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Bicocca Open Archive
A search is presented for heavy bosons decaying to Z(nu(nu) over bar )V(q (q) over bar'), where V can be a W or a Z boson. A sample of proton-proton collision data at root sp = 13 TeV was collected by the CMS experiment during 2016-2018. The data correspond to an integrated luminosity of 137 fb(-1). The event categorization is based on the presence of high-momentum jets in the forward region to identify production through weak vector boson fusion. Additional categorization uses jet substructure techniques and the presence of large missing transverse momentum to identify W and Z bosons decaying to quarks and neutrinos, respectively. The dominant standard model backgrounds are estimated using data taken from control regions. The results are interpreted in terms of radion, W' boson, and graviton models, under the assumption that these bosons are produced via gluon-gluon fusion, Drell-Yan, or weak vector boson fusion processes. No evidence is found for physics beyond the standard model. Upper limits are set at 95% confidence level on various types of hypothetical new bosons. Observed (expected) exclusion limits on the masses of these bosons range from 1.2 to 4.0 (1.1 to 3.7) TeV.
Tumasyan, A., Adam, W., Andrejkovic, J., Bergauer, T., Chatterjee, S., Dragicevic, M., et al. (2022). Search for heavy resonances decaying to in proton-proton collisions at. PHYSICAL REVIEW D, 106(1) [10.1103/physrevd.106.012004].
Search for heavy resonances decaying to in proton-proton collisions at
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Rappoccio;A. Williams;G. Alverson;E. Barberis;Y. Haddad;A. Hortiangtham;J. Li;G. Madigan;B. Marzocchi;D. M. Morse;V. Nguyen;T. Orimoto;A. Parker;L. Skinnari;A. Tishelman-Charny;T. Wamorkar;B. Wang;A. Wisecarver;D. Wood;S. Bhattacharya;J. Bueghly;Z. Chen;A. Gilbert;T. Gunter;K. A. Hahn;Y. Liu;N. Odell;M. H. Schmitt;M. Velasco;R. Band;R. Bucci;A. Das;N. Dev;R. Goldouzian;M. Hildreth;K. Hurtado Anampa;C. Jessop;K. Lannon;J. Lawrence;N. Loukas;D. Lutton;N. Marinelli;I. Mcalister;T. McCauley;C. Mcgrady;F. Meng;K. Mohrman;Y. Musienko;R. Ruchti;P. Siddireddy;A. Townsend;M. Wayne;A. Wightman;M. Wolf;M. Zarucki;L. Zygala;B. Bylsma;B. Cardwell;L. S. Durkin;B. Francis;C. Hill;M. Nunez Ornelas;K. Wei;B. L. Winer;B. R. Yates;F. M. Addesa;B. Bonham;P. Das;G. Dezoort;P. Elmer;A. Frankenthal;B. Greenberg;N. Haubrich;S. Higginbotham;A. Kalogeropoulos;G. Kopp;S. Kwan;D. Lange;M. T. Lucchini;D. Marlow;K. Mei;I. Ojalvo;J. Olsen;D. Stickland;C. Tully;S. Malik;S. Norberg;A. S. Bakshi;V. E. Barnes;R. Chawla;S. Das;L. Gutay;M. Jones;A. W. Jung;S. Karmarkar;M. Liu;G. Negro;N. Neumeister;G. Paspalaki;C. C. Peng;S. Piperov;A. Purohit;J. F. Schulte;M. Stojanovic;J. Thieman;F. Wang;R. Xiao;W. Xie;J. Dolen;N. Parashar;A. Baty;M. Decaro;S. Dildick;K. M. Ecklund;S. Freed;P. Gardner;F. J. M. Geurts;A. Kumar;W. Li;B. P. Padley;R. Redjimi;W. Shi;A. G. Stahl Leiton;S. Yang;L. Zhang;Y. Zhang;A. Bodek;P. de Barbaro;R. Demina;J. L. Dulemba;C. Fallon;T. Ferbel;M. Galanti;A. Garcia-Bellido;O. Hindrichs;A. Khukhunaishvili;E. Ranken;R. Taus;B. Chiarito;J. P. Chou;A. Gandrakota;Y. Gershtein;E. Halkiadakis;A. Hart;M. Heindl;O. Karacheban;I. Laflotte;A. Lath;R. Montalvo;K. Nash;M. Osherson;S. Salur;S. Schnetzer;S. Somalwar;R. Stone;S. A. Thayil;S. Thomas;H. Wang;H. Acharya;A. G. Delannoy;S. Fiorendi;S. Spanier;O. Bouhali;M. Dalchenko;A. Delgado;R. Eusebi;J. Gilmore;T. Huang;T. Kamon;H. Kim;S. Luo;S. Malhotra;R. Mueller;D. Overton;D. Rathjens;A. Safonov;N. Akchurin;J. Damgov;V. Hegde;S. Kunori;K. Lamichhane;S. W. Lee;T. Mengke;S. Muthumuni;T. Peltola;I. Volobouev;Z. Wang;A. Whitbeck;E. Appelt;S. Greene;A. Gurrola;W. Johns;A. Melo;H. Ni;K. Padeken;F. Romeo;P. Sheldon;S. Tuo;J. Velkovska;M. W. Arenton;B. Cox;G. Cummings;J. Hakala;R. Hirosky;M. Joyce;A. Ledovskoy;A. Li;C. Neu;B. Tannenwald;S. White;E. Wolfe;N. Poudyal;K. Black;T. Bose;J. Buchanan;C. Caillol;S. Dasu;I. De Bruyn;P. Everaerts;F. Fienga;C. Galloni;H. He;M. Herndon;A. Herv??;U. Hussain;A. Lanaro;A. Loeliger;R. Loveless;J. Madhusudanan Sreekala;A. Mallampalli;A. Mohammadi;D. Pinna;A. Savin;V. Shang;V. Sharma;W. H. Smith;D. Teague;S. Trembath-reichert;W. Vetens
2022
Abstract
A search is presented for heavy bosons decaying to Z(nu(nu) over bar )V(q (q) over bar'), where V can be a W or a Z boson. A sample of proton-proton collision data at root sp = 13 TeV was collected by the CMS experiment during 2016-2018. The data correspond to an integrated luminosity of 137 fb(-1). The event categorization is based on the presence of high-momentum jets in the forward region to identify production through weak vector boson fusion. Additional categorization uses jet substructure techniques and the presence of large missing transverse momentum to identify W and Z bosons decaying to quarks and neutrinos, respectively. The dominant standard model backgrounds are estimated using data taken from control regions. The results are interpreted in terms of radion, W' boson, and graviton models, under the assumption that these bosons are produced via gluon-gluon fusion, Drell-Yan, or weak vector boson fusion processes. No evidence is found for physics beyond the standard model. Upper limits are set at 95% confidence level on various types of hypothetical new bosons. Observed (expected) exclusion limits on the masses of these bosons range from 1.2 to 4.0 (1.1 to 3.7) TeV.
Tumasyan, A., Adam, W., Andrejkovic, J., Bergauer, T., Chatterjee, S., Dragicevic, M., et al. (2022). Search for heavy resonances decaying to in proton-proton collisions at. PHYSICAL REVIEW D, 106(1) [10.1103/physrevd.106.012004].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/429458
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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 598/2018 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.