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Proton-proton collisions at new high energies ($\sqrt {s} =$ 2.36 and 7 TeV)at LHC resulted into greater mean multiplicities ($<n>$) of charged particlesin the mid-rapidity region than estimated ones by different models and eventgenerators. Another significant observation in multiplicity data is the changein slope in the distribution of primary charged hadrons in symmetricpseudorapidity interval $|\eta|<$2.4. The change is most prominent with data at$\sqrt{s} = 7$ TeV. These new observations merit further studies. We consider atwo-component model of particle production to analyze multiplicitydistributions of charged hadrons from proton-proton collisions atcentre-of-mass energies $\sqrt{s} = $ 0.9, 2.36 and 7 TeV in symmetricpseudorapidity intervals $|\eta|$ of increasing width around the centre-of-masspseudorapidity $\eta_{cm} = 0$. The model, based on quantum statistical (QS)formalism, describes multiplicity distribution by convolution of a NegativeBinomial Distribution (NBD), representing a chaotic component, and a PoissonDistribution (PD), representing a coherent component of particle productions.The behaviour of characteristic parameters of the model is followed by the LHCdata, while a scaling law, involving information entropy in quantum statisticalviewpoint and derived as a function of chaotic multiplicity obtained from thetwo-component model, is not obeyed by the data, satisfactorily. An attempt tomatch the measured multiplicity distributions and suggested convolutions withvalues of characteristic parameters extracted from the data confirmsdisagreement between the data and the model.

physics letters b

Two-component model in quantum statistical framework compared with  multiplicity distributions in proton-proton collisions at energies up to  $\sqrt {s}$ = 7 TeV