Charged particle multiplicities in deep inelastic scattering at HERA

Aïd, S.; Anderson, M.; Andreev, V.; Andrieu, Bernard; Appuhn, R. D.; Babaev, A.; Bähr, J.; Bán, J.; Ban, Y.; Baranov, P.; Barrelet, E.; Barschke, R.; Bartel, W.; Barth, M.; Bassler, U.; Beck, H. P.; Behrend, H. J.; Belousov, A.; Berger, Ch.; Bernardi, G.; Bertrand-Coremans, G.; Besançon, M.; Beyer, R.; Biddulph, P.; Bispham, P.; Bizot, J.C.; Blobel, V.; Borras, K.; Botterweck, F.; Boudry, V.; Braemer, A.; Braunschweig, W.; Brisson, V.; Bruel, P.; Bruncko, D.; Brune, C. R.; Buchholz, R.; Büngener, L.; Bürger, J.; Büsser, F.W.; Buniatian, A.; Bürke, S.; Burton, M. J.; Calvet, D.; Campbell, A. J.; Carli, T.; Charlet, M.; Clarke, D.; Clegg, A.B.; Clerbaux, B.; Cocks, S.; Contreras, J. G.; Cormack, C. M.; Coughlan, J. A.; Courau, A.; Cousinou, M. C.; Cozzika, G.; Criegee, L.; Cussans, D.; Cvach, J.; Dagoret, S.; Dainton, J. B.; Dau, W.D.; Daum, K.; David, M.; Davis, C. L.; Delcourt, B.; Roeck, A. De; Wolf, E. A. De; Dirkmann, M.; Dixon, P.; Nezza, P. 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W.; Henschel, H.; Herynek, I.; Heß, M.; Hewitt, K.; Hildesheim, W.; Hiller, K. H.; Hilton, C.D.; Hladký, J.; Hoeger, K. C.; Höppner, M.; Hoffmann, D.; Holtom, T.; Horisberger, R.; Hudgson, V. L.; Hütte, M.; Ibbotson, M.; Itterbeck, H.; Jachołkowska, A.; Jacobsson, C.; Jaffré, M.; Janoth, J.; Jansen, Thomas L. C.; Jönsson, L.; Johnson, D.P.; Jung, H.; Kalmus, P. I. P.; Kander, M.; Kant, D.; Kaschowitz, R.; Kathage, U.; Katzy, J.; Kaufmann, H. H.; Kaufmann, O.; Kazarian, Shahé S.; Kenyon, I. R.; Kermiche, S.; Keuker, C.; Kiesling, C.; Klein, M.; Kleinwort, C.; Knies, G.; Köhler, Thomas; Köhne, J. H.; Kolanoski, H.; Kole, F.; Kolya, S. D.; Korbel, V.; Korn, M.; Kostka, P.; Kotelnikov, S.K.; Krämerkämper, T.; Krasny, M. W.; Krehbiel, H.; Krücker, D.; Küster, H.; Kuhlen, M.; Kurča, T.; Kurzhöfer, J.; Lacour, D.; Laforge, B.; Lander, R.; Landon, M. P. J.; Lange, W.; Langenegger, U.; Laporte, J. F.; Lebedev, A.; Lehner, F.; Levonian, S.; Lindström, G.; Lindstroem, M.; Link, J. M.; Linsel, F.; Lipiński, J.; List, B.; Lobo, G.; Lomas, J. W.; Lopez, G. C.; Lubimov, V.; Lüke, D.; Magnussen, N.; Malinovski, E.; Mani, S.; Maraček, R.; Marage, P.; Marks, J.; Marshall, R.; Martens, J.; Martin, G.; Martin, R.; Martyn, H. U.; Martyniak, J.; Mavroidis, T.; Maxfield, S. J.; McMahon, S. J.; Mehta, A.; Meier, K.; Meyer, Andreas Bernhard; Meyer, H.; Meyer, J.; Meyer, P.-O.; Migliori, A.; Mikocki, S.; Milstead, D.; Moeck, J.; Moreau, F.; Morris, J. V.; Mroczko, E.; Müller, D.; Müller, G.; Müller, K.; Müller, Manuel; Мурін, П.; Nagovizin, V.; Nahnhauer, R.; Naroska, B.; Naumann, T.; Négri, I.; Newman, P. R.; Newton, D.; Nguyen, H. K.; Nicholls, T. C.; Niebergall, F.; Niebuhr, C.; Niedzballa, Ch.; Niggli, H.; Nisius, R.; Nowak, G.; Noyes, G. W.; Nyberg-Werther, M.; Oakden, M.; Oberlack, H.; Olsson, J. E.; Ozerov, D.; Palmen, P.; Panaro, E.; Panitch, A.; Pascaud, C.; Patel, G. D.; Pawletta, H.; Peppel, E.; Perez, E.; Phillips, J. P.; Pieuchot, A.; Pitzl, D.; Pope, G.; Prell, S.; Rabbertz, K.; Rädel, G.; Reimer, P.; Reinshagen, S.; Rick, H.; Riech, V.; Riedlberger, J.; Riepenhausen, F.; Rieß, S.; Rizvi, E.; Robertson, S.; Robmann, P.; Roloff, H. E.; Roosen, R.; Rosenbauer, K.; Rostovtsev, A.; Rouse, F.; Royon, C.; Rüter, K.; Rusakov, S. V.; Rybicki, K.; Sankey, D. P. C.; Schacht, P.; Schiek, S.; Schleif, S.; Schleper, P.; Schlippe, W. von; Schmidt, D.; Schmidt, G.; Schöning, A.; Schröder, V.; Schuhmann, E.; Schwab, B.; Sefkow, F.; Seidel, M.; Sell, Raivo; Semenov, A.; Shekelyan, V.; Sheviakov, I.; Shtarkov, L. N.; Siegmon, G.; Siewert, U.; Sirois, Y.; Skillicorn, I. O.; Smirnov, P.; Smith, J. R.; Solochenko, V.; Soloviev, Y.; Specka, A.; Spiekermann, J.; Spielman, S.; Spitzer, H.; Squinabol, F.; Steenbock, M.; Steffen, P.; Steinberg, R.; Steiner, H.; Steinhart, J.; Stella, B.; Stellberger, A.; Stier, J.; Stiewe, J.; Stößlein, U.; Stolze, K.; Straumann, U.; Struczinski, W.; Sutton, J. P.; Tapprogge, S.; Taševský, M.; Tchernyshov, V.; Tchetchelnitski, S.; Theissen, J.; Thiebaux, Ch; Thompson, G.; Truöl, P.; Tsipolitis, G.; Turnau, J.; Tutas, J.; Uelkes, P.; Usik, A.; Valkár, Š.; Valkárová, A.; Vallée, C.; Vandenplas, D.; Esch, Patrick van; Mechelen, P. Van; Vazdik, Y.; Verrecchia, P.; Villet, G.; Wacker, K.; Wagener, Aurélie; Wagener, M.; Walther, A.; Waugh, Benedict Martin; Weber, G.; Weber, M.; Wegener, D.; Wegner, A.; Wengler, T.; Werner, M.; West, L.R.; Wilksen, T.; Willard, S.; Winde, M.; Winter, G. G.; Wittek, C.; Wobisch, M.; Wünsch, E.; Žáček, J.; Zarbock, D.; Zhang, Z.; Zhokin, A.; Zini, P.; Zomer, F.; Zsembery, J.; Zuber, Κ.; zurNedden, M.

