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Scale invariant spectra

Such scale invariant spectra reveal that the dislocation density variation is scale invariant, and put forward spatial correlations over very large distances with a correlation length of the order of the system (sample) size. This is confirmed with the autocorrelation function of the records shown in figure 4, in which is also represented a signal taken from a... [Pg.143]

So far, we have been able to build a scenario which solves the horizon, flatness and monopole problems. As we already said, this scenario also explains the existence of an almost scale invariant spectrum in the cosmological perturbations. However, the derivation of this crucial result is significantly more involved than the previous one. First because we need to do a careful study of the cosmological perturbation in the context of general relativity and in an expanding universe. Second because we then need to solve these equations in the specific case of inflation. Third, because perturbation theory only tell of the evolution of cosmological perturbations, so that we need to specify the... [Pg.117]

PBH formation is bound up with the primordial density fluctuations spectrum. Inflation produces a scale invariant spectrum the root mean square fluctuation e for an inhomogeneity just inside the horizon is M independent. When the propitious time (42) comes, a PBH can form only if the density contrast 5 = 5p/p at horizon scale is large enough the rule is that for equation of state p = wp, 5 must exceed w. Evidently, the fraction (5 of horizon-size volumes which actually collapse (the probability that the inhomogeneity makes a PBH), is M independent. [Pg.171]

Within this paradigm, the results are consistent with a flat Universe (Qm = 1.02 0.02) and a nearly scale-invariant initial spectrum of perturbations ns = 0.93 0.03. Both of these are as expected if inflation acted in the early Universe. [Pg.191]

I then discuss the evidence from AGN for the existence of supermassive black holes in galaxy nuclei, as well as evidence for such black holes in ordinary galaxy nuclei. I use the free motion of gas parcels to illustrate aspects of accretion disks around black holes, showing how to calculate energy efficiency and surface emissivity of disks, and the rate of black hole spin-up. I recall the primary methods for black hole mass determination, the correlation of black hole mass with the stellar velocity dispersion of its neighborhood, and implications for the origin of supermassive black holes. Finally, I consider the formation of primordial black holes, and calculation of their mass spectrum at present in the case of scale invariant primordial inhomogeneities. [Pg.149]

Equation (17) corresponds to Eq. (8) with the vectors now standardized to the length y p — 1. In summary, the improvement in the correlated distance value is due to the removal of the baseline offset and to the scale-invariance of the pre-treated vectors of the unknown and of the library spectrum. The following problems in searching for an unknown in a spectral library persist ... [Pg.1044]

Another important characteristic of the CMBR anisotropy is its spectral power distribution. The measured distribution is nearly scale invariant it is the so-called Zel dovich-Harrison spectrum (see Peebles 1993). This means that every unit in the logarithm of the wave number contributes almost equally to the total power. [Pg.617]

In this equation the gasfraction in point (x,y,t) is correlated to the gasfraction in a point (x, y, t ). A condition for application of the Fourier-StieltJes transform was, that the wave field must be homogeneous. This means that all probability-densities are invariant under the addition of a constant vector to all space points. Strictly speaking this condition is not fulfilled for a wavy wall. But when the length scale on which the mean quantities change, is small in respect with the variation of Z in the separation variable r, then the wave field can be assumed to be almost homogeneous. A second condition on the transformation yields the stationarity of the wave field, so the second moment function will be only dependent on the separation variable x. This condition is satisfied when the mean quantities are independent in time. In this way the frequency, wave-number spectrum can be written as. [Pg.357]

Figure 16.5. IR absorbance spectra of iodine doped methyl substituted polyazines at various doping levels. The spectrum in the center of the plot is of an iodine-doped trimer. All spectra were normalized to the intense and invariant peak at 1358 cm and offset on the absorbance scale for clarity. Figure 16.5. IR absorbance spectra of iodine doped methyl substituted polyazines at various doping levels. The spectrum in the center of the plot is of an iodine-doped trimer. All spectra were normalized to the intense and invariant peak at 1358 cm and offset on the absorbance scale for clarity.
Figure 3-26 H(log s), which represents the spectrum of diffusive length scales, is shown for n = 1-11 for Re = 10(10). The scale distributions in the main panel of each figure approach an invariant distribution as the period increases. The inset reveals the broadening distributions as striations are created by the flow. Figure 3-26 H(log s), which represents the spectrum of diffusive length scales, is shown for n = 1-11 for Re = 10(10). The scale distributions in the main panel of each figure approach an invariant distribution as the period increases. The inset reveals the broadening distributions as striations are created by the flow.

See other pages where Scale invariant spectra is mentioned: [Pg.143]    [Pg.289]    [Pg.379]    [Pg.201]    [Pg.229]    [Pg.12]    [Pg.130]    [Pg.226]    [Pg.171]    [Pg.98]    [Pg.761]    [Pg.18]    [Pg.197]    [Pg.168]    [Pg.140]    [Pg.415]    [Pg.528]    [Pg.174]    [Pg.89]    [Pg.144]    [Pg.269]    [Pg.229]    [Pg.115]    [Pg.217]    [Pg.250]   
See also in sourсe #XX -- [ Pg.143 ]




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