Particle identification in ALICE: a Bayesian approach

Adam, J.; Adamová, D.; Aggarwal, M. M.; Rinella, G. Aglieri; Agnello, M.; Agrawal, N.; Ahammed, Z.; Ahmad, S.; Ahn, Sang Un; Aiola, S.; Akindinov, A.; Alam, Sk Noor; Albuquerque, D. S. D.; Aleksandrov, D.; Alessandro, B.; Alexandre, D.; Molina, R. Alfaro; Alici, A.; Alkin, A.; Almaraz, J. R. M.; Alme, J.; Alt, T.; Altinpinar, S.; Altsybeev, I.; Prado, C. Alves Garcia; Andrei, C.; Andronic, A.; Anguelov, V.; Antičić, T.; Antinori, F.; Antonioli, P.; Aphecetche, L.; Appelshäuser, H.; Arcelli, S.; Arnaldi, R.; Arnold, O.; Arsene, I. C.; Arslandok, M.; Audurier, B.; Augustinus, A.; Averbeck, R.; Azmi, M. D.; Badalà, A.; Baek, Y. W.; Bagnasco, S.; Bailhache, R.; Bala, R.; Balasubramanian, S.; Baldisseri, A.; Baral, R. C.; Barbano, A. M.; Barbera, R.; Barile, F.; Barnaföldi, G. G.; Barnby, L. S.; Barret, V.; Bartalini, P.; Barth, K.; Bartke, J.; Bartsch, E.; Basile, M.; Bastid, N.; Basu, S.; Bathen, B.; Batigne, G.; Camejo, A. Batista; Batyunya, B.; Batzing, P. C.; Bearden, I. G.; Beck, H.; Bedda, C.; Behera, N. K.; Belikov, I.; Bellini, F.; Martínez, H. Bello; Bellwied, R.; Belmont, R.; Belmont‐Moreno, E.; Belyaev, V.; Benacek, P.; Bencédi, G.; Beolè, S.; Berceanu, I.; Bercuci, A.; Berdnikov, Y.; Berényi, D.; Bertens, R. A.; Berzano, D.; Betev, L.; Bhasin, A.; Bhat, I. R.; Bhati, A. K.; Bhattacharjee, B.; Bhom, J.; Bianchi, L.; Bianchi, N.; Bianchin, C.; Bielčík, J.; Bielčíková, J.; Bilandzic, A.; Bíró, G.; Biswas, R.; Biswas, S.; Bjelogrlic, S.; Blair, Justin Thomas; Blau, D.; Blume, C.; Bock, F.; Bøgdanov, A.; Bøggild, H.; Boldizsár, L.; Bombara, M.; Book, J.; Borel, H.; Borissov, A.; Borri, M.; Bossù, F.; Botta, E.; Bourjau, C.; Braun‐Munzinger, P.; Bregant, M.; Breitner, T.; Broker, T. A.; Browning, T. A.; Broz, M.; Brücken, E.; Bruna, E.; Bruno, G. E.; Budnikov, D.; Buesching, H.; Bufalino, S.; Bunčić, P.; Busch, O.; Buthelezi, Z.; Butt, J.; Buxton, J. T.; Cabala, J.; Caffarri, D.; Cai, X.; Caines, H.; Diaz, L. Calero; Caliva, A.; Villar, E. Calvo; Camerini, P.; Carena, F.; Carena, W.; Carnesecchi, F.; Castellanos, J. Castillo; Castro, A.; Casula, E. A. R.; Sànchez, C. Ceballos; Cepila, J.; Cerello, P.; Cerkala, J.; Chang, B.; Chapeland, S.; Chartier, M.; Charvet, J. L.; Chattopadhyay, S.; Chauvin, A.; Chelnokov, V.; Cherney, M.; Cheshkov, C.; Cheynis, B.; Barroso, V. Chibante; Chinellato, D. D.; Cho, S.; Chochula, P.; Choi, K.; Chojnacki, M.; Choudhury, S.; Christakoglou, P.; Christensen, C. H.; Christiansen, P.; Chujo, T.; Chung, S. U.; Cicalò, C.; Cifarelli, L.; Cindolo, F.; Cleymans, J.; Colamaria, F.; Colella, D.; Collu, A.; Colocci, M.; Balbastre, G. Conesa; Valle, Z. Conesa