Stress-induced traps in multilayered structures

Abstract

The trap parameters of defects in Si/CaF 2 multilayered structures were determined from the analysis of optical charging spectroscopy measurements. Two kinds of maxima were observed. Some of them were rather broad, corresponding to "normal" traps, while the others, very sharp, were attributed to stress-induced traps. A procedure of optimal linear smoothing the noisy experimental data has been developed and applied. This procedure is a Electronic mail: ciurea@infim.ro 2 based on finding the minimal value of the relative error with respect to the value of the smoothing window. In order to obtain a better accuracy for the description of the trapping-detrapping process, a Gaussian temperature dependence of the capture crosssections characterizing the stress-induced traps was introduced. Both the normal and the stress-induced traps have been characterized, including some previously considered as only noise features.

Detection of quasi-periodic processes in complex systems: how do we quantitatively describe their properties?

“…The GPCF p determined by expression (15) coincides with the conventional definition of the Pearson correlation coefficient at mom p = 2. Other values are determined by expressions (12) and (13).…”

“…This simple procedure was applied successfully for the smoothing of the initial signals [14] and the detection of the hidden traps [15], and so it can be applied in the same manner for the treatment of other data. Finally, we obtain…”

“…The wavenumbers (in cm −1 ) are counted off from the laser pumping frequency equaling 532 nm and all wavenumbers are classified as Stokes(+)-anti-Stokes(−) regions, correspondingly. For comparison in figure 1 we give only one similar spectrum identified with the help of CC-factor (see expressions (15) and (18) above). Comparing the first spectral record with the other 100 passages is given in figure 2.…”

The fluctuation spectroscopy based on the scaling properties of beta-distribution: Analysis of triple pendulum data

“…If the long-time series considered contains the clearly expressed but random trend then its random behavior can disturb the monotonic behavior of the 10 parameters figuring in the fitting functions (13)- (15). In these cases one can recommend to apply the procedure of the optimal linear smoothing (POLS) described in paper [28] or to use simple numeric differentiation. In our case these procedures are not necessary because the trend is absent.…”

“…5. Other dependencies are not so simple but nevertheless they can be identified from simple power-law and exponential hypothesis with the help of the eigencoordinates (ECs) method [27,28]. The dependences α þ β k S k ðαβÞand 〈B k 〉 have monotonic character also and can be fitted by means of two simple functions.…”