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Acharya, S.; Torales-Acosta, F.; Adamová, D.; Adolfsson, J.; Aggarwal, M. M.; Rinella, G. Aglieri; Agnello, M.; Agrawal, N.; Ahammed, Z.; Ahn, Sang Un; Aiola, S.; Akindinov, A.; Al-Turany, M.; Alam, Sk Noor; Albuquerque, D. S. D.; Aleksandrov, Dmitry; Alessandro, B.; Molina, R. Alfaro; Ali, Y.; Alici, A.; Alkin, A.; Alme, J.; Alt, T.; Altenkamper, L.; Altsybeev, I.; Andrei, C.; Andreou, D.; Andrews, H. A.; Andronic, A.; Angeletti, M.; Anguelov, V.; Anson, C.; Antičić, T.; Antinori, F.; Antonioli, P.; Anwar, R.; Apadula, N.; Aphecetche, L.; Appelshäuser, H.; Arcelli, S.; Arnaldi, R.; Arnold, O.; Arsene, Ionut Cristian; Arslandok, M.; Audurier, B.; Augustinus, A.; Averbeck, R.; Azmi, M. D.; Badalà, A.; Baek, Yongwook; Bagnasco, S.; Bailhache, R.; Bala, R.; Baldisseri, A.; Ball, M.; Baral, R. C.; Barbano, Anastasia Maria; Barbera, R.; Barile, F.; Barioglio, L.; Barnaföldi, G. 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Oliveira Da; Oliver, Michael Henry; Onderwaater, J.; Oppedisano, C.; Orava, R.; Oravec, M.; Velasquez, A. Ortiz; Öskarsson, A.; Otwinowski, J.; Oyama, K.; Pachmayer, Y.; Pacik, V.; Pagano, D.; Paić, G.; Palni, P.; Pan, J.; Pandey, A. K.; Panebianco, S.; Papikyan, V.; Pareek, P.; Park, J.; Parkkila, Jasper Elias; Parmar, S.; Passfeld, A.; Pathak, S. P.; Patra, R.N.; Paul, B.; Pei, H.; Peitzmann, T.; Peng, X.; Pereira, L.G.; Costa, H. Pereira Da; Peresunko, Dmitry Yurevich; Lezama, E. Perez; Peskov, V.; Pestov, Y.; Petráček, V.; Petrovici, M.; Petta, C.; Pezzi, R.P.; Piano, S.; Pikna, M.; Pillot, P.; Pimentel, L. O. D. L.; Pinazza, O.; Pinsky, L.; Pisano, S.; Piyarathna, D. B.; Płoskoń, M.; Planinić, M.; Pliquett, F.; Pluta, J.; Pochybová, S.; Podesta-Lerma, P. L.M.; Poghosyan, M. 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doi:10.1016/j.physletb.2018.12.048

Cited by 97 publications

(63 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…where f fixes the relative contributions of N part (the number of participating nucleons taking part in the collision) and N coll (the number of binary collisions among participating nucleons), and N sources is the number of intermediate sources for the particle production to be transformed to the charged-particle multiplicity by the negative binomial distribution (NBD). The detailed systematic studies in p-Pb, Pb-Pb and Xe-Xe collisions can be found elsewhere [13,14,15,16]. theoretical models.…”

Section: Analysis Methodsmentioning

confidence: 99%

See 1 more Smart Citation

ALICE results on system-size dependence of charged-particle multiplicity density in p–Pb, Pb–Pb and Xe–Xe collisions

Kim¹,

Acharya²,

Acosta³

et al. 2019

Nuclear Physics A

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Particle production at LHC energies involves the interplay of hard (perturbative) and soft (non-perturbative) QCD processes. Global observables, such as the charged-particle multiplicity, are related to the initial geometry and the energy density produced in the collision. They are important to characterise relativistic heavy-ion collisions and to constrain model calculations. The LHC produced Xenon-Xenon collisions for the first time in October 2017. New results on the primary charged-particle pseudorapidity density, and its pseudorapidity and centrality dependence are presented for this lighter and deformed nucleus, and compared to measurements obtained for lead ions. New results will also be presented for p-Pb collisions at the highest energy of 8.16 TeV, as part of an overview of all the measurements at LHC Run 1 and 2 energies. These studies allow us to investigate the evolution of particle production with energy and system size and to compare models based on various particle production mechanisms and different initial conditions.

