PoS - Proceedings of Science
Volume 380 - Particles and Nuclei International Conference 2021 (PANIC2021) - Hot and dense matter physics - QGP and heavy ion collisions
Strange, charm and bottom hadron flow in pp, pPb and PbPb collisions
R. Pradhan*  on behalf of the CMS Collaboration
Full text: pdf
Pre-published on: March 02, 2022
Published on: May 24, 2022
Abstract
We present the elliptic azimuthal anisotropy coefficient ($v_2$) of the identified strange hadrons, $\mathrm{K_{S}^{0}}$ and $\Lambda$, in pPb and PbPb collisions at 5.02 TeV at mid-rapidity ($\lvert y \rvert <1$), and the heavy-flavor hadrons, D$^0$ and $\mathrm{J/\psi}$, in pPb at 8.16 TeV and high-multiplicity pp at 13 TeV and $\mathrm{\Upsilon(1S)}$ and $\mathrm{\Upsilon(2S)}$, in PbPb collisions at 5.02 TeV. The data samples were collected with the CMS experiment at the LHC. The $v_2$ coefficients of identified strange hadrons were measured using the scalar product and multi-particle cumulant methods as a function of $p_{T}$ for different centralities in PbPb collisions and event multiplicities in pPb collisions and compared with inclusive charged hadrons as well as the hydrodynamic calculations with initial conditions. The $v_2$ coefficients of D$^{0}$ and $\mathrm{J/\psi}$ mesons in pPb collisions are measured using the long-range two-particle correlation technique and compared with the results from color glass condensate (CGC) model. The positive $v_2$ results of D$^0$ and $\mathrm{J/\psi}$ in high multiplicity pp and pPb collisions suggest the collectivity of charm quarks in small system. For the first time, collectivity of b hadrons are studied via non-prompt D$^0$ using long-range two-particle correlation technique and $\mathrm{\Upsilon(1S)}$ and $\mathrm{\Upsilon(2S)}$ mesons using scalar product method. The $v_2$ results for $\mathrm{\Upsilon(1S)}$ meson as a function of $p_{T}$ is compared with theoretical predictions from five different approaches. These measurements provide insights into the origin of the collective phenomena in small and large systems.
DOI: https://doi.org/10.22323/1.380.0262
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