EPJ Web of Conferences
Volume 66, 2014INPC 2013 – International Nuclear Physics Conference
|Number of page(s)||4|
|Section||Hot and Dense Nuclear Matter|
|Published online||20 March 2014|
Long-range rapidity correlations in high energy AA collisions in Monte Carlo model with string fusion
Faculty of Physics, St.Petersburg State University, Ulyanovskaya st. 3, 198504, St.Petersburg, Russia
a e-mail: firstname.lastname@example.org
Published online: 20 March 2014
The magnitude of long-range correlations between observables in two separated rapidity windows, proposed as a signature of the string fusion and percolation phenomenon, is studied in the framework of non-Glauber Monte Carlo string-parton model, based on the picture of elementary collisions of color dipoles. The predictions, obtained with and without string fusion, demonstrate effects of color string fusion on the observables in Pb-Pb collisions at the LHC: decrease of n-n correlation coeffcient with centrality and negative pt-n correlations, if a suffciently effective centrality estimator is applied. In general case it is shown that the values of n-n and pt-n correlation coeffcients strongly depend on the method of collision centrality fixation. In contrast, the predictions obtained for pt-pt correlation have almost no effect of centrality determination method and the corresponding experimental data would produce the strong limitation on the transverse radius of a string.
© Owned by the authors, published by EDP Sciences, 2014
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.