doi:10.1007/s002880050280

Cited by 42 publications

(39 citation statements)

References 69 publications

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“…The success of the k = 1 special case of the HNBD (even with omitted systematic errors of P n ) suggests that the inelastic pp and deep-inelastic e + p multiplicity distributions are similarly shaped. This seems to be confirmed by the observation [15] that the H1 data and the best-fit NBD deviate from each other at small multiplicities. Due to the diffractive fraction of events, the same happens for inelastic pp data too.…”

Section: (3) One Obtainssupporting

confidence: 67%

“…In ref. [8] the multiplicity distributions measured by the H1 Collaboration [15] were compared to the Weibull case of the HNBD neglecting systematic errors of P n . To avoid possible misunderstanding we repeated the analysis with the inclusion of both sources of experimental uncertainties.…”

Section: (3) One Obtainsmentioning

confidence: 99%

“…The last row corresponds to the inelastic pp data of the UA5 Collaboration. Results of HNBD fits (Weibull case, k = 1) to the deep-inelastic e + p multiplicity data of the H1 Collaboration[15]. The average multiplicity n was fixed at its experimental value./d.o.f.…”

mentioning

confidence: 99%

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H-function extension of the NBD in the light of experimental data

Hegyi

1997

Physics Letters B

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Section: (3) One Obtainssupporting

confidence: 67%

Section: (3) One Obtainsmentioning

confidence: 99%

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H-function extension of the NBD in the light of experimental data

