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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…
hep-ph2022★ 1 cited
A Comprehensive Study of Energy Dependence of Particle Ratios in Collisions from SPS to LHC Energies
A. M. Khan, M. U. Ashraf, Junaid Tariq +2
A comprehensive study has been performed to estimate the kaon to pion (/) yield ratio and total kaon to total pion (/) yield ratio as a function of centre of ma…