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Domain, time

Continuous-scan interferometry is the conventional mode in which the mirror is moved with a constant velocity, modulating IR radiation at the Fourier frequencies [2a]. The major advantage of this type of interferometry is its capability [Pg.383]

To improve the SNR, several signals measmed at the same mirror position are averaged. As a result, several thousandfold triggering of the reaction is required to achieve appropriate spectral resolution and SNR. For example, to study the generation of the monocation radical of heptylviologen (HV +) upon a potential step from —0.2 to —0.55 V (Ag-AgCl) on a gold electrode with l(X)-p,s-iesolved ATR-SEIRA spectroscopy (Fig. 4.55), potential modulation cycles were repeated about 2000 times with spectral resolution of 8 cm [473]. [Pg.385]

To eliminate the technical difficulties connected with the dead stop of the moving mirror and the transient mechanical vibrations that are associated with the above-mentioned kind of movement, an alternative mode can be used in which the fixed mirror oscillates with a rectangular wavefront, while the other mirror is moved at a constant velocity [616]. [Pg.385]

S measurements have several advantages when compared to rapid-scan stroboscopic TR measmements [599]. First, because the detector samples [Pg.385]

However, for the same data collection time, interferometry is more sensitive to multiplicative noise (i.e., noise proportional to the signal) than continuous-scan interferometry [591]. To eliminate the multiplicative and 1// noise, phase modulation (at 400 Hz) of IR radiation in conjunction with LIA demodulation is used [591]. Since the LIA and some IR detectors need the IR signal to be modulated at a single carrier frequency, a mechanical chopper, phase modulation (when at each position the fixed mirror is dithered at a fixed frequency), or modulation of absorption of the sample is used to produce a carrier frequency. In this case, the TR measurement is referred to as a synchronous multiple-modulation experiment. Multiple modulation is unnecessary if the so-called dc coupled detector which does not require a varying signal is used. [Pg.386]


J.-C. Bolomey, D. Lesselier, C. Pichot and W. Tabbara, Spectral and time domain approaches to some inverse scattering problems, 1981, / Trans. Antennas Propagat., 29, pp. 206-212. [Pg.130]

Figure 8 mother wavelet y/(t) (left) and wavelet built out of the mother wavelet by time shift b, and dilatation a. Both functions are represented in the time domain and the frequency domain. [Pg.360]

Perhaps the more conventional approach to electronic absorption spectroscopy is cast in the energy, rather than in the time domain. It is straightforward to show that equation (Al.6.87) can be rewritten as... [Pg.247]

Equation (A 1.6.94) is called the KHD expression for the polarizability, a. Inspection of the denominators indicates that the first temi is the resonant temi and the second temi is tire non-resonant temi. Note the product of Franck-Condon factors in the numerator one corresponding to the amplitude for excitation and the other to the amplitude for emission. The KHD fonnula is sometimes called the siim-over-states fonnula, since fonnally it requires a sum over all intennediate states j, each intennediate state participating according to how far it is from resonance and the size of the matrix elements that coimect it to the states i. and The KHD fonnula is fiilly equivalent to the time domain fonnula, equation (Al.6.92). and can be derived from the latter in a straightforward way. However, the time domain fonnula can be much more convenient, particularly as one detunes from resonance, since one can exploit the fact that the effective dynamic becomes shorter and shorter as the detuning is increased. [Pg.252]

Joo T, Jia Y, Yu J-Y, Lang M J and Fleming G R 1996 Third-order nonlinear time domain probes of solvation dynamics J. Chem. Phys. 104 6089... [Pg.280]

While the data are collected in the time domain by scaiming a delay line, they are most easily interpreted in the frequency domain. It is straightforward to coimect the time and frequency domains tln-ough a Fourier transform... [Pg.1166]

