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0 en fonction de temps pour les collisions Pb-Pb et pour différentes valeurs de k : trait plein (k = 1), ligne en tirets, trait en pointillé (k = 3) [3]. . . . . . . . . . . . 71 III ,
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À droite : quadrant n ? 5 (run 149) 134 VI.11 Simulation de la non-linéarité différentielle du codeur 135 VI.12 Reconstruction des points d'impacts pour tous les événements (en haut) et pour les événements à 1 cluster (en bas). X reco et Y reco sont, p.136 ,
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18 Facteur de modification nucléaire du charme et de la beauté en fonction du moment transverse p T (à gauche) et de la rapidité y (à droite) pour l'approche CGC, p.171 ,
GeV 2 ) en fonction de l'échelle de saturation, p.177 ,
179 VIII.10 Distributions en p T (en haut à gauche) et y (en haut à droite) des gluons pour différentes valeurs de l'échelle de saturation (les codes de couleurs sont identiques pour les deux figures) La figure du bas montre l'évolution de la production de gluons en fonction des échelles de saturations utilisées Q 2 s(1) et Q 2 s(2) pour la modélisation d'une collision p-p, p.180 ,
188 VIII.20 Distribution des multiplicités primaires et reconstruites (en haut) Variation en % entre ces deux distributions, VIII.17 Illustration du partage du signal (hit sharing) entre les pistes adjacentes. . . 186 VIII.18 Signal détecté par le FMD3 (I et O) après élimination du hit sharing. . . . . 187 VIII.19 Différentes composantes du bruit de fond ,
190 VIII.23 Distribution de b sat pour une multiplicité des particules chargés donnée (en haut) Division des événements par classes de multiplicité en fonction de b sat (en bas) ,
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