simulation of gamma and hadron showers in the energy range 100gev- 25tev has been carried out. for a big ideal cherenkov light array, characteristics of lateral distribution of cherenkov photon density have been studied. results from this ideal detector are compared with those simulated for a real tunka- like array to investigate experimental potential of using existence of a hump in lateral di...

Linear-response time-dependent density-functional theory (TDDFT) can describe excitonic features in the optical spectra of insulators and semiconductors, using exchange-correlation (xc) kernels behaving as $-1/k^{2}$ to leading order. We show how excitons be modeled real-time TDDFT, an xc vector potential constructed from approximate, long-range corrected kernels. demonstrate for various materi...

It is known that many real signals, such as speech are non-stationary processes express theirfeature through changes in parameters over time. By observing shorter time intervals, the property ofstationarity can be notice. This characteristic enables application of techniques for adaptation to local signalcharacteristics signal processing algorithms. Many these algorithms described by standards,...

Simulation of gamma and hadron showers in the energy range 100GeV- 25TeV has been carried out. For a big ideal Cherenkov light array, characteristics of lateral distribution of Cherenkov photon density have been studied. Results from this ideal detector are compared with those simulated for a real TUNKA- like array to investigate experimental potential of using existence of a hump in lateral di...

background: the artificial neural networks (anns) are useful in solving nonlinear processes, without the need for mathematical models of the parameters. since the relationship between the ct numbers and material compositions is not linear, ann can be used for obtaining tissue density and composition. objective: the aim of this study is to utilize ann for determination of the composition and mas...