Deconvolution annealing

Insert of Figure 13.2 shows the positron lifetime spectra for MgO (open circles), Au-implanted MgO (crosses) and Au nanoparticles embedded in MgO (solid circles). These spectra were deconvoluted using Laplace inversion [CONTIN, 7] into the probability density functions (pdf) as a function of vacancy size. Figure 13.2 shows the pdf spectra for the MgO samples accordingly. The positron lifetime components obtained for the MgO layer are 0.22 0.04 ns with 89 3% contribution and 0.59 0.07 ns with 11 3% contribution. For the Au-implanted sample without annealing, the major lifetime component is at 0.32 ns. For the Au nanoparticle-embedded MgO, lifetime components are 0.41 0.08 ns at 90% and 1.8 0.3 ns at 7%. 

R. E. Hoffman, G.C. Levy, Spectral deconvolution by simulated annealing. Journal of Magnetic Resonance, 83 (1989) 41,1. 

H. Raittinen, K. Kaski, Image deconvolution with simulated annealing method. Physica Scripta, 33 (1990) 126. 

Deconvolution methods can also be used to suppress residual water signals as demonstrated by Marion et Assuming that the latter are at the center of the spectral window, water is responsible for the low frequency component of the FID. A convolution of the time domain spectrum with a Gaussian or sine bell makes it possible to filter out the higher frequency and only retains the water component, which can later be subtracted from the original FID. This procedure can be fully automated and is quite appropriate for two- and three-dimensional experiments in the presence of water. The same year, Hoffman and Levy applied a computationally very demanding simulated annealing method to one-dimensional NMR spectra. 

Orlando, FL, 7th-llth May, 2000, paper 499 CHARACTERIZATION OF POLYETHYLENE BLENDS BY USING NOVEL TECHNIQUES SUCH AS THE SUCCESSIVE SELF-NUCLEATION AND ANNEALING (SSA) AND THE FOURIER SELF-DECONVOLUTION IR SPECTROSCOPY (FSD-IR)... 

Primeau, N., Vautey, C., Langlet, M. (1997). The effect of thermal annealing on aerosol-gel deposited Si02 films A FUR deconvolution study. Thin Solid Films 310,47-56. 

Kobayashi Y. Toyoda H. (1999). Development of an Optical Joint Transform Correlation System for Fingerprint Recognition, Opt Eng., Vol.38, p>p.l250-1210 McCaUum B. C. (1990). Blind Deconvolution by Simulated Annealing, Opt Commun., Vol.75, pp.101-105... 

N before and after annealing at 600°C (23.2 at % N) [90], (b) Raman spectra from the 1100 to 1800-cm region of amorphous carbon nitride film. The deconvoluted peaks have been assigned to D, G, and N bands depending on the nitrogen incorporation (a) 0 at % (b) 25.2 at %, (c) 33.2 at %, and (d) 23.2 at % in the films [90]. (c) D/G peak area ratio as a function of nitrogen concentration in the film [90]. (Reproduced from Thin Solid Films, 332 Chowdhury, A. K. M. S., et al., Vibrational properties of carbon nitride films by Raman spectroscopy, pp. 62-68. Copyright 1998, with permission from Elsevier Science.)... 

Fig. 3. Detailed spectra of As 2pi/2 and deconvolution results for the surface of InAs after etching in HCl-IP A solution and vacuum annealing.

Figure 6B shows the same spectra following Fourier self-deconvolution with a Lorentzian line of 8.5 cm halfwidth which results in a reduction of the bandwidth by a factor of 2.2 (for details of this deconvolution procedure see refs. 13-15). From the spectra after self-deconvolution it can be seen more clearly that the C=0 stretching band contour changes progressively with time and that after six days of incubation it is comprised of four narrow bands at 1744, 1737, 1730 and 1715 cm . In fact, the infrared spectra of annealed sample resemble those of a crystalline non-hydrated sample. 

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