Figure Bl.2.7. Time domain and frequency domain representations of several interferograms. (a) Single frequency, (b) two frequencies, one of which is 1.2 times greater than the other, (c) same as (b), except the high frequency component has only half the amplitude and (d) Gaussian distribution of frequencies. Figure Bl.2.7. Time domain and frequency domain representations of several interferograms. (a) Single frequency, (b) two frequencies, one of which is 1.2 times greater than the other, (c) same as (b), except the high frequency component has only half the amplitude and (d) Gaussian distribution of frequencies.
Remade F and Levine R D 1993 Time domain information from resonant Raman excitation profiles a direct inversion by maximum entropy J. Chem. Phys. 99 4908-25... [Pg.1227]

A microwave pulse from a tunable oscillator is injected into the cavity by an anteima, and creates a coherent superposition of rotational states. In the absence of collisions, this superposition emits a free-mduction decay signal, which is detected with an anteima-coupled microwave mixer similar to those used in molecular astrophysics. The data are collected in the time domain and Fourier transfomied to yield the spectrum whose bandwidth is detemimed by the quality factor of the cavity. Hence, such instruments are called Fourier transfomi microwave (FTMW) spectrometers (or Flygare-Balle spectrometers, after the inventors). FTMW instruments are extraordinarily sensitive, and can be used to examine a wide range of stable molecules as well as highly transient or reactive species such as hydrogen-bonded or refractory clusters [29, 30]. [Pg.1244]

Jeon T I and Grischkowsky D 1998 Characterization of optically dense, doped semiconductors by reflection THz time domain spectroscopy Appl. Rhys. Lett. 72 3032-4... [Pg.1261]

Nuss M C and Orenstein J 1998 Terahertz time domain spectroscopy Millimeter Submillimeter Wave Spectrosc. Solids 74 7-50... [Pg.1261]

Many of the fiindamental physical and chemical processes at surfaces and interfaces occur on extremely fast time scales. For example, atomic and molecular motions take place on time scales as short as 100 fs, while surface electronic states may have lifetimes as short as 10 fs. With the dramatic recent advances in laser tecluiology, however, such time scales have become increasingly accessible. Surface nonlinear optics provides an attractive approach to capture such events directly in the time domain. Some examples of application of the method include probing the dynamics of melting on the time scale of phonon vibrations [82], photoisomerization of molecules [88], molecular dynamics of adsorbates [89, 90], interfacial solvent dynamics [91], transient band-flattening in semiconductors [92] and laser-induced desorption [93]. A review article discussing such time-resolved studies in metals can be found in... [Pg.1296]

For a given half width at half maximum in the time domain, Ar,.n =2, /, the slice width A decreases with increasing gradient strength G. ... [Pg.1524]

Pulsed, or time-domain, EPR spectrometers have also been developed at higher frequencies up to 140 GHz [55. 56]. They are generally low-power units with characteristically long pulse lengths (typically 50 ns for a n/2-pulse) due to tire limited MW powers available at millimetre wavelengths and the lack of fast-switching... [Pg.1586]

Pedersen J E and Keiding S R 1992 THz time-domain spectroscopy of non-polar liquids IEEE J. Quantum. Electron. 28 2518-22... [Pg.1991]

This is the description of NMR chemical exchange in the time domain. Note that this equation and equation (B2.4.11)) are Fourier transfomis of each other. The time-domain and frequency-domain pictures are always related in this way. [Pg.2096]

Binsch [6] provided the standard way of calculating these lineshapes in the frequency domain, and implemented it in the program DNMR3 [7], Fonnally, it is the same as the matrix description given in section (B2.4.2.3). The calculation of the matrices L, R and K is more complex for a coupled spin system, but that should not interfere witii the understanding of how the method works. This work will be discussed later, but first the time-domain approach will be developed. [Pg.2099]

This Liouville-space equation of motion is exactly the time-domain Bloch equations approach used in equation (B2.4.13). The magnetizations are arrayed in a vector, and anything that happens to them is represented by a matrix. In frequency units (1i/2ti = 1), the fomial solution to equation (B2.4.26) is given by equation (B2.4.27) (compare equation (B2.4.14H. [Pg.2099]

