Charged particle multiplicity distributions inZ 0 hadronic decays

Abreu, P.; Adam, W.; Adami, F.; Adye, T.; Alexeev, G. D.; Allen, P.; Almehed, S.; Alted, F.; Alvsvaag, S. J.; Amaldi, U.; Anassontzis, E.; Apel, W. D.; Åsman, B.; Astier, P.; Ferreres, C. Astor; Augustin, J. E.; Augustinus, A.; Baillon, P.; Bambade, P.; Barão, F.; Barbiellini, G.; Bardin, D. Y.; Baroncelli, A.; Bärring, O.; Bartl, W.; Bates, M. J.; Baubillier, M.; Becks, K. H.; Beeston, C.; Beillière, P.; Belokopytov, I.; Beltran, P.; Benedic, D.; Benlloch, J.; Berggren, M.; Bertrand, Daniel; Biagi, S.; Bianchi, F.; Bibby, J.H.; Bilenky, M. S.; Billoir, P.; Bjarne, J.; Blöch, D.; Bogolubov, P. N.; Bollini, D.; Bolognese, T.; Bonapart, M.; Booth, P.S.L.; Boratav, M.; Borgeaud, P.; Borner, H.; Bosio, C.; Botner, O.; Bouquet, B.; Bozzo, M.; Braibant, S.; Branchini, P.; Brand, K. D.; Brenner, R.; Bricman, C.; Brown, R.C.A.; Brümmer, N.; Brunet, J. M.; Bugge, L.; Buran, T.; Burmeister, H.; Buytaert, J.; Caccia, M.; Calvi, M.; Rozas, Aurelio Juste; Campagne, J. E.; Campion, A.; Camporesi, T.; Canale, V.; Cao, F.; Carroll, L.; Caso, C.; Castelli, E.; Gimenez, M. V. Castillo; Cattai, A.; Cavallo, F. R.; Cerrito, L.; Charpentier, Ph.; Checchia, P.; Chelkov, G. A.; Chevalier, L.; Chliapnikov, P.; Chorowicz, V.; Cirio, R.; Clara, M.P.; Contreras, J. L.; Contri, R.; Cosme, G.; Couchot, F.; Crawley, H. B.; Crennell, D.; Cresti, M.; Crosetti, G.; Crosland, N.; Crozon, M.; Cuevas, J.; Czellár, S.; Dagoret, S.; Dahl‐Jensen, E.; Dalmagne, B.; Dam, M.; Damgaard, G.; Darbo, G.; Daubie, E.; Dauncey, P. D.; Davenport, M.; David, P.; Angelis, A. De; Beer, M. De; Boeck, H. De; Boer, W. De; Clercq, C. De; Laso, M.D.M. De Fez; Groot, N. De; Vaissière, Ch De La; Lotto, B. De; Min, A. De; Defoix, C.; Delikaris, D.; Delpierre, P.; Demaria, N.; Ciaccio, L. Di; Diddens, A.N.; Dijkstra, H.; Djama, F.; Dolbeau, J.; Doll, O.; Doroba, K.; Dracos, M.; Drees, J.; Dris, M.; Dulinski, W.; Dzhelyadin, R.; Edwards, David; Doll, L O.; Eerola, P.; Ekelöf, T.; Ekspong, G.; Engel, J. P.; Falaleev, V.; Fenyuk, A. B.; Alonso, M. Fernández; Ferrer, A.; Ferroni, S.; Filippas, T. A.; Firestone, A.; Foeth, H.; Fokitis, E.; Fontanelli, F.; Forsbach, H.; Franek, B.; Fransson, K.; Frenkiel, P.; Fries, D. C.; Frodesen, A. G.; Frühwirth, R.; Fulda-Quenzer, F.; Fürstenau, H.; Fuster, J.; Gago, J.; Galeazzi, G.; Gamba, D.; Gasparini, U.; Gavillet, Ph.; Gawne, S.; Gazis, E. N.; Giacomelli, P.; Glitza, K. W.; Gokieli, R.; Golovatyuk, V.; Goobar, A.; Gopal, G. P.; Górski, M.; Gracco, V.; Grant, A.; Grard, F.; Graziani, E.; Gros, M. H.; Grosdidier, G.; Grossetete, B.; Gumenyuk, S.; Guy, J.; Hahn, F.; Hahn, M.; Haider, S.; Hajduk, Z.; Hakansson, A.; Hallgren, A.; Hamacher, K.; Monchenault, G. Hamel de; Harris, F. J.; Heck, B.; Herbst, I.; Hernández, J. J.; Herquet, P.; Herr, H.; Higón, E.; Hilke, H. J.; Hodgson, S. D.; Hofmokl, T.; Holmes, R.; Holmgren, S. O.; Hooper, J. E.; Houlden, M.; Hrubec, J.; Hulth, P. O.; Hultqvist, K.; Husson, D.; Hyams, B.; Ioannou, P.; Ivanyushenkov, I.; Iversen, P. S.; Jackson, J.; Jałocha, P.; Jarlskog, G.; Jarry, P.; Jean‐Marie, B.; Johansson, Erik; Jonker, M.; Jönsson, L.; Juillot, P.; Kadyrov, R.B.; Kalkanis, G.; Kalmus, G.; Kantardjian, G.; Kapusta, F.; Kapusta, P.; Katsanevas, S.; Katsoufis, E.; Keränen, R.; Kesteman, J.; Khomenko, B. A.; King, B. T.; Kjaer, N. J.; Klein, H.; Klempt, W.; Klovning, A.; Kluit, P.; Koehne, J. H.; Koene, B.; Kokkinias, P.; Kopf, M.; Koratzinos, M.; Korcyl, K.; Korytov, A.; Korzen, B.; Kourkoumelis, C.; Kreuzberger, T.; Królikowski, J.; Kruener-Marquis, U.; Krupinski, W.; Kucewicz, W.; Kurvinen, K.; Laakso, Mikko; Lambropoulos, C.; Lämsä, J.; Lancerl, L.; Lapin, V.; Laugier, J. P.; Lauhakangas, R.; Laurikainen, P.; Leder, G.; Ledroit, F.; Lemonne, J.; Lenzen, G.; Lepeltier, V.; Letessier‐Selvon, A.; Lieb, E.; Lillestøl, Egil; Lillethun, E.; Lindgren, J.; Lippi, I.; Llosá, R.; Lokajı́ček, M.; Loken, J.; Aguera, M. A. Lopes; Lopez-Fernandez, A.; Loukas, D.; Lozano, J.; Lucock, R.; Lund‐Jensen, B.; Lutz, P.; Lyons, L.; Mæhlum, G.; Magnussen, N.; Maillard, J.; Maltezos, A.; Mandl, F.; Marco, J.; Marin, J. C.; Μάρκου, Α.; Mathis, L.; Matteuzzi, C.; Matthiae, G.; Mazzucato, M.; McCubbin, M.; McKay, R.; Menichetti, E.; Meroni, C.; Meyer, W. T.; Mitaroff, W.; Mitselmakher, G.; Mjoernmark, U.; Moa, T.; Moeller, R.; Mönig, K.; Monge, M. R.; Morettini, P.; Mueller, H.; Müller, H.; Myatt, G.; Naraghi, F.; Nau-Korzen, U.; Navarria, F. L.; Negri, P.; Nielsen, B. S.; Nikolaenko, V.; Obraztsov, V.; Orava, R.; Ouraou, A.; Pain, R.; Pałka, H.; Papadopoulou, Th. D.; Pape, L.; Passeri, A.; Pegoraro, M.; Perevozchikov, V.; Pernicka, M.; Perrotta, A.; Pimenta, M.; Pingot, O.; Pinori, C.; Pinsent, Andrew; Pol, M. E.; Poliakov, B.; Polok, G.; Poropat, P.; Privitera, P.; Pullia, A.; Pyyhtia, J.; Rademakers, A.; Radojičić, D.; Ragazzi, S.; Range, W.H.; Ratoff, P. N.; Read, K. F.; Redaelli, N.; Regler, M.; Reid, D.; Renton, P.; Resvanis, L. K.; Richard, F.; Řídký, J.; Rinaudo, G.; Roditi, I.; Romero, A.; Ronchese, P.; Rosenberg, E. I.; Rossi, U.; Rosso, E.; Roudeau, P.; Rovelli, T.; Ruhlmann, V.; Ruiz, A.; Saarikko, H.; Sacquin, Y.; Sánchez, E.; Sánchez, J.; Sanchís, E.; Sannino, M.; Schaeffer, M.; Schneider, H.; Scuri, F.; Sebastiá, A.; Segar, A. M.; Sekulin, R.; Sessa, M.; Sette, G.; Seufert, R.; Shellard, R. C.; Siegrist, P.; Simonetti, S.; Simonetto, F.; Sissakian, A.; Skaali, T. B.; Skeens, J.; Skjevling, G.; Smadja, G.; Smith, G. R.; Sosnowski, R.; Spang, Katrine Søborg; Spassoff, T. S.; Spiriti, E.; Squarcia, S.; Staeck, H.; Stănescu, C.; Stavropoulos, G.; Stichelbaut, F.; Stocchi, A.; Strauss, J.; Strub, R.; Stubenrauch, C.; Szczekowski, M.; Szeptycka, M.; Szymański, P.; Tavernier, S.; Tchikilev, O.; Theodosiou, G.; Tilquin, A.; Timmermans, J.; Timofeev, V. G.; Tkatchev, L. G.; Toet, D. Z.; Topphol, A.K.; Tortora, L.; Trainor, M. T.; Treille, D.; Trevisan, U.; Tristram, G.; Troncon, C.; Tsirou, A.; Tsyganov, E. N.; Turała, M.; Turchetta, R.; Turluer, M. L.; Tuuva, T.; Tyapkin, I. A.; Tyndel, M.; Tzamarias, S.; Udo, F.; Ueberschaer, S.; Uvarov, V.; Valenti, G.; Vallazza, E.; Ferrer, J. A. Valls; Apeldoorn, G. W. van; Dam, P. Van; Doninck, W. K. Van; Eijndhoven, N. van; Velde, C. Vander; Varela, J.; Vaz, P.; Vegni, G.; Velasco, J.; Ventura, L.; Vénus, W.; Verbeure, F.; Vertogradov, L. S.; Vibert, L.; Vilanova, D.; Vlasov, E.; Vodopyanov, A.; Vollmer, M.; Voulgaris, G.; Voutilainen, M.; Vrba, V.; Wahlen, H.; Walck, C.; Waldner, F.; Wayne, M.; Wehr, A.; Weilhammer, P.; Werner, John S.; Wetherell, A. M.; Wickens, J.; Wikne, J.; Wilkinson, G.; Williams, W. S. C.; Winter, M.; Wormald, D.; Wormser, G.; Woschnagg, K.; Yamdagni, N.; Yepes, P.; Zaitsev, A.; Zalewska, A.; Zalewski, P.; Zarubin, P. I.; Zevgolatakos, E.; Zhang, G.; Zimin, N. I.; Zitoun, R.; Funchal, R. Zukanovich; Zumerle, G.; Zúñiga, J.