del; Connors, M.; Contreras, J. G.; Cormier, T. M.; Morales, Y. Corrales; Maldonado, I. Cortés; Cortese, P.; Cosentino, M. R.; Costa, F.; Crochet, P.; Albino, R. 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La; Guevara, P. Ladrón de; Fernandes, C. Lagana; Lakomov, I.; Langoy, R.; Lara, C.; Lardeux, A.; Lattuca, A.; Laudi, E.; Lea, R.; Leardini, L.; Lee, G. R.; Lee, S.; Lehas, F.; Lemmon, R. C.; Lenti, V.; Leogrande, E.; Monźon, I. Léon; Vargas, H. León; Leoncino, M.; Lévai, P.; Li, S.; Li, X.; Lien, J.; Lietava, R.; Lindal, S.; Lindenstruth, V.; Lippmann, C.; Lisa, M. A.; Ljunggren, H. M.; Lodato, D. F.; Loenne, P. I.; Loginov, V.; Loizides, Constantinos; Lopez, X.; Torres, E. López; Lowe, A. J.; Luettig, P.; Lunardon, M.; Luparello, G.; Lutz, T. H.; Maevskaya, A.; Mager, M.; Mahajan, S.; Mahmood, S. M.; Maire, A.; Majka, R.; Malaev, M.; Cervantes, I. Maldonado; Malinina, L.; Mal’Kevich, D.; Malzacher, P.; Mamonov, A.; Manko, V.; Manso, F.; Manzari, V.; Marchisone, M.; Mareš, J.; Margagliotti, G. V.; Margotti, A.; Margutti, J.; Marı́n, A.; Markert, C.; Marquard, M.; Martin, N. A.; Blanco, J. Martin; Martinengo, P.; Martı́nez, M.; Garcı́a, G.; Pedreira, M. Martinez; Mas, A.; Masciocchi, S.; Masera, M.; Masoni, A.; Mastroserio, A.; Matyja, A.; Mayer, Christoph; Mazer, J.; Mazzoni, M. A.; McDonald, D.; Meddi, F.; Melikyan, Y.; Menchaca‐Rocha, A.; Meninno, E.; Pérez, J. Mercado; Meres, M.; Miake, Y.; Mieskolainen, M. M.; Mikhaylov, K.; Milano, L.; Milošević, J.; Mischke, A.; Mishra, Aditya Nath; Miśkowiec, D.; Mitra, J.; Mitu, C. M.; Mohammadi, N.; Mohanty, B.; Molnár, L.; Zetina, L. Montaño; Montes, E.; Godoy, D. A. Moreira De; Moreno, L. A. P.; Moretto, S.; Morreale, A.; Morsch, A.; Muccifora, V.; Mudnić, E.; Mühlheim, D.; Muhuri, S.; Mukherjee, M.; Mulligan, J. D.; Munhoz, M. G.; Münzer, Robert Helmut; Murakami, H.; Murray, S.; Musa, L.; Mušinský, J.; Naik, B.; Nair, R.; Nandi, B. K.; Nania, R.; Nappi, E.; Naru, M. U.; Luz, H. Natal da; Nattrass, C.; Navarro, S. R.; Nayak, K.; Nayak, R.; Nayak, T. K.; Nazarenko, S.; Nedosekin, A.; Nellen, L.; Ng, F.; Nicassio, M.; Niculescu, M.; Niedziela, J.; Nielsen, B. 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doi:10.1140/epjp/i2016-16168-5

