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Additional info for Correlations in Charged-Particle Multiplicity Distribution [thesis]

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0015. As systematic uncertainty, we take half of the difference between the multiplicity distributions obtained using the larger and the smaller values of ǫb . The influence of the change in the value of other hadronization parameters such as the strangeness suppression were found to be negligible. The two contributions from the modeling are added in quadrature. While the contribution of ǫb is small for the full sample and negligible for the light-quark sample, it is the largest theoretical contribution for the charged-particle multiplicity distribution of the b-quark sample.

One track corresponding to the real track of the charged particle, the other, the mirror track, symmetric with respect to the wire of the track of the charged particle. Since the agreement between the data and the Monte Carlo simulation is rather poor for the distribution of the number of TEC hits (Fig. 5: Distribution of track transverse momenta for the data (dots) and for the Monte-Carlo (line). Carlo is stable and no big change from bin to bin in this disagreement is expected. Therefore, the number of hits in the TEC is required to be at least 25.

By the use of a probability matrix. 4 PS generator, we build the matrix k(nK0 , nnoK0 ) which represents the number of events which have nK0 charged particles in the case that K0s and Λ decay products are included and nnoK0 charged particles in the case that they are not. The probability matrix is then obtained by normalizing k(nK0 , nno K0 ) by the distribution of the number of events having nnoK0 charged particles, assuming stable K0s and Λ, N MC (nnoK0 ), K(nK0 , nnoK0 ) = k(nK0 , nnoK0 ) . 23) Since the process involved is far more simple than the detector response, and due to the fact that we can use as much statistics as we want, we do not need to use the iterative procedure described previously.

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Correlations in Charged-Particle Multiplicity Distribution [thesis] by D. Mangeol

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