doi:10.1007/bf01474073

Cited by 88 publications

(11 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We tune the parameters of the string fragmentation function in Pythia 8 to a set of sensitive Lep and Slc measurements at the Z-boson peak produced by Aleph [39,44,46,48,56,59,60], Delphi [40,43,61], L3 [42,47,57,62], Opal [45,[63][64][65] and Sld [49,66,67]. Several qualitatively different tunes are made, by including or excluding different data sets (and/or by modifying their weights).…”

Section: Jcap05(2019)007mentioning

confidence: 99%

Estimating QCD uncertainties in Monte Carlo event generators for gamma-ray dark matter searches

Amoroso

Caron

Jueid

et al. 2019

J. Cosmol. Astropart. Phys.

View full text Add to dashboard Cite

Motivated by the recent galactic center gamma-ray excess identified in the Fermi-LAT data, we perform a detailed study of QCD fragmentation uncertainties in the modeling of the energy spectra of gamma-rays from Dark-Matter (DM) annihilation. When Dark-Matter particles annihilate to coloured final states, either directly or via decays such as W ( * ) → qq , photons are produced from a complex sequence of shower, hadronisation and hadron decays. In phenomenological studies their energy spectra are typically computed using Monte Carlo event generators. These results have however intrinsic uncertainties due to the specific model used and the choice of model parameters, which are difficult to asses and which are typically neglected. We derive a new set of hadronisation parameters (tunes) for the Pythia 8.2 Monte Carlo generator from a fit to LEP and SLD data at the Z peak. For the first time we also derive a conservative set of uncertainties on the shower and hadronisation model parameters. Their impact on the gamma-ray energy spectra is evaluated and discussed for a range of DM masses and annihilation channels. The spectra and their uncertainties are also provided in tabulated form for future use. The fragmentation-parameter uncertainties may be useful for collider studies as well.