Once the basic work has been done, the observed spectrum can be calculated in several different ways. If the problem is solved in tlie time domain, then the solution provides a list of transitions. Each transition is defined by four quantities the mtegrated intensity, the frequency at which it appears, the linewidth (or decay rate in the time domain) and the phase. From this list of parameters, either a spectrum or a time-domain FID can be calculated easily. The spectrum has the advantage that it can be directly compared to the experimental result. An FID can be subjected to some sort of apodization before Fourier transfomiation to the spectrum this allows additional line broadening to be added to the spectrum independent of the sumilation. [Pg.2104]

The Bloch equation approach (equation (B2.4.6)) calculates the spectrum directly, as the portion of the spectrum that is linear in a observing field. Binsch generalized this for a frilly coupled system, using an exact density-matrix approach in Liouville space. His expression for the spectrum is given by equation (B2.4.42). Note that this is fomially the Fourier transfomi of equation (B2.4.32). so the time domain and frequency domain are coimected as usual. [Pg.2104]

An alternative approach to obtaining microwave spectroscopy is Fourier transfonn microwave (FTMW) spectroscopy in a molecular beam [10], This may be considered as the microwave analogue of Fourier transfonn NMR spectroscopy. The molecular beam passes into a Fabry-Perot cavity, where it is subjected to a short microwave pulse (of a few milliseconds duration). This creates a macroscopic polarization of the molecules. After the microwave pulse, the time-domain signal due to coherent emission by the polarized molecules is detected and Fourier transfonned to obtain the microwave spectmm. [Pg.2441]

In the same section, we also see that the source of the appropriate analytic behavior of the wave function is outside its defining equation (the Schibdinger equation), and is in general the consequence of either some very basic consideration or of the way that experiments are conducted. The analytic behavior in question can be in the frequency or in the time domain and leads in either case to a Kramers-Kronig type of reciprocal relations. We propose that behind these relations there may be an equation of restriction, but while in the former case (where the variable is the frequency) the equation of resh iction expresses causality (no effect before cause), for the latter case (when the variable is the time), the restriction is in several instances the basic requirement of lower boundedness of energies in (no-relativistic) spectra [39,40]. In a previous work, it has been shown that analyticity plays further roles in these reciprocal relations, in that it ensures that time causality is not violated in the conjugate relations and that (ordinary) gauge invariance is observed [40]. [Pg.97]

As already mentioned, the results in Section HI are based on dispersions relations in the complex time domain. A complex time is not a new concept. It features in wave optics [28] for complex analytic signals (which is an electromagnetic field with only positive frequencies) and in nondemolition measurements performed on photons [41]. For transitions between adiabatic states (which is also discussed in this chapter), it was previously intioduced in several works [42-45]. [Pg.97]


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Advanced Processing in the Time Domain

Advanced time domain

Analogue signals time domain

Analysis of Distance Distribution from Time-Domain Measurements

Bayesian Time-domain Approach

Biological example - two-photon time-domain FLIM

Characterization by Ultrasonic Time-Domain Reflectometry

Complex systems time-domain spectroscopy

Computational electrodynamics finite difference time domain

Data Analysis Time-domain

Data analysis time-domain spectroscopy

Decomposition time-domain data

Dielectric relaxation time-domain spectroscopy

Dielectric spectroscopy time-domain

Dielectric spectroscopy time-domain analysis

Distributions from Time-Domain Measurements

ENDOR time-domain

Electromagnetic migration in the time domain

Energy inequality in the time domain

Finite difference time domain

Finite difference time domain electronics

Finite difference time domain enhancement

Finite difference time domain method

Finite difference time domain surfaces

Finite-difference time-domain FDTD)

