2015
DOI: 10.1016/j.physrep.2015.09.003
|View full text |Cite
|
Sign up to set email alerts
|

De-confinement and clustering of color sources in nuclear collisions

Abstract: A brief introduction of the relationship of string percolation to the Quantum Chromo Dynamics (QCD) phase diagram is presented. The behavior of the Polyakov loop close to the critical temperature is studied in terms of the color fields inside the clusters of overlapping strings, which are produced in high energy hadronic collisions. The non-Abelian nature of the color fields implies an enhancement of the transverse momentum and a suppression of the multiplicities relative to the non overlapping case. The predi… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

3
91
0
1

Year Published

2015
2015
2024
2024

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 74 publications
(144 citation statements)
references
References 239 publications
(356 reference statements)
3
91
0
1
Order By: Relevance
“…In this scenario of the QGP study, an unexpected feature, namely the "ridge" in the long range near side angular correlation, in distinct class of "high multiplicity" events of proton-proton collisions [10] at √ s = 7 TeV at LHC has triggered revival of an old school of thought [11][12][13][14] of the possibility of formation of a collective medium in pp collisions also. Several of subsequent theoretical and phenomenological studies [15][16][17][18][19][20][21][22][23], in different approaches, endorse the possibility, indicating the need for further investigations in understanding the high-multiplicity pp events vis-a-vis the QGP.In this article, we address the issue of collectivity in high multiplicity pp events in the framework of the String Percolation Model, that has successfully explained the collectivity and the change of phase in nucleus-nucleus collisions [24][25][26]. Also SPM describes the centre-of-mass energy dependence of mid-rapidity multiplicity [25] and the pseudorapidity distributions [26] of produced charged particles in pp collisions, for the entire range of energy, available so far.…”
mentioning
confidence: 99%
See 4 more Smart Citations
“…In this scenario of the QGP study, an unexpected feature, namely the "ridge" in the long range near side angular correlation, in distinct class of "high multiplicity" events of proton-proton collisions [10] at √ s = 7 TeV at LHC has triggered revival of an old school of thought [11][12][13][14] of the possibility of formation of a collective medium in pp collisions also. Several of subsequent theoretical and phenomenological studies [15][16][17][18][19][20][21][22][23], in different approaches, endorse the possibility, indicating the need for further investigations in understanding the high-multiplicity pp events vis-a-vis the QGP.In this article, we address the issue of collectivity in high multiplicity pp events in the framework of the String Percolation Model, that has successfully explained the collectivity and the change of phase in nucleus-nucleus collisions [24][25][26]. Also SPM describes the centre-of-mass energy dependence of mid-rapidity multiplicity [25] and the pseudorapidity distributions [26] of produced charged particles in pp collisions, for the entire range of energy, available so far.…”
mentioning
confidence: 99%
“…The cluster of percolated color strings is considered to be equivalent to the de-confined partonic state of matter [24]. In fact, there has been considerable progress in the SPM in establishing connection [24] between the percolation phase transition of color strings and the QCD phase transition in heavy-ion collisions.One of the cardinal parameters in SPM is the transverse impact parameter density of strings, ζ t . For pp collisions, [24] one can write ζ t ≡ ( r0 Rp ) 2N s where r 0 is ≃ 0.25 fm the single string transverse size, R p ≃ 1 fm is the proton transverse size andN s is the average number of single strings.…”
mentioning
confidence: 99%
See 3 more Smart Citations