In this paper, we restudy the spectral lag features of short bright gamma-ray bursts (T90 < 2.6s) with a BATSE time-tagged event (TTE) sample including 65 single pulse bursts. The cross-correlation technique is adopted to measure the lags between two different energy channels. Meanwhile, we also make an investigation of the characteristics of the ratios between the spectral lag and the full wid...

This paper compares the observed reverberation response lags and the intensity ratios of the broad line region (BLR) emission lines HeII 1640, HeII 4686 and CIV 1549 with predictions. Published observations indicate that the HeII 1640 lag is three times shorter than the lags of HeII 4686 or CIV 1549. Diverse models however do not reproduce this observation. Extensive improved numerical simulati...

In this paper, we explore the automatic explanation of Multivariate Time Series (MTS) through learning Dynamic Bayesian Networks (DBNs). We have developed an evolutionary algorithm which exploits certain characteristics of process MTS in order to generate good networks as quickly as possible. We compare this algorithm to other standard learning algorithms that have traditionally been used for s...

Using the Rossi X-Ray Timing Explorer, we have measured 127 ms time delays in 830 Hz quasi-periodic oscillations (QPOs) between 4–6 and 11–17 keV in 4U 1608252, with high-energy photons lagging low-energy photons, and found upper limits to the time delays of 45 ms between 2–6.5 and 6.5–67 keV in 1730 Hz QPOs in 4U 06141091 and 30 ms between 8.7–12.4 and 12.4–67 keV in 1870 Hz QPOs in 4U 1636253...

All neural networks, both natural and artificial, are characterized by two kinds of dynamics. The first one is concerned with what we would call “learning dynamics”, in fact the sequential (discrete time) dynamics of the choice of synaptic weights. The second one is the intrinsic dynamics of the neural network viewed as a dynamical system after the weights have been established via learning. Re...

I review the temporal/spectral data of accreting black hole sources paying most attention to the properties of the temporal variability such as photon energy dependent autoand cross-correlation functions, average shot profiles and hardness ratios, and the Fourier frequency dependent time/phase lags. These statistics characterize spectral changes at short time scales that are otherwise impossibl...

A scheduling system is proposed and developed for a special type of flow shop. In this flow shop there is one machine at each stage. A job may require multiple operations at each stage. The first operation of a job on stage j cannot start until the last operation of the job on stage j-1 has finished. Preemption of the operations of a job is not allowed. The flow shop that we consider has anothe...