Speaker
Rajeev Bhalerao
(TIFR)
Description
We extend the recently presented Principal Component Analysis (PCA)
method to reduce the nonflow effects present in the two-particle
correlation data. We illustrate this technique by applying it to
simulated pseudorapidity correlation data obtained with A Multi-Phase
Transport (AMPT) model for Pb-Pb collisions at the LHC energy 2.76 TeV.
Measurable subleading modes are seen in the
elliptic and triangular flows as a function of pseudorapidity.
Although we show here only two-particle correlation results, the technique is
applicable to also multi-particle correlations.
Primary author
Rajeev Bhalerao
(TIFR)
Co-authors
Jean-Yves Ollitrault
(CNRS)
Subrata Pal
(Tata Institute of Fundamental Research, Mumbai, India)
