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20142023
most citedGlobal hyperon polarization in nuclear collisions: evidence for the most vortical fluid

920 citations · 5.2k across the 97 of their papers we have counts for

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10 papers · 1 filter

hep-ph2022★ 2 cited

Study of strange quark density fluctuations in Au+Au Collisions at = 7.7-200 GeV from AMPT Model

Junaid Tariq, Sumaira Ikram, M. U. Ashraf

The strangeness production is an important observable to study the QCD phase diagram. The yield ratios of strange quark can be helpful to search for the QCD critical end point (CEP…

hep-ph2022

Effect of hadronic cascade time on freeze-out properties of Identified Hadrons in Au+Au Collisions at = 7.7-39 GeV from AMPT Model

M. U. Ashraf, Junaid Tariq, A. M. Khan

We report the transverse momentum spectra of identified hadrons (, and ) in Au+Au collisions at = 7.7 - 39 GeV from A Multi Phase Tr…

hep-ph2022

Freeze-out Properties of Different Strange Hadrons from {\auau} Collisions at {\sqrtsNN}~= 54.4 GeV

M. U. Ashraf, Junaid Tariq, Sumaira Ikram +1

We analyzed the transverse momentum {\ppt} spectra of different particle species containing strange quark {\ks}, {\lam (\alam)} and {\xim ({\axi})} in different centrality interval…

hep-ph2022

Study of Baryon number transport using model simulations in collisions at LHC Energies

M. U. Ashraf, Junaid Tariq, Sumaira Ikram +3

We report on the excitation function of anti-baryon to baryon ratios (, {\alam /\lam} and {\axi / \xim}) in collisions at {\sqrts} = 0.9, 2.76, 7 TeV from DPMJ…

hep-ph2022★ 149 cited

Pattern of Global Spin Alignment of and mesons in Heavy-Ion Collisions

STAR Collaboration, M. S. Abdallah, B. E. Aboona +379

Notwithstanding decades of progress since Yukawa first developed a description of the force between nucleons in terms of meson exchange, a full understanding of the strong interact…

hep-ph2022

Application of deep learning in top pair and single top quark production at the LHC

Ijaz Ahmed, Anwar Zada, Muhammad Waqas +1

We demonstrate the performance of a very efficient tagger applies on hadronically decaying top quark pairs as signal based on deep neural network algorithms and compares with the Q…