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Acharya, S, Adamova, D, Adler, A, Rinella, G Aglieri, Agnello, M, Agrawal, N, Ahammed, Z, Ahmad, S, Ahn, SU, Ahuja, I et al (show 1022 more authors) , Akindinov, A, Al-Turany, M, Aleksandrov, D, Alessandro, B, Alfanda, HM, Alfaro Molina, R, Ali, B, Ali, Y, Alici, A, Alizadehvandchali, N, Alkin, A, Alme, J, Alocco, G, Alt, T, Altsybeev, I, Anaam, MN, Andrei, C, Andronic, A, Anguelov, V, Antinori, F, Antonioli, P, Anuj, C, Apadula, N, Aphecetche, L, Appelshaeuser, H, Arcelli, S, Arnaldi, R, Arsene, IC, Arslandok, M, Augustinus, A, Averbeck, R, Aziz, S, Azmi, MD, Badala, A, Baek, YW, Bai, X, Bailhache, R, Bailung, Y, Bala, R, Balbino, A, Baldisseri, A, Balis, B, Banerjee, D, Banoo, Z, Barbera, R, Barioglio, L, Barlou, M, Barnafoeldi, GG, Barnby, LS, Barret, V, Barreto, L, Bartels, C, Barth, K, Bartsch, E, Baruffaldi, F, Bastid, N, Basu, S, Batigne, G, Battistini, D, Batyunya, B, Bauri, D, Alba, JL Bazo, Bearden, IG, Beattie, C, Becht, P, Behera, D, Belikov, I, Hechavarria, ADC Bell, Bellini, F, Bellwied, R, Belokurova, S, Belyaev, V, Bencedi, G, Beole, S, Bercuci, A, Berdnikov, Y, Berdnikova, A, Bergmann, L, Besoiu, MG, Betev, L, Bhaduri, PP, Bhasin, A, Bhat, IR, Bhat, MA, Bhattacharjee, B, Bianchi, L, Bianchi, N, Bielcik, J, Bielcikova, J, Biernat, J, Bilandzic, A, Biro, G, Biswas, S, Blair, JT, Blau, D, Blidaru, MB, Bluhme, N, Blume, C, Boca, G, Bock, F, Bodova, T, Bogdanov, A, Boi, S, Bok, J, Boldizsar, L, Bolozdynya, A, Bombara, M, Bond, PM, Bonomi, G, Borel, H, Borissov, A, Bossi, H, Botta, E, Bratrud, L, Braun-Munzinger, P, Bregant, M, Broz, M, Bruno, GE, Buckland, MD, Budnikov, D, Buesching, H, Bufalino, S, Bugnon, O, Buhler, P, Buthelezi, Z, Butt, JB, Bylinkin, A, Bysiak, SA, Cai, M, Caines, H, Caliva, A, Villar, E Calvo, Camacho, JMM, Camacho, RS, Camerini, P, Canedo, FDM, Carabas, M, Carnesecchi, F, Caron, R, Castellanos, J Castillo, Catalano, F, Sanchez, C Ceballos, Chakaberia, I, Chakraborty, P, Chandra, S, Chapeland, S, Chartier, M 
ORCID: 0000-0003-0578-5567, Chattopadhyay, S, Chattopadhyay, S, Chavez, TG, Cheng, T, Cheshkov, C, Cheynis, B, Barroso, V Chibante, Chinellato, DD, Chizzali, ES, Cho, J, Cho, S, Chochula, P, Christakoglou, P, Christensen, CH, Christiansen, P, Chujo, T, Ciacco, M, Cicalo, C, Cifarelli, L, Cindolo, F, Ciupek, MR, Clai, G, Colamaria, F, Colburn, JS, Colella, D, Collu, A, Colocci, M, Concas, M, Balbastre, G Conesa, del Valle, Z Conesa, Contin, G, Contreras, JG, Coquet, ML, Cormier, TM, Cortese, P, Cosentino, MR, Costa, F, Costanza, S, Crochet, P, Cruz-Torres, R, Cuautle, E, Cui, P, Cunqueiro, L, Dainese, A, Danisch, MC, Danu, A, Das, P, Das, P, Das, S, Dash, S, De Caro, A, de Cataldo, G, De Cilladi, L, de Cuveland, J, De Falco, A, De Gruttola, D, De Marco, N, De Martin, C, De Pasquale, S, Deb, S, Degenhardt, HF, Deja, KR, Del Grande, R, Dello Stritto, L, Deng, W, Dhankher, P, Di Bari, D, Di Mauro, A, Diaz, RA, Dietel, T, Ding, Y, Divia, R, Dixit, DU, Djuvsland, O, Dmitrieva, U, Dobrin, A, 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(2023)
Multiplicity dependence of charged-particle production in pp, p-Pb, Xe-Xe and Pb-Pb collisions at the LHC.
PHYSICS LETTERS B, 845.
p. 138110.
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Abstract
Multiplicity (Nch) distributions and transverse momentum (pT) spectra of inclusive primary charged particles in the kinematic range of |η|<0.8 and 0.15 GeV/c<pT<10 GeV/c are reported for pp, p–Pb, Xe–Xe and Pb–Pb collisions at centre-of-mass energies per nucleon pair ranging from sNN=2.76 TeV up to 13 TeV. A sequential two-dimensional unfolding procedure is used to extract the correlation between the transverse momentum of primary charged particles and the charged-particle multiplicity of the corresponding collision. This correlation sharply characterises important features of the final state of a collision and, therefore, can be used as a stringent test of theoretical models. The multiplicity distributions as well as the mean and standard deviation derived from the pT spectra are compared to state-of-the-art model predictions. Providing these fundamental observables of bulk particle production consistently across a wide range of collision energies and system sizes can serve as an important input for tuning Monte Carlo event generators.
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