Efficient Numerical Modeling of the Magnetization Loss on a Helically Wound Superconducting Tape in a Ramped Magnetic Field. (arXiv:1911.08170v1 [cond-mat.supr-con])

We investigate theoretically the dependence of magnetization loss of a helically wound superconducting tape on the round core radius $R$ and the helical conductor pitch in a ramped magnetic field. Using the thin-sheet approximation, we identify the two-dimensional equation that describes Faraday’s law of induction on a helical tape surface in the steady state. Based…

Eurasian Cooling Patterns in the CMIP5 Climate Models. (arXiv:1911.08178v1 [physics.ao-ph])

The Arctic has warmed dramatically compared to the global average over the last few decades. During this same period, there have been strong cooling trends observed in the wintertime, near-surface air temperature over central Eurasia, a phenomenon known as Eurasian cooling. Many studies have suggested that the loss of sea ice, especially in the Barents…

Photonic Chern insulators made of gyromagnetic hyperbolic metamaterials. (arXiv:1911.08180v1 [cond-mat.mes-hall])

Controlling light propagation using artificial photonic crystals and electromagnetic metamaterials is an important topic in the vibrant field of photonics. Notably, chiral edge states on the surface or at the interface of photonic Chern insulators can be used to make reflection-free waveguides. Here, by both theoretical analysis and electromagnetic simulations, we demonstrate that gyromagnetic hyperbolic…

Attosecond timing of electron emission from a molecular shape resonance. (arXiv:1911.08181v1 [physics.chem-ph])

Shape resonances in physics and chemistry arise from the spatial confinement of a particle by a potential barrier. In molecular photoionization, these barriers prevent the electron from escaping instantaneously, so that nuclei may have enough time to move and modify the potential, thereby affecting the ionization process. By using an attosecond two-color interferometric approach in…

Forecasts in Schelling’s segregation model. (arXiv:1911.08191v1 [physics.soc-ph])

In Schelling’s segregation model, the successive moves of agents optimizing their own locations lead to a suboptimal segregated distribution of the population, even though all agents have the same preference for mixed neighborhoods. One of the main assumptions underlying this general result of segregation models is that agents rely on comparisons between instantaneous utilities in…

A Multicriteria Macroeconomic Model with Intertemporal Equity and Spatial Spillovers. (arXiv:1911.08247v1 [econ.TH])

We analyze a macroeconomic model with intergenerational equity considerations and spatial spillovers, which gives rise to a multicriteria optimization problem. Intergenerational equity requires to add in the definition of social welfare a long run sustainability criterion to the traditional discounted utilitarian criterion. The spatial structure allows for the possibility of heterogeneiity and spatial diffusion implies…

Infinitesimal generators for two-dimensional L\’evy process-driven hypothesis testing. (arXiv:1911.08412v1 [math.ST])

In this paper, we present the testing of four hypotheses on two streams of observations that are driven by L\’evy processes. This is applicable for sequential decision making on the state of two-sensor systems. In one case, each sensor receives or does not receive a signal obstructed by noise. In another, each sensor receives data-driven…

Artificial intelligence approach to momentum risk-taking. (arXiv:1911.08448v1 [q-fin.RM])

We propose a mathematical model of momentum risk-taking, which is real-time risk management, and discuss its implementation: an automated momentum equity trading system. Risk-taking is one of the key components of general decision-making, a challenge for artificial intelligence and machine learning. We begin with a simple continuous model of news impact and then perform its…

Controlled dynamics and number fluctuations with two strategies for quorum sensing. (arXiv:1911.08115v1 [cond-mat.stat-mech])

Understanding the hierarchical self-organization of living systems is one of the biggest conceptual challenges of the present century. A generically observed mechanism that drives such organization is interaction among the individual elements—which may represent cells, bacteria, or even enzymes—via chemical signals. We use dynamical renormalization group approach to study a stochastic model for chemotactic particles…