arXiv subjects

Xiao-Jie Li

Publications and source records attributed to Xiao-Jie Li.

2 recordsLinked to original sources

arXiv2024

Closed-Loop Dual-Atom-Interferometer Inertial Sensor with Continuous Cold Atomic Beams

We demonstrate a closed-loop light-pulse atom interferometer inertial sensor that can realize continuous decoupled measurements of acceleration and rotation rate. The sensor operates with double-loop atom interferometers, which share the same Raman light pulses in a spatially separated Mach-Zehnder configuration and use continuous cold atomic beams propagating in opposite directions from two 2D$^+$ magneto-optical trappings. Acceleration and the rotation rate are decoupled and simultaneously measured by the sum and difference of dual atom-interferometer signals, respectively. The sensitivities of inertial measurements are also increased to be approximately 1.86 times higher than that of a single atom interferometer. The acceleration phase shift is compensated in real time by phase-locking these interferometers via the Raman laser phases from the sum interferometer signal, and the gyroscope perfomance is improved. We achieve long-term stabilities of $6.1 \ μg$ and 840 nrad/s for the acceleration and the rotation rate, respectively, using a short interrogation time of 0.87ms (interference area $A=0.097$ mm$^2$). This work provides a building block for an atomic interferometer based inertial measurement unit for use in field applications that require a high data-rate and high stability.

physics.atom-ph↗

arXiv2019

The Impact of Information Dissemination on Vaccination in Multiplex Networks

The impact of information dissemination on epidemic control is essentially subject to individual behaviors. Unlike information-driven behaviors, vaccination is determined by many cost-related factors, whose correlation with the information dissemination should be better understood. To this end, we propose an evolutionary vaccination game model in multiplex networks by integrating an information-epidemic spreading process into the vaccination dynamics, and explore how information dissemination influences vaccination. The spreading process is described by a two-layer coupled susceptible-alert-infected-susceptible (SAIS) model, where the strength coefficient between two layers is defined to characterize the tendency and intensity of information dissemination. We find that information dissemination can increase the epidemic threshold, however, more information transmission cannot promote vaccination. Specifically, increasing information dissemination even leads to a decline of the vaccination equilibrium and raises the final infection density. Moreover, we study the impact of strength coefficient and individual sensitivity on social cost, and unveil the role of information dissemination in controlling the epidemic with numerical simulations.

physics.soc-ph↗