38 citations · 78 across the 9 of their papers we have counts for
9 papers
Classification of Compact Stars via Machine Learning and Neural Network Models
D. Neraki, G. Koufetidis, I. Stergakis +2
Recent advances in multimessenger astronomy, particularly through gravitational-wave observations of compact-object mergers, have significantly improved our understanding of dense…
Machine and Deep Learning Regression for Compact Object Equations of State
I. Stergakis, Th. Diakonidis, Ch. C. Moustakidis
A central open problem in nuclear physics is the determination of a physically robust equation of state (EoS) for dense nuclear matter, which directly informs our understanding of…
Calculating multileg one-loop processes. The case of gg -> t bar_t+gg
Theodoros Diakonidis, Bas Tausk
This study is targeted to the NLO corrections of multileg processes, very important for the LHC. Starting from the construction of Feynman diagrams, the analytical reduction of gen…
A recursive approach to the reduction of tensor Feynman integrals
Theodoros Diakonidis, Jochem Fleischer, Tord Riemann +1
We describe a new, convenient, recursive tensor integral reduction scheme for one-loop -point Feynman integrals. The reduction is based on the algebraic Davydychev-Tarasov forma…
A recursive reduction of tensor Feynman integrals
T. Diakonidis, J. Fleischer, T. Riemann +1
We perform a recursive reduction of one-loop -point rank tensor Feynman integrals [in short: -integrals] for with by representing -integral…
Reduction Method for One-loop Tensor 5- and 6-point Integrals Revisited
Theodoros Diakonidis
A complete analytical reduction of general one-loop Feynman integrals with five legs for tensors up to rank R=3 and six legs for tensors up to rank 4 is reviewed. An elegant formal…