Hegyi

1997

Physics Letters B

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“…1). Furthermore, a name for the "instanton particle" is set by QIPARC (1) T Use weight due to instanton cross section QICONT(4) T Disregard instanton minimum mass requirement QICONT (5) T Generate Q ′2 before x ′ QICONT (6) T Enforce mass of current quark in kinematics QICONT (9) T Enforce maximum allowed number of gluons QICONT (11) T Check that energy suffices for gluon generation QICONT (13) T Kill events with mass too high QICONT (14) T Use z generation as dz/z QICONT (15) T Generate x ′ with efficiency parametrization QICONT (16) T Generate Q ′2 with efficiency parametrization QICONT (18) T Use HERWIG rather than JETSET hadronization QICONT (20) T Azimuthal angle of e ′ generated randomly QICONT (21) T Full hadronization on/off QIWARF(1) F Q ′2 upper generation limit reset QIWARF(2) F Q ′2 lower generation limit reset QIWARF(3) F x ′ upper generation limit reset QIWARF(4) F x ′ lower generation limit reset QIWARF (5) F Attempt to (re)set non-existent logical parameter (QISETF) QIWARF (6) F Attempt to read non-existent logical parameter (QIGETF) QIWARF (7) F Attempt to (re)set non-existent integer parameter (QISETI) QIWARF (8) F Attempt to read non-existent integer parameter (QIGETI) QIWARF(9) F Attempt to (re)set non-existent double precision parameter (QISETD) QIWARF(10) F Attempt to read non-existent double precision parameter (QIGETD) QIWARF (11) F Current quark mass requirement does not fit to the selected order of variable generation (c. f. QICONT(5)) QIWARF (12) F Negative k 2 T for current quark, reset to 0.0 QIWARF (14) F Too many iterations in QIGMUL QIRCAL T Check kinematical limits Table 5 Logical flags set in QIINIT (T = .TRUE., F = .FALSE. ).…”

Section: Procedurementioning

confidence: 99%

“…Earlier versions of QCDINS have been used already to establish first experimental bounds on the rate of instanton-induced events at HERA [11][12][13] and to develop instanton search strategies [7].…”

Section: Long Write-up 1 Introductionmentioning

confidence: 99%

QCDINS 2.0 – A Monte Carlo generator for instanton-induced processes in deep-inelastic scattering

Ringwald

Schrempp

2000

Computer Physics Communications

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We describe a Monte Carlo event generator for the simulation of QCD-instanton induced processes in deep-inelastic scattering (HERA). The QCDINS package is designed as an "add-on" hard process generator interfaced to the general hadronic event simulation package HERWIG. It incorporates the theoretically predicted production rate for instanton-induced events as well as the essential characteristics that have been derived theoretically for the partonic final state of instanton-induced processes: notably, the flavour democratic and isotropic production of the partonic final state, energy weight factors different for gluons and quarks, and a high average multiplicity O(10) of produced partons with a Poisson distribution of the gluon multiplicity. While the subsequent perturbative evolution of the generated partons is always handled by the HERWIG package, the final hadronization step may optionally be performed also by means of the general hadronic event simulation package JETSET. Keywords: QCD; Instanton; Deep-inelastic scattering; Monte Carlo simulation Nature of physical problemInstantons are a basic aspect of Quantum Chromodynamics. Being non-perturbative fluctuations of the gauge fields, they induce hard processes absent in conventional perturbation theory. Deep-inelastic lepton-nucleon scattering at HERA offers a unique possible discovery window for such processes induced by QCD-instantons through their characteristic final-state signature and a sizable rate, calculable within instanton-perturbation theory. An experimental discovery of such a novel, nonperturbative manifestation of non-abelian gauge theories would be of fundamental significance. However, instanton-induced events are expected to make up only a small fraction of all deep-inelastic events. Therefore, a detailed knowledge of the resulting hadronic final state, along with a multi-observable analysis of experimental data by means of Monte Carlo techniques, is necessary. Method of solutionThe QCDINS package is designed as an "add-on" hard process generator interfaced to the general hadronic event simulation package HERWIG. It incorporates the theoretically predicted production rate for instanton-induced events as well as the 2 essential characteristics that have been derived theoretically for the partonic final state of instanton-induced processes: notably, the flavour democratic and isotropic production of the partonic final state, energy weight factors different for gluons and quarks, and a high average multiplicity O(10) of produced partons with a Poisson distribution of the gluon multiplicity. While the subsequent perturbative evolution of the generated partons is always handled by the HERWIG package, the final hadronization step may optionally be performed also by means of the general hadronic event simulation package JETSET. Restrictions on the complexity of the problemThe default values of the implemented kinematical cuts represent the state of the art limits for the reliability of the generated instanton-induced event rate and event top...

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The Structure Functions F2 c , F L and F L c in the Framework of the k T Factorization

Kotikov

Lipatov²,

Parente

et al. 2004

Heavy Quark Physics

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We present the perturbative parts of the structure functions F c 2 and F c L for a gluon target having nonzero transverse momentum squared at order αs. The results of the double convolution (with respect to the Bjorken variable x and the transverse momentum) of the perturbative part and the unintegrated gluon densities are compared with HERA experimental data for F c 2 and FL at low x values and with predictions of other approaches. The contribution from F c L structure function ranges 10 ÷ 30% of that of F c 2 at the HERA kinematical range.The Structure Functions F c 2 , FL and F c L 13

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Charged particle multiplicities in deep inelastic scattering at HERA

Cited by 42 publications

References 69 publications

H-function extension of the NBD in the light of experimental data

H-function extension of the NBD in the light of experimental data

QCDINS 2.0 – A Monte Carlo generator for instanton-induced processes in deep-inelastic scattering

The Structure Functions F2 c , F L and F L c in the Framework of the k T Factorization

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