QCD studies using a cone-based jet finding algorithm fore + e ? collisons at LEP

Akers, R.; Alexander, G.; Allison, J.; Anderson, K. J.; Arcelli, S.; Asai, S.; Astbury, A.; Axen, D.; Azuelos, G.; Ball, A. H.; Barlow, R. J.; Barnett, S.; Bartoldus, R.; Batley, J. R.; Beaudoin, G.; Beck, A.; Beck, G. A.; Becker, J.; Beeston, C.; Behnke, T.; Bell, K. W.; Bella, G.; Bentkowski, P.; Berlich, P.; Bethke, S.; Biebel, O.; Bloodworth, I. J.; Bock, P.; Boden, B.; Bosch, H. M.; Boutemeur, M.; Bright-Thomas, P.; Brown, R. M.; Buijs, A.; Burckhart, H.; Burgard, C.; Capiluppi, P.; Carnegie, R. K.; Carter, A. A.; Carter, J. R.; Chang, C. Y.; Charlesworth, C.; Charlton, D. G.; Chu, S. L.; Clarke, P. E.L.; Clayton, J. C.; Cohen, I.; Conboy, J. E.; Cooper, M.; Coupland, M.; Cuffiani, M.; Dado, S.; Dallapiccola, C.; Dallavalle, G. M.; Darling, C.; Jong, S. J. De; Pozo, L. A. del; Deng, Hui; Dittmar, M.; Dixit, M. S.; Silva, E. do Couto e; Duboscq, J. E.; Duchovni, E.; Duckeck, G.; Duerdoth, I. P.; Dumas, D. J.P.; Elcombe, P. A.; Estabrooks, P. G.; Etzion, E.; Evans, H.; Fabbri, F.; Fabbro, B.; Fierro, M.; Fincke-Keeler, M.; Fischer, H. M.; Folman, R.; Fong, D. G.; Foucher, M.; Fukui, H.; Fürtjes, A.; Gaidot, A.; Gary, J. W.; Gascon, J.; Geddes, N. I.; Geich-Gimbel, Ch.; Gensler, S. W.; Gentit, F. X.; Geralis, T.; Giacomelli, G.; Giacomelli, P.; Giacomelli, Roberto; Gibson, V.; Gibson, W. R.; Gillies, J. D.; Goldberg, J.; Gingrich, D. M.; Goodrick, M. J.; Gorn, W.; Grandi, C.; Grant, F. C.; Hagemann, J.; Hanson, G.; Hansroul, M.; Hargrove, C. K.; narrison, P. F.; Hart, J. C.; Hart, P. A.; Hattersley, P. M.; Hauschild, M.; Hawkes, C. M.; Heflin, E.; Hemingway, R. J.; Herten, G.; Heuer, R. D.; Hill, J. C.; Hillier, S. J.; Hilse, T.; Hinshaw, D. A.; Hobson, P. R.; Hochman, D.; Homer, R. J.; Honma, A. K.; Hughes-Jones, R. E.; Humbert, R.; Igo‐Kemenes, P.; Ihssen, H.; Imrie, D. C.; Jawahery, A.; Jeffreys, P. W.; Jérémie, H.; Jimack, M.; Jones, M.; Jones, Roger; Jovanović, P.; Jui, C.; Karlen, D.; Kawagoe, K.; Kawamoto, T.; Keeler, R.; Kellogg, R. G.; Kennedy, B. W.; King, J.; Kluth, S.; Kobayashi, Tatsuo; Kobel, M.; Koetke, D. S.; Kokott, T. P.; Komamiya, S.; Kowalewski, R.; Howard, Robert; Krogh, J. von; Kroll, J.; Kyberd, P.; Lafferty, G. D.; Lafoux, H.; Lahmann, R.; Lauber, J.; Layter, J. G.; Leblanc, P.; Dû, P. Le; Lee, A. M.; Lefebvre, E.; Lehto, M. H.; Lellouch, D.; Leroy, C.; Letts, J.; Levinson, L. J.; Li, Z.; Lloyd, S. L.; Loebinger, F. K.; Long, G. D.; Lorazo, B.; Losty, M. J.; Lou, X.; Ludwig, J.; Luig, A.; Mannelli, M.; Marcellini, S.; Markus, C.; Martin, A. J.; Martín, J. P.; Mäshimo, T.; Mättig, P.; Maur, U.; McKenna, J. A.; McMahon, T. J.; McNutt, J. R.; Meijers, F.; Merritt, F. S.; Mes, H.; Michelini, A.; Middleton, R. P.; Mikenberg, G.; Mildenberger, J.; Miller, D. J.; Mir, R.; Mohr, W.; Moisan, C.; Montanari, A.; Mori, T.; Morii, M.; Müller, U.; Nellen, B.; Nguyen, H. H.; O’Neale, S. W.; Oakham, F. G.; Odorici, F.; Ogren, H. O.; Oram, C. J.; Oreglia, M. J.; Orito, S.; Pansart, J. P.; Paschievici, P.; Patrick, G. N.; Pearce, M. J.; Pfister, P.; Pilcher, J. E.; Pinfold, J. L.; Pitman, D.; Plane, D. E.; Poffenberger, P.; Poli, B.; Pritchard, T. W.; Przysiezniak, H.; Quast, G.; Redmond, M. W.; Rees, D. L.; Richards, G. E.; Rison, M. G.; Robins, S. A.; Robinson, D.; Rollnik, A.; Roney, J. M.; Ros, E.; Rossberg, S.; Rossi, A. M.; Rosvick, M.; Routenburg, P.; Runge, K.; Runólfsson, Ö.; Rust, D. R.; Sasaki, M.; Sbarra, C.; Schaile, A. D.; Schaile, O.; Scharf, F.; Scharff-Hansen, P.; Schenk, P.; Schmitt, B.; Schmitt, H. von der; Schröder, M.; Schultz‐Coulon, H.‐C.; Schütz, P.; Schulz, M.; Schwick, C.; Schwiening, J.; Scott, W. G.; Settles, M.; Shears, T.; Shen, B. C.; Shepherd-Themistocleous, C. H.; Sherwood, P.; Siroli, G. P.; Skillman, A.; Skuja, A.; Smith, A. M.; Smith, T. J.; Snow, G. A.; Sobie, R.; Springer, R. W.; Sproston, M.; Stahl, A.; Stegmann, C.; Stephens, K.; Steuerer, J.; Ströhmer, R.; Strom, D.; Takeda, Hiroshi; Tarem, S.; Tecchio, M.; Teixeira-Dias, P.; Tesch, N.; Thomson, M. A.; Torrente-Luján, E.; Towers, S.; Tresilian, N. J.; Tsukamoto, T.; Turner, M.; plas, D. Van den; Kooten, R. Van; VanDalen, G. J.; Vasseur, G.; Vincter, M. G.; Wagner, A.; Wagner, D. L.; Wahl, C.; Ward, C. P.; Ward, D. R.; Ward, J. J.; Watkins, P. M.; Watson, A. T.; Watson, N. K.; Weber, P.; Wells, P. S.; Wermes, N.; Wilkens, B.; Wilson, G. W.; Wilson, J. A.; Winterer, V. H.; Włodek, T.; Wolf, G.; Wotton, S. A.; Wyatt, T. R.; Yaari, R.; Yeaman, A.; Yekutieli, G.; Yurko, M.; Zeuner, W. D.; Zorn, G. T.

