Monte Carlo Hamiltonian: Inverse Potential

The Monte Carlo Hamiltonian method developed recently allows to investigate ground state and low-lying excited states of a quantum system, using Monte Carlo algorithm with importance sampling. However, conventional MC algorithm has some difficulties when applying to inverse potentials. We propose to use effective potential and extrapolation method to solve the problem. We present examples from the hydrogen system.Comment: To appear in Communications in Theoretical Physic

Doping dependence of heat transport in the iron-arsenide superconductor Ba(Fe1−x_{1-x}Cox_x)2_2As2_2: from isotropic to strongly kk-dependent gap structure

The temperature and magnetic field dependence of the in-plane thermal conductivity $\kappa$ of the iron-arsenide superconductor Ba(Fe$_{1-x}$Co$_x$)$_2$As$_2$ was measured down to $T \simeq 50$ mK and up to $H = 15$ T as a function of Co concentration $x$ in the range 0.048 $\leq x \leq$ 0.114. In zero magnetic field, a negligible residual linear term in $\kappa/T$ as $T \to 0$ at all $x$ shows that there are no zero-energy quasiparticles and hence the superconducting gap has no nodes in the $ab$-plane anywhere in the phase diagram. However, the field dependence of $\kappa$ reveals a systematic evolution of the superconducting gap with doping $x$, from large everywhere on the Fermi surface in the underdoped regime, as evidenced by a flat $\kappa (H)$ at $T \to 0$, to strongly $k$-dependent in the overdoped regime, where a small magnetic field can induce a large residual linear term, indicative of a deep minimum in the gap magnitude somewhere on the Fermi surface. This shows that the superconducting gap structure has a strongly $k$-dependent amplitude around the Fermi surface only outside the antiferromagnetic/orthorhombic phase.Comment: version accepted for publication in Physical Review Letters; new title, minor revision, revised fig.1, and updated reference

Source Mechanism and Rupture Directivity of the 18 May 2009 M_W 4.6 Inglewood, California, Earthquake

On 18 May 2009, an M_w 4.6 earthquake occurred beneath Inglewood, California, and was widely felt. Though source mechanism and its location suggest that the Newport–Inglewood fault (NIF) may be involved in generating the earthquake, rupture directivity must be modeled to establish the connection between the fault and the earthquake. We first invert for the event’s source mechanism and depth with the cut-and-paste method in the long-period band (>5 s). Because of the low velocity shallow sediments in the Los Angeles (LA) basin, we use two velocity models in the inversion for stations inside and outside the LA basin. However, little difference is observed in the resolved source mechanism (M_w 4.6, strike 246°/145°, dip 50°/77°, rake 17°/138°) and depth (7 to ~9 km), compared to an inversion using the standard southern Calfornia model. With the resolved source parameters, we calibrate the amplitude anomaly of the short-period (0.5–2 Hz) P waves with amplitude adjustment factors (AAF). These AAFs are used as corrections when retrieving source mechanisms of the smaller aftershocks using short-period P waves alone. Most of the aftershocks show similar source mechanisms as that of the mainshock, providing ideal empirical Green’s functions (EGFs) for studying its rupture process. We use a forward modeling approach to retrieve rupture directivity of the mainshock, consistent with movement on the NIF with rupture toward the southeast. Although we focus on P waves for analyzing rupture directivity, the resolved unilateral pattern is also confirmed with the azimuthal variation of the duration of SH waves observed in the basin. The high rupture velocity near the shear velocity and relatively low stress drop are consistent with the hypothesis of rupture on a mature fault

Power quality disturbance detection based on mathematical morphology and fractal technique

Based on mathematical morphology and grille fractal, a novel approach on power quality disturbance detection and location is presented in this paper. At first a parallel composite morphological filter with multiple-structure elements is designed to filter the random noise and impulse noise in power quality disturbance signals. Then to the filtered curves, an easy implementation criterion for singularity detection based on the change regularity of grille fractal is proposed to locate the start and end time that disturbance occurs. The voltage sag, swell, harmonic and their combined disturbances are used to verify the validity of the proposed filter-location approach. Numerical results show that the proposed approach is valid and effective. © 2005 IEEE.published_or_final_versio

Analysis of RFID adoption in China

Radio-frequency identification (RFID) is an emerging technology for automatic data capturing, enabling real time information visibility. It promises great potentials in many industries to improve logistics operational efficiency, to help reduce inventory, and to automate asset/item track and trace, etc. The RFID adoption in China is a highly concerned topic as China has become a world manufacturing center. In this paper, we have presented an overview for China's current RFID adoption status. Based on Rogers's DOI theory, a methodology is developed for analyzing RFID adoption in China. With this methodology, China's RFID adoption status is identified, and ways to speed up the rate of adoption are also suggested. © 2007 IEEE.published_or_final_versio

Value Analysis Framework for RFID Technology Adoption in Retailers in China

Recently, RFID has emerged to be a promising technology to revolutionize the supply chain and logistics management. Currently there exists a sharp contrast between retailers in China and their counterparts in the United States with respect for RFID adoption. In the United States, big retailers like Wal-Mart are actively pursuing RFID by issuing mandates to their suppliers worldwide for RFID adoption. However, retailers in China never enjoy such a dominating role in pursuing RFID. To explore what is behind this phenomenon, in this paper, an analysis framework is proposed to develop decision support tools for RFID technology adoption analysis in retailers in China. The framework is realized in a service platform developed based on three principles to help reach mutual understanding between RFID vendors and customers in RFID technology adoption analysis. The framework is illustrated and validated through an example to demonstrate its feasibility to help to analyze the adoption of RFID technologies retailers in China. The technology analysis service platform integrates various tools enabling interactive and flexible analysis processes to understand how RFID technology can be adopted and used effectively in retailers in China and in logistics and supply chain management