Finite-difference time-domain simulations

Finite-differential time-domain

Finite-differential time-domain method

Fluctuation-dissipation theorems time-domain formulation

Fluorescence lifetime imaging microscopy time-domain

Fluorescence time-domain FLIM

Fluorescence time-domain data

Formants in the Time Domain FOFs

Fourier Transform Frequency Analysis of the Time Domain MR Signal

Fourier time domain

Fourier time-domain response

Fourier transform time domains

Fourier transform time-domain interferometry

Fourier transform time-domain spectroscopy

Frequency domain dielectric polarization, time-dependent

Frequency domains, time-resolved

Frequency-Domain Analysis of Time Series

Frequency-dependent permittivity, time-domain

Greens tensors in the time domain

Heterogeneous systems time domain

Impulse excitation, time-domain

Impulse excitation, time-domain response

Indirect time domain

Iterative migration in the time domain

Linear time domain analysis

Lineshape analysis time domain

Migration imaging in the time domain

Model acceptance criteria for the time-domain technique explainability

Model acceptance criteria for the time-domain technique predictability

Modeling time domain

Molecular dynamics time-domain analysis

Near finite difference time domain

Noise Reduction and Time Domain Interpolation

Nonlinear Time-Domain Modeling of Power Sources Based on Impedance Models

Nonlinear least-squares fitting time domain

Nonuniform sampling, time-domain

Nuclear Resonance Scattering Using Synchrotron Radiation (Mossbauer Spectroscopy in the Time Domain)

Optical time domain reflectometry (OTDR

Optical time-domain reflectometer

Optical time-domain reflectometry

Patterns time-domain

Periodic orbits time domain

Periodogram and Its Use in Frequency-Domain Analysis of Time Series

Picosecond time domain

Polarization propagator time domain

Potential current-time domain

Poyntings theorem in the time domain

Process time—temporal domain

Pump-probe techniques time domains

Relaxation time domain measurements

Relaxation time, single-domain magnetic

Resonances in the Time Domain

Response function time domain

Signal enhancement in the time domain

Slow time-domain dielectric

Slow time-domain dielectric spectroscopy

Slow time-domain measurements

Solvation dynamics time-domain methods

Spectroscopy time domain

Spectroscopy time domain/resolved

Spectroscopy time-domain experiments

Stochastic Errors in Time-Domain Signals

Temperature sensing time-domain

Terahertz time-domain spectroscopy

Terahertz time-domain spectroscopy THz-TDS)

The time domain

Time and Frequency Domain Representation

Time and frequency domain

Time domain ESR

Time domain NMR measurements

Time domain analysis

Time domain analysis dielectric response

Time domain analysis equation

Time domain analysis pressure

Time domain approach

Time domain data points

Time domain density functional theory

Time domain differential equations

Time domain filtering

Time domain hydrogen evolution

Time domain instruments

Time domain lifetime measurement

Time domain measurements

Time domain measurements Fourier transform technique

Time domain measurements, electrochemical

Time domain measurements, electrochemical impedance spectroscopy

Time domain methods

Time domain performance specifications

Time domain reflectometry

Time domain response

Time domain response capacitor

Time domain signal

Time domain signal model

Time domain significance

Time domain spectroscopy, dielectric properties

Time domain spectrum

Time domain spectrum, formation

Time domain steel

Time domain substitute

Time domain transmissometry

Time domain vibrational spectroscopy

Time domain, Fourier series

Time domain, resonances

Time domain, resonances simulation results

Time domain, resonances states

Time domains, wave packet dynamics

Time to Frequency Domain

Time-Domain Anisotropy Data

Time-Domain Eyeball Fitting of Step Test Data

Time-Domain Lifetime Standards

Time-and frequency-domain signals

Time-domain EPR studies of slow molecular motion

Time-domain FID

Time-domain FLIM

Time-domain NMR

Time-domain PSOLA

Time-domain approach for

Time-domain data

Time-domain experiments

Time-domain high-frequency

Time-domain information

Time-domain measurement system

Time-domain multiplexing

Time-domain optical memories

Time-domain parameters

Time-domain sensing

Time-domain spectroscopy basic principles

Time-domain spectroscopy data processing

Time-domain spectroscopy defined

Time-domain spectroscopy regime

Time-domain technique

Time-domain terahertz

Time-frequency domain

Time-resolved spectrometry domain

Ultrasonic time domain reflectometry

Ultrasonic time-domain reflectometry (UTDR

Various time domains of external field control

Wentzel-Fermi Golden Rule, to time domain

Wide field time-domain FLIM

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