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CRIS Current Research Information System
The top-quark pair production cross section in 7 TeV center-of-mass energy proton–proton collisions is measured using data collected by the CMS detector at the LHC. The measurement uses events with one jet identified as a hadronically decaying τ lepton and at least four additional energetic jets, at least one of which is identified as coming from a b quark. The analyzed data sample corresponds to an integrated luminosity of 3.9 fb−1 recorded by a dedicated multijet plus hadronically decaying τ trigger. A neural network has been developed to separate the top-quark pairs from the W+jets and multijet backgrounds. The measured value of TeX is consistent with the standard model predictions.
S. Chatrchyan, V. Khachatryan, A. M. Sirunyan, A. Tumasyan, W. Adam, E. Aguilo, et al. (2013). Measurement of the t\bar t production cross section in the τ+jets channel in pp collisions at sqrt{s}=7 TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS, 73, 2386-2403 [10.1140/epjc/s10052-013-2386-x].
Measurement of the t\bar t production cross section in the τ+jets channel in pp collisions at sqrt{s}=7 TeV
S. Chatrchyan;V. Khachatryan;A. M. Sirunyan;A. Tumasyan;W. Adam;E. Aguilo;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;M. Pernicka;D. Rabady;B. Rahbaran;C. Rohringer;H. Rohringer;R. Schöfbeck;J. Strauss;A. Taurok;W. Waltenberger;C. E. Wulz;V. Mossolov;N. Shumeiko;J. Suarez Gonzalez;M. Bansal;S. Bansal;T. Cornelis;E. A. Wolf;X. Janssen;S. Luyckx;L. Mucibello;S. Ochesanu;B. Roland;R. Rougny;M. Selvaggi;H. Haevermaet;P. Mechelen;N. Remortel;A. Spilbeeck;F. Blekman;S. Blyweert;J. D’Hondt;R. Gonzalez Suarez;A. Kalogeropoulos;M. Maes;A. Olbrechts;S. Tavernier;W. Doninck;P. Mulders;G. P. Onsem;I. Villella;B. Clerbaux;G. Lentdecker;V. Dero;A. P. R. Gay;T. Hreus;A. Léonard;P. E. Marage;A. Mohammadi;T. Reis;L. Thomas;C. Vander Velde;P. Vanlaer;J. Wang;V. Adler;K. Beernaert;A. Cimmino;S. Costantini;G. Garcia;M. Grunewald;B. Klein;J. Lellouch;A. Marinov;J. Mccartin;A. A. Ocampo Rios;D. Ryckbosch;M. Sigamani;N. Strobbe;F. Thyssen;M. Tytgat;S. Walsh;E. Yazgan;N. Zaganidis;S. Basegmez;G. Bruno;R. Castello;L. Ceard;C. Delaere;T. du Pree;D. Favart;L. Forthomme;A. Giammanco;J. Hollar;V. Lemaitre;J. Liao;O. Militaru;C. Nuttens;D. Pagano;A. Pin;K. Piotrzkowski;J. M. Vizan Garcia;N. Beliy;T. Caebergs;E. Daubie;G. H. Hammad;G. A. Alves;M. Correa Martins Junior;T. Martins;M. E. Pol;M. H. G. Souza;W. L. Aldá Júnior;W. Carvalho;A. Custódio;E. M. Costa;D. Jesus Damiao;C. Oliveira Martins;S. Fonseca De Souza;H. Malbouisson;M. Malek;D. Matos Figueiredo;L. Mundim;H. Nogima;W. L. Prado Da Silva;A. Santoro;L. Soares Jorge;A. Sznajder;A. Vilela Pereira;T. S. Anjos;C. A. Bernardes;F. A. Dias;T. R. Fernandez Perez Tomei;E. M. Gregores;C. Lagana;F. Marinho;P. G. Mercadante;S. F. Novaes;Sandra S. Padula;V. Genchev;P. Iaydjiev;S. Piperov;M. Rodozov;S. Stoykova;G. Sultanov;V. Tcholakov;R. Trayanov;M. Vutova;A. Dimitrov;R. Hadjiiska;V. Kozhuharov;L. Litov;B. Pavlov;P. Petkov;J. G. Bian;G. M. Chen;H. S. Chen;C. H. Jiang;D. Liang;S. Liang;X. Meng;J. Tao;J. Wang;X. Wang;Z. Wang;H. Xiao;M. Xu;J. Zang;Z. Zhang;C. Asawatangtrakuldee;Y. Ban;Y. Guo;Q. Li;W. Li;S. Liu;Y. Mao;S. J. Qian;D. Wang;L. Zhang;W. Zou;C. Avila;C. A. Carrillo Montoya;J. P. Gomez;B. Gomez Moreno;A. F. Osorio Oliveros;J. C. Sanabria;N. Godinovic;D. Lelas;R. Plestina;D. Polic;I. Puljak;Z. Antunovic;M. Kovac;V. Brigljevic;S. Duric;K. Kadija;J. Luetic;D. Mekterovic;S. Morovic;A. Attikis;M. Galanti;G. Mavromanolakis;J. Mousa;C. Nicolaou;F. Ptochos;P. A. Razis;M. Finger;M. Finger;Y. Assran;S. Elgammal;A. Ellithi Kamel;M. A. Mahmoud;A. Mahrous;A. Radi;M. Kadastik;M. Müntel;M. Murumaa;M. Raidal;L. Rebane;A. Tiko;P. Eerola;G. Fedi;M. Voutilainen;J. Härkönen;A. Heikkinen;V. Karimäki;R. Kinnunen;M. J. Kortelainen;T. Lampén;K. Lassila Perini;S. Lehti;T. Lindén;P. Luukka;T. Mäenpää;T. Peltola;E. Tuominen;J. Tuominiemi;E. Tuovinen;D. Ungaro;L. Wendland;K. Banzuzi;A. Karjalainen;A. 