Density saturation and the decrease of the normalised width of the multiplicity distribution in high energy pp collisions

2005

Eur. Phys. J. C

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Abstract. A brief review to string and parton percolation is presented. After a short introduction, the main consequences of percolation of color sources on the following observables in A-A collisions: J/ψ suppression, saturation of the multiplicity, dependence on the centrality of the transverse momentum fluctuations, Cronin effect and transverse momentum distributions, strength of the two and three body Bose-Einstein correlations and forward-backward multiplicity correlations, are presented. The behaviour of all of them can be naturally explained by the clustering of color sources and the dependence of the fluctuations of the number of these clusters on the density.PACS. 2 5.75. 12.38.Mh, 24.85.+p

Section: Resultsmentioning

confidence: 57%

String and parton percolation

2005

Eur. Phys. J. C

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“…Experimentally, in pp collisions k is decreasing from SPS up to 2.36 TeV. We expect a change on this behavior at an energy close to 7 TeV [20].…”

Section: String Percolation and Color Glass Condensatementioning

confidence: 76%

Long range correlations, event simulation and parton percolation

2011

Nuclear Physics A

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We study the RHIC data on long range rapidity correlations, comparing their main trends with different string model simulations. Particular attention is paid to color percolation model and its similarities with color glass condensate. As both approaches corresponds, at high density, to a similar physical picture, both of them give rise to a similar behavior on the energy and the centrality of the main observables. Color percolation explains the transition from low density to high density.

“…Such possibility, ( 18) and ( 19), was previously discussed in [17] with a somewhat different definition for K. See also the work of [18]. An important consequence of ( 17) and ( 19), if one assumes that the effective strings in the high density limit emit particles as independent sources, is that K 1 for the single effective string is given by…”

mentioning

confidence: 98%

“…This curve shows a minimum at η ≃ 1.2. As the number of strings as a function of energy can be estimated from particle density, (1), and η can be constructed as a function of √ s (see [17]), in the pp case the minimum of (20), is not reached yet, as it corresponds to an energy of the order of 3-4 TeV. The rule to go from η pp to η AA is:…”

mentioning

confidence: 99%

String percolation and the Glasma

Deus¹,

2011

Physics Letters B

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We compare string percolation phenomenology to Glasma results on particle rapidity densities, effective string or flux tube intrinsic correlations, the ridge phenomena and long range forward-backward correlations. Effective strings may be a tool to extend the Glasma to the low density QCD regime. A good example is given by the minimum of the negative binomial distribution parameter k expected to occur at low energy/centrality.