Coexistence of Firebird 1.5 and InterBase 5.6 or 6.0

Real-time systems. Scheduling, analysis and verification

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Frequency Selective Surfaces: Theory and Design

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Extra resources for Coexistence of Firebird 1.5 and InterBase 5.6 or 6.0

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To assess the dynamic behavior of the α-factor during a XGM experiment, we use the definition of an effective α-factor of a device. It relates the change of the single pass gain Gs(t) (Eq. 30)) and the phase shift Δϕ (t) (Eq. 13)) of a signal after an SOA. For an SOA with a length of L, the single pass gain Gs(t) is defined in Eq. 30). The phase shift Δϕ (t) defined in Eq. 13) is the difference between the instantaneous phase ϕ (t) and the phase ϕcnv in the stationary state. The phase shift Δϕ (t) is related to the change of refractive index Δnr, which includes all the contributions due to band filling, CH, SHB and TPA.

The input signals and the ASE noise. The modeling results are illustrated in Fig. 4. 65 Fig. 4. 65 ∑ β =c,v gT , β (carrier heating) at stationary state, where the subscript β = c, v refer to the CB and VB respectively. The symbols “X” on the x-axis indicates the peak point λp of the material gain. The circles indicate the transparency wavelength λ0, where g m = 0 . Modeling is made based on [86]. Values of all the parameters can be found in Appendix B. 3) Two Photon Absorption terms contributing to the gain compression are included in the gain terms of the input signals only - not in terms with ASE.

B) and (d) also show the propagation for the input cw photon density along the SOA. Using the SOA model above, we can also analyze the spatial distributions of the carrier density, ASE photon densities and necessarily the photon densities of input signals inside an SOA. These characteristics are not measurable in the experiment. Fig. 9(a) and (b) show these distributions inside an SOA for a low input cw signal power of − 30 dBm. 6 mm), Fig. 9(a). This is because the ASE photon densities are highest in regions near the facets as shown in Fig.