Speaker
Zuzana Moravcová
(CTU FNSPE)
Description
Measurements of open heavy flavour mesons can be used to study the proprieties of the, so called, quark-gluon plasma produced in heavy-ion (A+A) collisions. The STAR collaboration searches for differences in particle production between the A+A and p+p collisions via the nuclear modification factor. In the low-pt region, ${\rm D^{\pm}}$ mesons cannot be directly reconstructed with traditional methods due to the high combinatorial background in A+A collisions. Therefore, machine learning methods in multivariate data analysis are used to discriminate between signal and background thanks to the TMVA package implemented within the ROOT framework.
Primary author
Zuzana Moravcová
(CTU FNSPE)
