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State dynamical evolution

State transitions are therefore local in both space and time individual cells evolve iteratively according to a fixed, and usually deterministic, function of the current state of that cell and its neighboring cells. One iteration step of the dynamical evolution is achieved after the simultaneous application of the rule (p to each cell in the lattice C. [Pg.41]

Although CA are most often assumed to live 011 infinitely large lattices, we can equally well consider lattices that are finite in extent (which is done in practice regardless, since all CA simulations are ultimately restricted by a finite computer memory). If a lattice has N sites, there are clearly a finite number,, of possible global configurations. The global dynamical evolution can then be represented by a finite state transition graph Gc, much like the one considered in the description of an abstract automaton in section 2.1.4. [Pg.47]

Structurally Dyuamic CA the only generalizations mentioned so far were generalizations of either the rules or state space. Another intriguing possibility is to allow for the lattice C itself to become a full participant in the dynamical evolution of the system, much as the classically static physical space-time arena becomes a bona-fide dynamic element in general relativity. The idea is to study the behavior of systems evolving according to both value and local structure rules ... [Pg.51]

The influence of the appearance of such exotic states like quarks in stellar matter is topic of the study of quasi-stationary simulations of the evolution of isolated compact stars [15, 12, 7, 23] and accreting systems, where one companion is a superdense compact object [9,27], In this work we investigate the observability of the hadron-quark deconfinement phase transition in the dynamical evolution of a neutron star merger. [Pg.416]

We have examined two assisted adiabatic transfer schemes designed to control the dynamical evolution of a quantum many-body system. That control is achieved by active manipulation with external fields that work cooperatively with coherence and interference effects embedded in the system quantum dynamics. The schemes we have discussed are a small subset of the many that have been proposed to induce complete transfer of population from an arbitrary initial state to a selected target state of a system, yet they illuminate the generic character of the... [Pg.128]

The result of such a measurement is shown in Fig. 2, where the temporal evolution of the excited A E state was recorded for 39,39K2 (Fig. 2a) and 39,4 fo (Fig. 2b). Both figures show distinct oscillations of similar frequencies, which correspond to the molecular vibration of the excited K.2 molecules. Astonishingly, however, the two species show quite different interference patterns, as they fingerprint the excited-state dynamics of apparently similar isotopomers 39,39K2 and 39,41 K2. The Fourier transforms of the two signals, presented in Fig. 3, provide complementary insight into the dif-... [Pg.104]

Figure 5. A femtosecond pump-probe photoionization scheme for studying excited-state dynamics in DT. The molecule is excited to its S> electronic origin with a pump pulse at 287 nm (4.32 eV). Due to nonadiabatic coupling, DT undergoes rapid internal conversion to the lower lying Si state (3.6eV). The excited-state evolution is monitored via single-photon ionization. As the ionization potential is 7.29 eV, all probe wavelengths <417 nm permit single-photon ionization of the excited state. Figure 5. A femtosecond pump-probe photoionization scheme for studying excited-state dynamics in DT. The molecule is excited to its S> electronic origin with a pump pulse at 287 nm (4.32 eV). Due to nonadiabatic coupling, DT undergoes rapid internal conversion to the lower lying Si state (3.6eV). The excited-state evolution is monitored via single-photon ionization. As the ionization potential is 7.29 eV, all probe wavelengths <417 nm permit single-photon ionization of the excited state.

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See also in sourсe #XX -- [ Pg.273 ]




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