activity
20032023
most citedElectron-positron pairs in physics and astrophysics: from heavy nuclei to black holes

491 citations · 1.4k across the 55 of their papers we have counts for

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Showing 2006 · astro-phShow all

6 papers · 2 filters

astro-ph2006

On intrinsic symmetry in Gurzadyan-Xue cosmological models

H. Khachatryan, G. V. Vereshchagin, G. Yegorian

Analysis of cosmological solutions of GX dark energy models shows the presence of a separatrix in the phase space of solutions which divides them into two classes: Friedmannian-lik…

astro-ph2006★ 4 cited

Dynamics of perturbations in Gurzadyan-Xue cosmological models

G. V. Vereshchagin, G. Yegorian

Perturbation theory within Newtonian approximation is presented for cosmological models with varying physical constants. Analytical solutions for perturbations dynamics are obtaine…

astro-ph2006

Baryonic loading and e^+e^- rate equation in GRB sources

Remo Ruffini, Carlo Luciano Bianco, Gregory Vereshchagin +1

The expansion of the electron-positron plasma in the GRB phenomenon is compared and contrasted in the treatments of Meszaros, Laguna and Rees, of Shemi, Piran and Narayan, and of R…

astro-ph2006

Supernovae and Radio Galaxies Probing Gurzadyan-Xue Cosmological Models with Dark Energy

G. V. Vereshchagin, G. Yegorian

In the previous papers we derived cosmological equations for models with Gurzadyan-Xue dark energy, have performed their qualitative analysis and, particularly, have revealed a rem…

astro-ph2006★ 13 cited

Hidden invariance in Gurzadyan-Xue cosmological models

G. V. Vereshchagin, G. Yegorian

The dark energy formula derived by Gurzadyan and Xue which leads to a value fitting the SN data, provides a scaling relation between the physical constants and cosmological paramet…

astro-ph2006★ 16 cited

Cosmological models with Gurzadyan-Xue dark energy

G. V. Vereshchagin, G. Yegorian

The formula for dark energy density derived by Gurzadyan and Xue provides a value of density parameter of dark energy in remarkable agreement with current cosmological datasets, un…