45 publications

(14 citation statements)

References 38 publications

(18 reference statements)

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“…the probability distribution of obtaining a definite number of produced or emitted particles, still contains information about particle correlations. There have been several important observations and physics messages conveyed by scientists by studying the multiplicity distribution of produced or emitted particles using a variety of projectile beams with a wide span of energy in recent times [3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Target dependence of clan model parameters at Dubna energy-chaotic pion production

Bhattacharyya

Neagu

Firu

2013

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

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A detailed study of clan model parameters and their target dependence has been carried out in the light of void probability scaling for heavy (AgBr) and light (CNO) groups of targets present in the nuclear emulsion using 22 Ne (at an incident momentum of 4.1 GeV/c), 28 Si (at an incident momentum of 4.5 GeV/c), 16 O (at an incident momentum of 4.5 GeV/c) and 32 S (at an incident momentum of 4.5 GeV/c) projectiles. The variation of scaled rapgap probability with the single moment combination has been studied for all of the interactions. The experimental points are found to lie approximately on the NBD curve for all of the interactions, indicating a scaling behavior. According to the two-source model of particle production, in the case of 32 S-AgBr interactions at 4.5 GeV/c, the pion production mechanism has been found to be almost chaotic. On the contrary, for all of the other interactions at 4.1-4.5 GeV/c, pion production is predominantly chaotic. Average clan multiplicities (N) for all of the interactions are found to increase with the increase in the pseudo-rapidity interval η. The values of N for the AgBr target are larger than those for the CNO target. The average number of particles per clan (n c ) increases initially with the increase in pseudo-rapidity interval. An approximate saturation of the values of n c is observed for 22 Ne and 16 O projectiles around η = 6. With the increase in projectile size, the saturation of n c seems to be wiped out. It can also be observed from the tables that for a particular target the average number of particles per clan (n c ) increases with the increase in the size of the projectile nucleus. A comparison with the results of the SPS data has also been presented.

show abstract

Section: Introductionmentioning

confidence: 99%

Target dependence of clan model parameters at Dubna energy-chaotic pion production

Bhattacharyya

Neagu

Firu

2013

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

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“…About 90% of the inclusive photon come from the decay of π 0 mesons [13]. In this section, we discuss how the v 2 of photons and π 0 compares as a function of collision centrality, p T and η at √ s NN = 2.76 TeV (chosen as a representative case) for Pb+Pb collisions at forward rapidity (2.3 < η < 3.9).…”

Section: Photon Versus Neutral Pion V 2 At the Rhic And Lhcmentioning

confidence: 99%

“…Since more than 90% of the inclusive photons come from the decay of π 0 mesons, we will first study how the decay effect decreases the measured v 2 for photons relative to those of the parent π 0 . PMD-like detectors have limitations in the form of finite-particle counting efficiency and also the purity of the photon sample [13]. We will discuss the effect of these on the measured v 2 .…”

Section: Introductionmentioning

confidence: 99%

Energy dependence of inclusive photon elliptic flow in heavy-ion collision models

Singh¹,

Nasim²,

Mohanty³

et al. 2012

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

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Abstract. We present a comparison of inclusive photon elliptic flow parameter (v 2 ) measured at RHIC and SPS high energy heavy-ion collision experiments to calculations done using the AMPT and UrQMD models. The new results discussed includes the comparison of the model calculations of photon v 2 to corresponding measurements at the forward rapidities. We observe that the AMPT model which includes partonic interactions and quark coalescence as a mechanism of hadronization is in good agreement with the measurements even at forward rapidities (2.3 < η < 3.9) at RHIC as was previously observed for measurements at midrapidity. At the top SPS energy the contribution from partonic effects are smaller than that at RHIC energy, based on the comparison of the measured photon v 2 with those from the AMPT default and UrQMD model calculations. We find that if the measurements in RHIC beam energy scan (BES) and LHC energies would require an energy dependent partonic cross section in the AMPT models, then the observed longitudinal scaling of v 2 at top RHIC energies (19.6-200 GeV) will be violated. We also discuss the relation between the inclusive photon v 2 and those of their parent π 0 's for the beam energies of 7.7 GeV to 2.76 TeV. The model results show that the transverse momentum (p T ) integrated v 2 of π 0 is larger by about 44% relative to those of the inclusive photons. Finally we present the expectations of inclusive photon v 2 for the RHIC beam energy scan (BES) program and LHC from the transport models, so that they can be compared to corresponding measurements using the data already collected at RHIC and LHC.

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“…In this analysis we generated the pseudorapidity distribution of inclusive photons at forward rapidities (2.3 < η < 3.9) in p-Pb collisions at √ s NN = 8.16 TeV using the HIJING [4] Monte Carlo event generator. The photons are detected by the Photon Multiplicity Detector (PMD) [5,6]. The raw pseudorapidity distribution of inclusive photons was corrected by following two methods: (i) Efficiency-purity method (ii) Bayesian unfolding method.…”

Section: Introductionmentioning

confidence: 99%

Inclusive Photon Production at Forward Rapidities Using PMD in p–Pb Collisions at $$\sqrt{ {s}_\mathrm{{NN}}} = 8.16$$ TeV with ALICE

Bhat¹

2022

Springer Proceedings in Physics

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We report on the performance studies of two correction methods, namely the efficiency-purity method and the Bayesian unfolding method applied to the pseudorapidity distribution of photons. The pseudorapidity distribution of inclusive photons at forward rapidities in the range (2.3 < η < 3.9) in p-Pb collisions at √ sNN = 8.16 TeV is obtained with the HIJING Monte Carlo event generator. The simulated data samples were obtained from the Photon Multiplicity Detector (PMD) in AL-ICE.

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Multiplicity and Pseudorapidity Distributions of Photons inAu+AuCollisions atsNN=62.4 GeV

Cited by 45 publications

References 38 publications

Target dependence of clan model parameters at Dubna energy-chaotic pion production

Target dependence of clan model parameters at Dubna energy-chaotic pion production

Energy dependence of inclusive photon elliptic flow in heavy-ion collision models

Inclusive Photon Production at Forward Rapidities Using PMD in p–Pb Collisions at $$\sqrt{ {s}_\mathrm{{NN}}} = 8.16$$ TeV with ALICE

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