Topological Comparison Between the Stochastic and the Nearest‐Neighbor Earthquake Declustering Methods Through Network Analysis

On short timescales, earthquakes cluster in both time and space, eventually complicating the analysis of seismicity. One basic goal is to partition the earthquake catalogue into two classes of events — background events, regarded as spontaneous or independent earthquakes, and clustered events, including events triggered by other earthquakes. Read more

The spectral density of dense random networks and the breakdown of the Wigner semicircle law of random matrix theory

The theory of random networks is useful in modelling systems of many interacting units, ranging from neurons in the brain and computers and routers in the Internet to species in an ecosystem. In this theory, a key mathematical quantity is the eigenvalue spectrum of the adjacency matrix, the entries of which reflect the connections between different network elements. Read more

An attempt to explain recent changes in European snowfall extremes

In recent decades, the frequency of extreme snowfall events – often entailing considerable human and economic costs – has remained mostly unchanged, despite consistently rising global temperatures. Read more

Optical Tweezers: A Comprehensive Tutorial from Calibration to Applications

A highly-focused laser beam can be used to trap microscopic particles. In this technique – known as optical tweezers – forces arise near the focal spot due to radiation pressure of the light beam (acting along the beam direction) and gradient forces which pull the particle towards the high-intensity focal spot. Read more

A New Method for Imaging Seismic Quiescence and Its Application to the Mw = 8.3 Kurile Islands Earthquake on 15 November 2006

The seismic quiescence hypothesis asserts that the number of small earthquakes decreases in and around the focal area of a great earthquake near to its time of occurrence. Read more

Model checking for hidden Markov models

Hidden Markov models (HMMs) were first introduced in the late 1960s, and later applied widely in areas including speech recognition, bioinformatics, finance and seismology. Read more

The Echo Index and multistability in input-driven recurrent neural networks

Recurrent neural networks (RNNs) are non-autonomous dynamical systems driven by input, the behaviour of which depend on both model parameters and inputs to the system. Read more

The SAFER geodatabase for the Kathmandu Valley: Geotechnical and geological variability

The Kathmandu Valley — the most developed and populated region in Nepal – is seismically active and has experienced recurring destructive earthquakes. Read more

Nonstationary Background Seismicity Rate and Evolution of Stress Changes in the Changning Salt Mining and Shale-Gas Hydraulic Fracturing Region, Sichuan Basin, China

Many earthquakes have been induced by human activities, including wastewater disposal, geothermal production, gas injection and hydraulic fracturing (HF). Read more

Non-Equilibrium Dynamics and Weakly Broken Integrability

Scientists still lack a fundamental understanding of how and when complex many-body systems out of equilibrium will relax back to thermal equilibrium. Empirically, many systems do relax readily, justifying many of the core approximations of thermodynamics. Read more