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Analysis of experiments

Analysis [12] of the temperature dependences of the frequency distribution P io) and of the jump distribution P(A t) for individual chromophores provides what seems to be compelling confirmation of the above physical picture. (In the actual analysis of the data the expressions for P co) and P(A t) in Eqs. (15) and (21) were modified to include the effect of additional experimental noise [12].) For one chromophore the temperature dependence of the TLS flip rate is consistent with one-phonon-assisted tunneling, but for another it is not. More experimental studies on more molecules, for longer times, and over a wider range of temperatures, would help determine the mechanisms of TLS flipping, and would also provide further overall evidence to support (or refute) our picture. [Pg.154]

In glasses, single molecule line shapes show significant variation from molecule to molecule, and typically the line width is larger than the lifetime-limited value. This implies both that the chromophores are coupled to fast TLSs, and that different chromophores are coupled to sets of TLSs with different parameters. Therefore these experiments can, in principle, provide a wealth of information about TLS dynamics in glasses. The only attempt at theoretical analysis of these line shapes was performed by Fleury et al. [18]. Their analysis was along the lines of the discussion in [Pg.154]

Spectral diffusion trajectories due to spontaneous (rather than light-induced) fluctuations have been measured for Tr in PE [14] and for TBT in PIB [15,16]. As in the crystalline case these trajectories reflect dynamics of the slow TLSs. The three published trajectories show that in two cases the chromophore visits a large number of frequencies, and in one case, only four. In this latter case the chromophore is presumably strongly coupled to two TLSs. A correlation function analysis was applied to the PIB system, but for neither the PIB nor the PE system was a temperature-dependent study reported. [Pg.155]

We are now probably entering a very fruitful period as far as using single-molecule spectroscopy to probe molecular dynamics in solids is concerned. The spectral dif- [Pg.155]

Extremely exciting experimental data for glasses are now beginning to emerge. It has been shown that line shape measurements, fluorescence intensity fluctuations, and spectral diffusion trajectories can all be used to probe TLS dynamics on different time scales. Furthermore, as has been emphasized already, these experiments on individual molecules will provide information complementary to that obtained from more traditional echo and hole burning experiments. At this point what we need is more data. In an ideal world all three of the above experiments would be performed on the same individual molecule at a variety of temperatures, and then would be repeated on many molecules, and all of the above would be repeated for several different systems. Although the basic theoretical apparatus is in place for analyzing these experiments, more refined theoretical results will surely be needed. [Pg.156]


Mason, R. L. Gunst, R. F. Hess, J. L. Statistical Design and Analysis of Experiments. Wiley New York, 1989. [Pg.102]

D.C. Montgomery, Design and Analysis of Experiments, second edition, WUey, New York,... [Pg.890]

Reaction progress kinetic analysis offers a reliable alternative method to assess the stability of the active catalyst concentration, again based on our concept of excess [e]. In contrast to our different excess experiments described above, now we carry out a set of experiments at the same value of excess [ej. We consider again the proline-mediated aldol reaction shown in Scheme 50.1. Under reaction conditions, the proline catalyst can undergo side reactions with aldehydes to form inactive cyclic species called oxazolidinones, effectively decreasing the active catalyst concentration. It has recently been shown that addition of small amounts of water to the reaction mixture can eliminate this catalyst deactivation. Reaction progress kinetic analysis of experiments carried out at the same excess [e] can be used to confirm the deactivation of proline in the absence of added water as well to demonstrate that the proline concentration remains constant when water is present. [Pg.452]

There are many books that address experimental design and present factorial experimental design in detail (for example Design and Analysis of Experiments by Montgomery (1997) or Design of Experiments by Anderson and McLean (1974)). As engineers, we are faced quite often with the need to design a set of preliminary experiments for a process that very little or essentially no information is available. [Pg.185]

In this chapter, we will show how nonequilibrium methods can be used to calculate equilibrium free energies. This may appear contradictory at first glance. However, as was shown by Jarzynski [1, 2], nonequilibrium perturbations can be used to obtain equilibrium free energies in a formally exact way. Moreover, Jarzynski s identity also provides the basis for a quantitative analysis of experiments involving the mechanical manipulation of single molecules using, e.g., force microscopes or laser tweezers [3-6]. [Pg.171]

This deduction from analysis of experiments according to recent theory contradicts entrenched views on the role of chain entanglements. [Pg.586]

Orr, E., "The Use of Protein-rich Foods for the Relief of Malnutrition in Developing Countries An Analysis of Experience" Tropical Products Institute Monograph G 73, 1972 Aug. [Pg.48]

Experiments that will be used to estimate the behavior of a system should not be chosen in a whimsical or unplanned way, but rather, should be carefully designed with a view toward achieving a valid approximation to a region of the true response surface [Cochran and Cox (1950), Youden (1951), Wilson (1952), Mandel (1964), Fisher (1971)]. In the next several chapters, many of the important concepts of the design and analysis of experiments are introduced at an elementary level for the single-factor single-response case. In later chapters, these concepts will be generalized to multifactor, multiresponse systems. [Pg.59]

Mendenhall, W. (1968), Introduction to Linear Models and the Design and Analysis of Experiments, Wadsworth, Belmont, CA. [Pg.424]

Flow enters a pipe with some swirl, which is reduced over distance by pipe fiction. In an analysis of experiments on this process, apply the dimensionless... [Pg.95]

It will be seen that some of the methods for analysis of experiments conducted under the first approach can also be applied to data derived fi om experiments conducted imder the second approach. [Pg.37]

I.N. Vuchkov and L.N. Boyadjieva, The robustness against tolerances of performance characteristics described by second order polynomials, paper presented at First international conference-work-shop on optimal design and analysis of experiments, Neuchatel, Switzerland, July 25-28, 1988. [Pg.190]

D. Montgomery, Design and Analysis of Experiments. 5th ed. (New York, Wiley, 2001) C. F. Wu and M. Hamada, Experiments Planning, Analysis, and Parameter Design Optimization (New York Wiley, 2000) M. Anderson and... [Pg.666]


See other pages where Analysis of experiments is mentioned: [Pg.523]    [Pg.525]    [Pg.420]    [Pg.505]    [Pg.398]    [Pg.200]    [Pg.86]    [Pg.119]    [Pg.73]    [Pg.362]    [Pg.290]    [Pg.318]    [Pg.424]    [Pg.27]    [Pg.36]    [Pg.37]    [Pg.309]    [Pg.639]    [Pg.85]   
See also in sourсe #XX -- [ Pg.59 ]




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