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Spectra of identified charged hadrons are measured in pPb collisions with the CMS detector at the LHC at sqrt(sNN) = 5.02 TeV. Charged pions, kaons, and protons in the transverse-momentum range pt approximately 0.1-1.7 GeV and laboratory rapidity abs(y) < 1 are identified via their energy loss in the silicon tracker. The average pt increases with particle mass and the charged multiplicity of the event. The increase of the average pt with charged multiplicity is greater for heavier hadrons. Comparisons to Monte Carlo event generators reveal that EPOS LHC, which incorporates additional hydrodynamic evolution of the created system, is able to reproduce most of the data features, unlike HIJING and AMPT. The pt spectra and integrated yields are also compared to those measured in pp and PbPb collisions at various energies. The average transverse momentum and particle ratio measurements indicate that particle production at LHC energies is strongly correlated with event particle multiplicity.
S. Chatrchyan, V. Khachatryan, A. M. Sirunyan, A. Tumasyan, W. Adam, T. Bergauer, et al. (2014). Study of the production of charged pions, kaons, and protons in pPb collisions at $$\sqrt{s_{NN}} =\; $$ s N N = 5.02 $$\,\text {TeV}$$ TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS, 74, 1-27 [10.1140/epjc/s10052-014-2847-x].
Study of the production of charged pions, kaons, and protons in pPb collisions at $$\sqrt{s_{NN}} =\; $$ s N N = 5.02 $$\,\text {TeV}$$ TeV
S. Chatrchyan;V. Khachatryan;A. M. Sirunyan;A. Tumasyan;W. Adam;T. Bergauer;M. Dragicevic;J. Erö;C. Fabjan;M. Friedl;R. Frühwirth;V. M. Ghete;N. Hörmann;J. Hrubec;M. Jeitler;W. Kiesenhofer;V. Knünz;M. Krammer;I. Krätschmer;D. Liko;I. Mikulec;D. Rabady;B. Rahbaran;C. Rohringer;H. Rohringer;R. Schöfbeck;J. Strauss;A. Taurok;W. Treberer Treberspurg;W. Waltenberger;C. E. Wulz;V. Mossolov;N. Shumeiko;J. Suarez Gonzalez;S. Alderweireldt;M. Bansal;S. Bansal;T. Cornelis;E. A. De Wolf;X. Janssen;A. Knutsson;S. Luyckx;L. Mucibello;S. Ochesanu;B. Roland;R. Rougny;Z. Staykova;H. Van Haevermaet;P. Van Mechelen;N. Van Remortel;A. Van Spilbeeck;F. Blekman;S. Blyweert;J. D’Hondt;A. Kalogeropoulos;J. Keaveney;M. Maes;A. Olbrechts;S. Tavernier;W. Van Doninck;P. Van Mulders;G. P. Van Onsem;I. Villella;C. Caillol;B. Clerbaux;G. De Lentdecker;L. Favart;A. P. R. Gay;T. Hreus;A. Léonard;P. E. Marage;A. Mohammadi;L. Perniè;T. Reis;T. Seva;L. Thomas;C. Van der Velde;P. Vanlaer;J. Wang;V. Adler;K. Beernaert;L. 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Alverson;E. Barberis;D. Baumgartel;M. Chasco;J. Haley;A. Massironi;D. Nash;T. Orimoto;D. Trocino;D. Wood;J. Zhang;A. Anastassov;K. A. Hahn;A. Kubik;L. Lusito;N. Mucia;N. Odell;B. Pollack;A. Pozdnyakov;M. Schmitt;S. Stoynev;K. Sung;M. Velasco;S. Won;D. Berry;A. Brinkerhoff;K. M. Chan;M. Hildreth;C. Jessop;D. J. Karmgard;J. Kolb;K. Lannon;W. Luo;S. Lynch;N. Marinelli;D. M. Morse;T. Pearson;M. Planer;R. Ruchti;J. Slaunwhite;N. Valls;M. Wayne;M. Wolf;L. Antonelli;B. Bylsma;L. S. Durkin;C. Hill;R. Hughes;K. Kotov;T. Y. Ling;D. Puigh;M. Rodenburg;G. Smith;C. Vuosalo;B. L. Winer;H. Wolfe;E. Berry;P. Elmer;V. Halyo;P. Hebda;J. Hegeman;A. Hunt;P. Jindal;S. A. Koay;P. Lujan;D. Marlow;T. Medvedeva;M. Mooney;J. Olsen;P. Piroué;X. Quan;A. Raval;H. Saka;D. Stickland;C. Tully;J. S. Werner;S. C. Zenz;A. Zuranski;E. Brownson;A. Lopez;H. Mendez;J. E. Ramirez