output
20062025
most citedTheory of Earthquake Recurrence Times

119 citations

49 papers

astro-ph.HE2025★ 1 cited

Constraints on the diffuse flux of multi-PeV astrophysical neutrinos obtained with the Baikal Gigaton Volume Detector

V. A. Allakhverdyan, A. D. Avrorin, A. V. Avrorin +69

Various theoretical models predict cosmic neutrinos with multi-PeV energies. The recent detection of a ~10^17 eV neutrino in the KM3NeT experiment suggests that these energetic par…

quant-ph2024★ 20 cited

Observation of thermal microwave photons with a Josephson junction detector

A. L. Pankratov, A. V. Gordeeva, A. V. Chiginev +4

When measuring electromagnetic radiation of frequency , the most sensitive detector is the one that counts the single quanta of energy . Single photon detectors (SPDs) were…

math.AP2024

On the extinction of multiple shocks in scalar viscous conservation laws

Jeanne Lin, Dmitry E. Pelinovsky, Bjorn de Rijk

We are interested in the dynamics of interfaces, or zeros, of shock waves in general scalar viscous conservation laws with a locally Lipschitz continuous flux function, such as the…

nlin.PS2024★ 3 cited

Extended generalized recurrence plot quantification of complex circular patterns

Maik Riedl, Norbert Marwan, Jürgen Kurths

The generalized recurrence plot is a modern tool for quantification of complex spatial patterns. Its application spans the analysis of trabecular bone structures, Turing patterns,…

astro-ph.HE2023★ 73 cited

A Shock Flash Breaking Out of a Dusty Red Supergiant

Gaici Li, Maokai Hu, Wenxiong Li +41

Shock breakout emission is light that arises when a shockwave, generated by core-collapse explosion of a massive star, passes through its outer envelope. Hitherto, the earliest det…

physics.optics2023★ 6 cited

Identifying topology of leaky photonic lattices with machine learning

Ekaterina O. Smolina, Lev A. Smirnov, Daniel Leykam +2

We show how machine learning techniques can be applied for the classification of topological phases in leaky photonic lattices using limited measurement data. We propose an approac…