Hadronic jet production at the CERN proton-antiproton collider

Arnison, G.; Astbury, A.; Aubert, B.; Bacci, C.; Bauer, G.; Bézaguet, A.; Böck, R.; Bowcock, T. J. V.; Calvetti, M.; Carroll, Timothy J.; Catz, P.; Cennini, P.; Centro, S.; Ceradini, F.; Cittolin, S.; Cline, D.; Cochet, C.; Colás, J.; Corden, M.; Dallman, D.; Debeer, M.; Negra, M. Della; Demoulin, M.; Denegri, D.; Ciaccio, A. Di; DiBitonto, D.; Dobrzyński, L.; Dowell, J. D.; Eggert, K.; Eisenhandler, E.; Ellis, N.; Erhard, P.; Faissner, H.; Fontaine, G.; Frey, R.; Frühwirth, R.; Garvey, J.; Geer, S.; Chesquière, C.; Ghez, Philippe; Giboni, Karl; Gibson, W. R.; Giraud‐Héraud, Y.; Givernaud, A.; Gonidec, A.; Grayer, G.; Gutiérrez, P.; Hansl‐Kozanecka, T.; Haynes, W.J.; Hertzberger, L.O.; Hodges, C.; Hoffmann, D.; Hoffmann, Hans; Holthuizen, D.; Homer, R. J.; Honma, A.; Jank, W.; Jorat, G.; Kalmus, P. I. P.; Karimäki, V.; Keeler, R.; Kenyon, I. R.; Kernan, A.; Kinnunen, R.; Kowalski, H.; Kozanecki, W.; Kryn, D.; Kyberd, P.; Lacava, F.; Laugier, J. P.; Lees, J. P.; Lehmann, Harry; Leuchs, R.; Lévêque, A.; Linglin, D.; Locci, E.; Loret, M.; Malosse, J. J.; Markiewicz, T.; Maurin, G.; McMahon, T. J.; Mendiburu, J. P.; Minard, M.-N.; Moricca, M.; Muirhead, H.; Müller, F.; Nandi, A.; Naumann, L.; Norton, A.; Orkin-Lecourtois, A.; Paoluzi, L.; Mortari, G. Piano; Pietarinen, E.; Pimiä, M.; Placci, A.; Radermacher, E.; Ransdell, J.; Reithler, H.; Revol, J. P.; Rich, J.; Rijssenbeek, M.; Roberts, Craig D.; Rohlf, J.; Rossi, Paolo; Rubbia, C.; Sadoulet, B.; Sajot, G.; Salvi, G.; Salvini, G.; Sass, J.; Saudraix, J.; Savoy-Navarro, A.; Schinzel, D.; Scott, W. G.; Shah, T.; Smith, D.; Spiro, M.; Strauss, J.; Sumorok, K.; Szoncsó, F.; Tao, C.; Thompson, G.; Timmer, J.; Tscheslog, E.; Tuominiemi, J.; Vialle, J.P.; Vrána, J.; Vuillemin, V.; Wahl, H. D.; Watkins, P. M.; Wilson, J. A.; Xie, Y.; Yvert, M.; Zurfluh, E.

doi:10.1016/0370-2693(83)90254-x

Cited by 129 publications

(48 citation statements)

References 18 publications

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“…in the calorimeter resolution [5], [13]. The CDF experiment, which has a scintillating tile geometry similar to CMS (and a completely different magnetic field configuration compared to UA1, solenoid vs. dipole), observed a transverse energy resolution of σ = 0.47 √ ΣE T GeV 1/2 in Run I [14].…”

Section: Expected Performance In Minimum-bias Collisionsmentioning

confidence: 99%

See 1 more Smart Citation

Measurement of missing transverse energy with the CMS detector at the LHC

Avery

Green

et al. 2006

Eur. Phys. J. C

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Section: Expected Performance In Minimum-bias Collisionsmentioning

confidence: 99%

“…as a function of reconstructed ΣE T for the different cone sizes. A cone size of R = 0.2 contains only the core of the jet [13]. At ΣE T = 1700 GeV which corresponds to jets with average transverse momenta of approximately 530 GeV/c, about 3/4 of the reconstructed ΣE T is inside the R = 0.5 jet cones.…”

Section: Contribution Of Jets and Unclustered Towersmentioning

confidence: 99%

Measurement of missing transverse energy with the CMS detector at the LHC

Avery

Green

et al. 2006

Eur. Phys. J. C

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“…Although seeded cone algorithms are not infrared stable, we will also present results with a seeded cone algorithm because they are still frequently used in experiments. More precisely, we will use a seeded, iterative cone with progressive removal that comes with JETRAD and was brought into use by the CERN UA1 collaboration [12]. NLOJET++ comes with an exact seedless cone algorithm which was first proposed in [13] and is finding all stable cones in a given configuration, ensuring infrared safety.…”

Section: Qcd Calculationsmentioning

confidence: 99%

Dijet angular distributions at \sqrt s = 14 TeV

Boelaert¹

2010

Proceedings of European Physical Society Europhysics Conference on High Energy Physics — PoS(EPS-HEP 2009)

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Abstract. We present a Monte Carlo study of dijet angular distributions at √ s = 14 TeV. First we perform a next-to-leading order QCD study; we calculate the distributions in four different bins of dijet invariant mass using different Monte Carlo programs and different jet algorithms, and we also investigate the systematic uncertainties coming from the choice of the parton distribution functions and the renormalization and factorization scales. In the second part of this paper, we present the effects on the distributions coming from a model including gravitational scattering and black hole formation in a world with large extra dimensions. Assuming a 25% systematic uncertainty, we report a discovery potential for the mass bin 1 < Mjj < 2 TeV at 10 pb −1 integrated luminosity.

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“…Studies of the jet reconstruction performance of ALICE tracking plus EMCal have been performed using a UA1-type cone algorithm [ 20]. The algorithm has been extended to estimate and subtract the large uncorrelated background of energy from the underlying event on an event-wise basis [ 21].…”

Section: Jet Performance Studies With Alice+emcalmentioning

confidence: 99%