Vargas;E. Alagoz;D. Benedetti;G. Bolla;D. Bortoletto;M. De Mattia;A. Everett;Z. Hu;M. Jones;K. Jung;O. Koybasi;M. Kress;N. Leonardo;D. 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Perloff;J. Roe;A. Safonov;T. Sakuma;I. Suarez;A. Tatarinov;D. Toback;N. Akchurin;C. Cowden;J. Damgov;C. Dragoiu;P. R. Dudero;C. Jeong;K. Kovitanggoon;S. W. Lee;T. Libeiro;I. Volobouev;E. Appelt;A. G. Delannoy;S. Greene;A. Gurrola;W. Johns;C. Maguire;A. Melo;M. Sharma;P. Sheldon;B. Snook;S. Tuo;J. Velkovska;M. W. Arenton;S. Boutle;B. Cox;B. Francis;J. Goodell;R. Hirosky;A. Ledovskoy;C. Lin;C. Neu;J. Wood;S. Gollapinni;R. Harr;P. E. Karchin;C. Kottachchi Kankanamge Don;P. Lamichhane;A. Sakharov;D. A. Belknap;L. Borrello;D. Carlsmith;M. Cepeda;S. Dasu;E. Friis;M. Grothe;R. Hall Wilton;M. Herndon;A. Hervé;P. Klabbers;J. Klukas;A. Lanaro;R. Loveless;A. Mohapatra;M. U. Mozer;I. Ojalvo;G. A. Pierro;G. Polese;I. Ross;A. Savin;W. H. Smith;J. Swanson
2014
Abstract
Spectra of identified charged hadrons are measured in pPb collisions with the CMS detector at the LHC at sqrt(sNN) = 5.02 TeV. Charged pions, kaons, and protons in the transverse-momentum range pt approximately 0.1-1.7 GeV and laboratory rapidity abs(y) < 1 are identified via their energy loss in the silicon tracker. The average pt increases with particle mass and the charged multiplicity of the event. The increase of the average pt with charged multiplicity is greater for heavier hadrons. Comparisons to Monte Carlo event generators reveal that EPOS LHC, which incorporates additional hydrodynamic evolution of the created system, is able to reproduce most of the data features, unlike HIJING and AMPT. The pt spectra and integrated yields are also compared to those measured in pp and PbPb collisions at various energies. The average transverse momentum and particle ratio measurements indicate that particle production at LHC energies is strongly correlated with event particle multiplicity.
S. Chatrchyan, V. Khachatryan, A. M. Sirunyan, A. Tumasyan, W. Adam, T. Bergauer, et al. (2014). Study of the production of charged pions, kaons, and protons in pPb collisions at $$\sqrt{s_{NN}} =\; $$ s N N = 5.02 $$\,\text {TeV}$$ TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS, 74, 1-27 [10.1140/epjc/s10052-014-2847-x].
S. Chatrchyan;V. Khachatryan;A. M. Sirunyan;A. Tumasyan;W. Adam;T. Bergauer;M. Dragicevic;J. Erö;C. Fabjan;M. Friedl;R. Frühwirth;V. M. Ghete;N. Hörma...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/365916
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.