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Taylor;S. Tkaczyk;N. V. Tran;L. Uplegger;E. W. Vaandering;R. Vidal;J. Whitmore;W. Wu;F. Yang;J. C. Yun;D. Acosta;P. Avery;D. Bourilkov;M. Chen;T. Cheng;S. Das;M. Gruttola;G. P. Giovanni;D. Dobur;A. Drozdetskiy;R. D. Field;M. Fisher;Y. Fu;I. K. Furic;J. Gartner;J. Hugon;B. Kim;J. Konigsberg;A. Korytov;A. Kropivnitskaya;T. Kypreos;J. F. Low;K. Matchev;P. Milenovic;G. Mitselmakher;L. Muniz;M. Park;R. Remington;A. Rinkevicius;P. Sellers;N. Skhirtladze;M. Snowball;J. Yelton;M. Zakaria;V. Gaultney;S. Hewamanage;L. M. Lebolo;S. Linn;P. Markowitz;G. Martinez;J. L. Rodriguez;T. Adams;A. Askew;J. Bochenek;J. Chen;B. Diamond;S. V. Gleyzer;J. Haas;S. Hagopian;V. Hagopian;M. Jenkins;K. F. Johnson;H. Prosper;V. Veeraraghavan;M. Weinberg;M. M. Baarmand;B. Dorney;M. Hohlmann;H. Kalakhety;I. Vodopiyanov;F. Yumiceva;M. R. Adams;I. M. Anghel;L. Apanasevich;Y. Bai;V. E. Bazterra;R. R. Betts;I. Bucinskaite;J. Callner;R. Cavanaugh;O. Evdokimov;L. Gauthier;C. E. Gerber;D. J. Hofman;S. Khalatyan;F. 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Eshaq;T. Ferbel;A. Garcia Bellido;P. Goldenzweig;J. Han;A. Harel;D. C. Miner;D. Vishnevskiy;M. Zielinski;A. Bhatti;R. Ciesielski;L. Demortier;K. Goulianos;G. Lungu;S. Malik;C. Mesropian;S. Arora;A. Barker;J. P. Chou;C. Contreras Campana;E. Contreras Campana;D. Duggan;D. Ferencek;Y. Gershtein;R. Gray;E. Halkiadakis;D. Hidas;A. Lath;S. Panwalkar;M. Park;R. Patel;V. Rekovic;J. Robles;K. Rose;S. Salur;S. Schnetzer;C. Seitz;S. Somalwar;R. Stone;S. Thomas;M. Walker;G. Cerizza;M. Hollingsworth;S. Spanier;Z. C. Yang;A. York;R. Eusebi;W. Flanagan;J. Gilmore;T. Kamon;V. Khotilovich;R. Montalvo;I. Osipenkov;Y. Pakhotin;A. Perloff;J. Roe;A. Safonov;T. Sakuma;S. Sengupta;I. Suarez;A. Tatarinov;D. Toback;N. Akchurin;J. Damgov;C. Dragoiu;P. R. Dudero;C. Jeong;K. Kovitanggoon;S. W. Lee;T. Libeiro;I. Volobouev;E. Appelt;A. G. Delannoy;C. Florez;S. Greene;A. Gurrola;W. Johns;P. Kurt;C. Maguire;A. Melo;M. Sharma;P. Sheldon;B. Snook;S. Tuo;J. Velkovska;M. W. Arenton;M. Balazs;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;M. Anderson;D. A. Belknap;L. Borrello;D. Carlsmith;M. Cepeda;S. Dasu;E. Friis;L. Gray;K. S. Grogg;M. Grothe;R. Hall Wilton;M. Herndon;A. Hervé;P. Klabbers;J. Klukas;A. Lanaro;C. Lazaridis;R. Loveless;A. Mohapatra;M. U. Mozer;I. Ojalvo;F. Palmonari;G. A. Pierro;I. Ross;A. Savin;W. H. Smith;J. Swanson
2013
Abstract
The top-quark pair production cross section in 7 TeV center-of-mass energy proton–proton collisions is measured using data collected by the CMS detector at the LHC. The measurement uses events with one jet identified as a hadronically decaying τ lepton and at least four additional energetic jets, at least one of which is identified as coming from a b quark. The analyzed data sample corresponds to an integrated luminosity of 3.9 fb−1 recorded by a dedicated multijet plus hadronically decaying τ trigger. A neural network has been developed to separate the top-quark pairs from the W+jets and multijet backgrounds. The measured value of TeX is consistent with the standard model predictions.
S. Chatrchyan, V. Khachatryan, A. M. Sirunyan, A. Tumasyan, W. Adam, E. Aguilo, et al. (2013). Measurement of the t\bar t production cross section in the τ+jets channel in pp collisions at sqrt{s}=7 TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS, 73, 2386-2403 [10.1140/epjc/s10052-013-2386-x].
S. Chatrchyan;V. Khachatryan;A. M. Sirunyan;A. Tumasyan;W. Adam;E. Aguilo;T. Bergauer;M. Dragicevic;J. Erö;C. Fabjan;M. Friedl;R. Frühwirth;V. M. Ghet...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/231674
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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.