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Valeri Vardanyan

Researcher at Leiden University

Publications -  33
Citations -  989

Valeri Vardanyan is an academic researcher from Leiden University. The author has contributed to research in topics: Cosmology & Scalar field. The author has an hindex of 14, co-authored 26 publications receiving 778 citations. Previous affiliations of Valeri Vardanyan include Institute for the Physics and Mathematics of the Universe & Yerevan Physics Institute.

Papers
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The Landscape, the Swampland and the Era of Precision Cosmology

TL;DR: In this article, the advanced version of the KKLT construction is reviewed and the de Sitter state cannot exist in string theory, and the recently proposed alternative string theory models of dark energy, ignoring vacuum stabilization, are ruled out by cosmological observations at least at the 3σ level.
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Dark energy, α-attractors, and large-scale structure surveys

TL;DR: In this paper, a large family of cosmological attractor models with dynamical dark energy, including the cosmology constant Λ as a free parameter, is studied.
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Dark energy, $\alpha$-attractors, and large-scale structure surveys

TL;DR: In this paper, a large family of cosmological attractor models with dynamical dark energy, including the cosmologically constant $\Lambda$ as a free parameter, is studied.
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The landscape, the swampland and the era of precision cosmology

TL;DR: In this article, the authors review the advanced version of the KKLT construction and pure $d=4$ de Sitter supergravity, involving a nilpotent multiplet, with regard to various conjectures that de Sitters state cannot exist in string theory.
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Neutron star merger GW170817 strongly constrains doubly coupled bigravity

TL;DR: In this paper, the authors study the implications of the recent detection of gravitational waves emitted by a pair of merging neutron stars and their electromagnetic counterpart, events GW170817 and GRB1708 17A, on the viability of the doubly coupled bimetric models of cosmic evolution, where the two metrics couple directly to matter through a composite effective metric.