Heavy-ion collisions at ultrarelativistic energies provide extreme conditions of energy density and temperature to produce a deconfined state quarks gluons. Xenon (Xe), being deformed nucleus, further gives access the effect initial geometry on final particle production. This study focuses nuclear deformation hadron cascade-time production elliptic flow using multiphase transport (AMPT) model i...

Machine Learning (ML) techniques have been employed for the high energy physics (HEP) community since early 80s to deal with a broad spectrum of problems. This work explores prospects using Deep estimate elliptic flow ($v_2$) in heavy-ion collisions at RHIC and LHC energies. A novel method is developed process input observables from particle kinematic information. The proposed DNN model trained...

In high-energy heavy-ion collisions, structures in the initial collision zone are a matter of intense investigation, both from theory and experimental points views. A large number models have been developed to represent state including Glauber model color glass condensate (CGC), among others. Another important aspect study is investigate proper observables that will be sensitive zone. this work...

Abstract The pore air pressure of the soil layer has an obstructive effect on infiltration rainfall-induced landslide. Therefore, hydraulic hysteresis caused by entrapment in process slope also reduces anti-sliding force slope. A method considered closed gas particles’ pores is developed to study time-delay and stability during rainfall. Green–Ampt model used obtain explicit analytical solution...

In this study, we systematically investigate deformed Xe–Xe collisions at 5.44 TeV center of mass energy. We exploit Monte Carlo HYDJET++ model to compute transverse momentum ( $$p_{T}$$ ) distribution, nuclear modification factor $$R_{AA}$$ and relative suppression in terms $$R_{CP}$$ as a function centrality collision charged hadrons body–body tip–tip geometrical configurations, respectively....