doi:10.1007/bf01411011

Cited by 72 publications

(11 citation statements)

References 50 publications

Supporting

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“…For W þ 1, 2-jet production we have confirmed that distributions using SISCONE are within a few percent of those obtained with MCFM using the midpoint cone algorithm [83]. (The midpoint algorithm is infrared-safe at NLO for W þ 1, 2-jet production, but not for W þ 3-jet production [37].)…”

Section: Tevatron Resultssupporting

confidence: 67%

Next-to-leading order QCD predictions forW+3-jet distributions at hadron colliders

et al. 2009

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We present next-to-leading order QCD predictions for a variety of distributions in W þ 3-jet production at both the Tevatron and the Large Hadron Collider. We include all subprocesses and incorporate the decay of the W boson into leptons. Our results are in excellent agreement with existing Tevatron data and provide the first quantitatively precise next-to-leading order predictions for the LHC. We include all terms in an expansion in the number of colors, confirming that the specific leading-color approximation used in our previous study is accurate to within 3%. The dependence of the cross section on renormalization and factorization scales is reduced significantly with respect to a leading-order calculation. We study different dynamical scale choices, and find that the total transverse energy is significantly better than choices used in previous phenomenological studies. We compute the one-loop matrix elements using on-shell methods, as numerically implemented in the BLACKHAT code. The remaining parts of the calculation, including generation of the real-emission contributions and integration over phase space, are handled by the SHERPA package.

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Section: Tevatron Resultssupporting

confidence: 67%

Next-to-leading order QCD predictions forW+3-jet distributions at hadron colliders

et al. 2009

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“…Unlike the factorization scales that we will discuss shortly, µ ⊥ is not introduced to renormalize the fragmentation functions but to define the perturbative (or non-perturbative) part of the dihadron fragmentation functions. It is quite analogous to the cone-size of jet definitions [19].…”

Section: The Parton Modelmentioning

confidence: 93%

Dihadron fragmentation function and its evolution

2004

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Dihadron fragmentation functions and their evolution are studied in the process of e + e − annihilation. Under the collinear factorization approximation and facilitated by the cut-vertex technique, the two hadron inclusive cross section at leading order (LO) is shown to factorize into a short distance parton cross section and a long distance dihadron fragmentation function. We provide the definition of such a dihadron fragmentation function in terms of parton matrix elements and derive its DGLAP evolution equation at leading log. The evolution equation for the non-singlet quark fragmentation function is solved numerically with a simple ansatz for the initial condition and results are presented for cases of physical interest.

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“…In each e v ent, charged tracks and those electromagnetic clusters not associated to charged tracks, were grouped into jets using the jet cone algorithm described in [10] with cone half angle R = 0 : 7 rad and minimum jet energy = 7 : 0 GeV. It was required that the two highest energy jets be in opposite hemispheres, where the hemispheres are dened with respect to the thrust axis calculated using the same tracks and clusters as used in the jet nding.…”

Section: Event Selection and Monte Carlo Simulationmentioning

confidence: 99%