Cited by 94 publications

(162 citation statements)

References 24 publications

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“…where p 0 = 1.85 GeV and the parameters are given in Table III. The number of heavy quark is estimated to be dN c /dy ≃ 2 at RHIC and dN c /dy ≃ 15 at LHC, in agreement with the energy dependence of charm production cross section [64]. In the following calculation the charm quark mass used is m c = 1.3 GeV.…”

Section: Fireball and Parton Distributionssupporting

confidence: 61%

Charmed hadrons from coalescence plus fragmentation in relativistic nucleus-nucleus collisions at RHIC and LHC

et al. 2018

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In a coalescence plus fragmentation approach we calculate the heavy baryon/meson ratio and the pT spectra of charmed hadrons D 0 , Ds and Λ + c in a wide range of transverse momentum from low pT up to about 10 GeV and discuss their ratios from RHIC to LHC energies without any change of the coalescence parameters. We have included the contribution from decays of heavy hadron resonances and also the one due to fragmentation of heavy quarks which do not undergo the coalescence process. The coalescence process is tuned to have all charm quarks hadronizing in the pT → 0 limit and at finite pT charm quarks not undergoing coalescence are hadronized by independent fragmentation. The pT dependence of the baryon/meson ratios are found to be sensitive to the masses of coalescing quarks, in particular the Λc/D 0 can reach values of about 1 ÷ 1.5 at pT ≈ 3 GeV, or larger, similarly to the light baryon/meson ratio like p/π and Λ/K, however a marked difference is a quite weak pT dependence with respect to the light case, such that a larger value at intermediate pT implies a relatively large value also for the integrated yields. A comparison with other coalescence model and with the prediction of thermal model is discussed.

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Section: Fireball and Parton Distributionssupporting

confidence: 61%

Charmed hadrons from coalescence plus fragmentation in relativistic nucleus-nucleus collisions at RHIC and LHC

et al. 2018

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“…[32]. The ALICE collaboration have also published the p T spectra of K * 0 , φ, Λ, Ξ and Ω at different centralities in p-Pb collisions at 5.02 TeV [33,34,35]. However, the p T spectra of these particles in pp collisions at this energy are not available so far.…”

Section: Resultsmentioning

confidence: 99%

Nuclear modification factor in Pb–Pb and p-Pb collisions using Boltzmann transport equation

Qiao¹,

Che²,

Gu³

et al. 2020

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

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We investigate the nuclear modification factor (R AA ) of identified particles as a function of transverse momentum (p T ) in Pb-Pb collisions at √ s NN = 2.76 and 5.02 TeV, as well as p-Pb collision at 5.02 TeV in the framework of Boltzmann transport equation with relaxation time approximation. In this framework, the initial distribution of particles is chosen as the Tsallis distribution and the local equilibrium distribution as the Boltzmann-Gibbs blast-wave distribution. The nonextensive parameter q pp , the Tsallis temperature T pp and the equilibrium temperature T eq are set to be in common for all particles, while the ratio of kinetic freeze-out time to relaxation time t f /τ is different for different particles when we performed a combined fit to the R AA spectra of different particles at a given centrality. We observe that the fitted curves describe the spectra well up to p T ≈ 3 GeV/c. q pp and T eq (t f /τ ) decrease (increases) with centrality nonlinearly, while T pp is almost independent of centrality. The dependence of the rate at which q pp , T eq or t f /τ changes with centrality on the energy and the size of the colliding system is discussed.

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“…If as a first order approximation we assume that the E parameter of (25) is the average transverse momentum, p T of the given hadron species at a given CM energy, the value of the corresponding δ 2 parameters can be calculated, which can be used to test the strength of the correlation. On figure 2 the dashed lines are calculated with p T values measured by ALICE at √ s = 7 TeV [62]. The corresponding δ 2 = ∆n 2 / n 2 values are listed on this plot and in table 2.…”

Section: Unfolding Minimum Bias Parametersmentioning

confidence: 99%

Tsallis-thermometer: a QGP indicator for large and small collisional systems

Bíró¹,

Barnaföldi²,

Bı́ró³

2020

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

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The transverse momentum distribution of identified hadrons from recent years are analyzed within the thermodynamically consistent formulation of nonextensive statistics. A wide range of center-of-mass energies and average event multiplicities are studied for various hadron species. We demonstrate that the average event multiplicity is a key variable in the study of high-energy collisions and a smooth transition in the description from small to large systems is possible. For this purpose the non-extensive statistical approach is more than appropriate. The validity of the non-extensive description is explored in multiple ways: such as the calculation of integrated yields per unit rapidity, the analysis of radial flow and the consistency check of the thermodynamical variables. The 'Tsallis-thermometer' is introduced as an indicator of quark-gluon plasma in small collisional systems.

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Particle identification in ALICE: a Bayesian approach

Cited by 94 publications

References 24 publications

Charmed hadrons from coalescence plus fragmentation in relativistic nucleus-nucleus collisions at RHIC and LHC

Charmed hadrons from coalescence plus fragmentation in relativistic nucleus-nucleus collisions at RHIC and LHC

Nuclear modification factor in Pb–Pb and p-Pb collisions using Boltzmann transport equation

Tsallis-thermometer: a QGP indicator for large and small collisional systems

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