show abstract

Section: Analysis Methodsmentioning

confidence: 99%

“…dN ch /dη for the top 5% central Xe-Xe collisions[13] part dN ch /dη for the top 5% central Xe-Xe collisions compared to previous measurements for AA collisions as a function of √ s NN , as well as for inelastic and Non-Single Diffractive (NSD) pp, pp and NSD pA and dA collisions. The lines are power law fits to the data.…”

mentioning

confidence: 93%

ALICE results on system-size dependence of charged-particle multiplicity density in p–Pb, Pb–Pb and Xe–Xe collisions

Kim¹,

Acharya²,

Acosta³

et al. 2019

Nuclear Physics A

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show abstract

“…Fig. 2 shows results for XeXe collisions from ALICE [15], compared with results from a set of MC generators. The left figure shows dN ch /dη for 0-5% central events.…”

Section: A New Model: Angantyrmentioning

confidence: 99%

Event generators for heavy-ion physics, recent developments

Gustafson

2018

Proceedings of Sixth Annual Conference on Large Hadron Collider Physics — PoS(LHCP2018)

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A short review is presented for the most commonly used general purpose event generators for heavy ion physics, HIJING, AMPT, and EPOS. A new model, called Angantyr, is presented. It is (similar to HIJING) an extrapolation of pp dynamics to collisions with nuclei. Diffractive excitation of individual nucleons has significant effects in nucleus collisions, and here Angantyr is the first model which accounts for nucleon excitation in both projectile and target nuclei. General features in pA and AA collisions are well reproduced. Future studies aim to investigate effects of fluctuations in more detail, and to also include effects of a high string density on collective effects, like high strangeness production and transverse flow.

show abstract

“…In 2017, the LHC performed a different kind of hadron collision at high energy, i.e. the first Xe 129 ion collisions at 푠 = 5.44 TeV [4][5][6][7]. Since the nucleons of the Xe 129 nucleus is fewer than that of Pb 208 nucleus, the investigation of Xe-ion collisions can roughly bridge or connect the gap between and Pb ion collisions.…”

Section: Introductionmentioning

confidence: 99%

“…e charged-particle pseudorapidity multiplicity is related to the early geometry of the collision system and is of great interest to investigate the properties of the collision-system evolution. Recently, the ALICE Collaboration measured charged-particle transverse momentum spectra and multiplicity density in Xe-Xe collisions at 푠 = 5.44 TeV at the LHC [5,6]. In this work, the transverse momentum spectra are analyzed in an improved multisource thermal model, where the Tsallis statistics [10][11][12][13] is imported.…”

Section: Introductionmentioning

confidence: 99%

Transverse Momentum and Pseudorapidity Dependence of Particle Production in Xe–Xe Collision at sNN=5.44 TeV

Guo

Dong

2020

Advances in High Energy Physics

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Through the collision-system configuration, the Tsallis statistics is combined with a multisource thermal model. The improved model is used to investigate the transverse momentum and pseudorapidity of particles produced in Xe–Xe collisions at sNN=5.44 TeV. We discuss detailedly the thermodynamic properties, which are taken from the transverse momentum pT distributions of π, K, and p for different centralities. The pseudorapidity η spectra of charged particles for different centralities are described consistently in the model. And, the model result can estimate intuitively the longitudinal configuration of the collision system.

show abstract

Centrality and pseudorapidity dependence of the charged-particle multiplicity density in Xe–Xe collisions at sNN=5.44TeV

Cited by 97 publications

References 68 publications

ALICE results on system-size dependence of charged-particle multiplicity density in p–Pb, Pb–Pb and Xe–Xe collisions

ALICE results on system-size dependence of charged-particle multiplicity density in p–Pb, Pb–Pb and Xe–Xe collisions

Event generators for heavy-ion physics, recent developments

Transverse Momentum and Pseudorapidity Dependence of Particle Production in Xe–Xe Collision at sNN=5.44 TeV

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