show abstract

Section: Jcap05(2019)007mentioning

confidence: 99%

Estimating QCD uncertainties in Monte Carlo event generators for gamma-ray dark matter searches

Amoroso

Caron

Jueid

et al. 2019

J. Cosmol. Astropart. Phys.

View full text Add to dashboard Cite

show abstract

“…√ s = 57 GeV from AMY [22], √ s = 91 GeV from DELPHI [23] and √ s = 133, 161, 172, 183 and 189 GeV from OPAL [24,25,26]; pp collisions at √ s = 200, 546 and 900 GeV from UA5 [27,28], and pp collisions at √ s = 0.9, 2.36 and 7 TeV from CMS [20]. For CMS data, the data point at n = 0 is omitted.…”

Section: Fits To Experimental Datamentioning

confidence: 99%

Numerical solutions to Giovannini's parton branching equation up to TeV energies at the LHC

Ong,

Agarwal,

Ang

et al. 2020

Preprint

View full text Add to dashboard Cite

Giovannini's parton branching equation is integrated numerically using the 4 th -order Runge-Kutta method. Using a simple hadronisation model, a charged-hadron multiplicity distribution is obtained. This model is then fitted to various experimental data up to the TeV scale to study how the Giovannini parameters vary with collision energy and type. The model is able to describe hadronic collisions up to the TeV scale and reveals the emergence of gluonic activity as the centre-of-mass energy increases. A prediction is made for √ s = 14 TeV.

show abstract

“…Heretofore, FB multiplicity correlations were studied experimentally in a large number of collision systems including e + e − , µ + p, pp, pp and A-A interactions [3,4,[8][9][10][11][12][13]. No FB multiplicity correlations were observed in e + e − annihilation at √ s = 29 GeV.…”

Section: Jhep05(2015)097mentioning

confidence: 99%

Forward-backward multiplicity correlations in pp collisions at s $$ \sqrt{s} $$ = 0.9, 2.76 and 7 TeV

Adam¹,

Adamová²,

Aggarwal³

et al. 2015

J. High Energ. Phys.

Self Cite

View full text Add to dashboard Cite

The strength of forward-backward (FB) multiplicity correlations is measured by the ALICE detector in proton-proton (pp) collisions at √ s = 0.9, 2.76 and 7 TeV. The measurement is performed in the central pseudorapidity region (|η| < 0.8) for the transverse momentum p T > 0.3 GeV/c. Two separate pseudorapidity windows of width (δη) ranging from 0.2 to 0.8 are chosen symmetrically around η = 0. The multiplicity correlation strength (b corr) is studied as a function of the pseudorapidity gap (η gap) between the two windows as well as the width of these windows. The correlation strength is found to decrease with increasing η gap and shows a non-linear increase with δη. A sizable increase of the correlation strength with the collision energy, which cannot be explained exclusively by the increase of the mean multiplicity inside the windows, is observed. The correlation coefficient is also measured for multiplicities in different configurations of two azimuthal sectors selected within the symmetric FB η-windows. Two different contributions, the short-range (SR) and the long-range (LR), are observed. The energy dependence of b corr is found to be weak for the SR component while it is strong for the LR component. Moreover, the correlation coefficient is studied for particles belonging to various transverse momentum intervals chosen to have the same mean multiplicity. Both SR and LR contributions to b corr are found to increase with p T in this case. Results are compared to PYTHIA and PHOJET event generators and to a string-based phenomenological model. The observed dependencies of b corr add new constraints on phenomenological models.

show abstract

Charged particle multiplicity distributions inZ 0 hadronic decays

Cited by 88 publications

References 39 publications

Estimating QCD uncertainties in Monte Carlo event generators for gamma-ray dark matter searches

Estimating QCD uncertainties in Monte Carlo event generators for gamma-ray dark matter searches

Numerical solutions to Giovannini's parton branching equation up to TeV energies at the LHC

Forward-backward multiplicity correlations in pp collisions at s $$ \sqrt{s} $$ = 0.9, 2.76 and 7 TeV

Contact Info

Product

Resources

About