32 citations · 119 across the 33 of their papers we have counts for
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The Mass Gap Approach to QCD. II. The non-perturbative renormalization theory for the massive gluon fields
V. Gogokhia, G. G. Barnafoldi
The previously formulated the mass gap approach to QCD, based on a new insights into its ground state(vacuum), makes it possible to exactly define the dynamically generated gluon p…
Probing the sensitivity of anisotropic flow coefficients to the initial nuclear structure in pO and OO collisions at the LHC
Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Neelkamal Mallick +2
RHIC and LHC have injected nuclei in their accelerator complexes with a focus on investigating collectivity and the origin of quark-gluon plasma signatures in small co…
Speed of sound in Kaluza-Klein Fermi gas
Anna Horváth, Emese Forgács-Dajka, Gergely Gábor Barnaföldi
A five-dimensional Kaluza-Klein spacetime model is considered, with one extra compactified spatial dimension. The equation of state of an electrically neutral, zero-temperature Fer…
A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies
Gergely Gábor Barnaföldi, Neelkamal Mallick, Suraj Prasad +2
We developed a deep learning feed-forward network for estimating elliptic flow () coefficients in heavy-ion collisions from RHIC to LHC energies. The success of our model is m…
Evolution of the hot dense matter at LHC energies through light and heavy-flavor hadrons using non-extensive thermodynamics
László Gyulai, Gábor Bíró, Róbert Vértesi +1
We investigate the formation and evolution of hot systems comprising charmed and light hadrons using non-extensive thermodynamics. We analyze data from pp, p--Pb, and Pb--Pb collis…
Estimating event-by-event multiplicity by a Machine Learning Method for Hadronization Studies
Gábor Bíró, Gábor Papp, Gergely Gábor Barnaföldi
Hadronization is a non-perturbative process, which theoretical description can not be deduced from first principles. Modeling hadron formation requires several assumptions and vari…