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Transformation of Mass

We have now discussed how the description of coordinates and velocities is affected by the postulates of special relativity. To develop a relativistic dynamics, we also need to account for any relativistic effects on the mass of the particles involved. We imagine a simple collision experiment in the frame S A particle with mass m moves along the y direction, that is, perpendicular to the direction of motion of S relative to S. The particle undergoes a totally elastic collision with a wall in the x z plane and rebounds in the -y direction. If the speed along the y axis before the collision was u y, the total change of momentum is [Pg.13]

We assume that the speed Uy can be made arbitrarily small, such that ordinary nonrela-tivistic mechanics applies to the collision. (This assumption may appear questionable, but more refined arguments produce the same result.) [Pg.13]

consider the process viewed from S. Before the collision, the y-component of the particle velocity is [Pg.13]

For the change of momentum to be the same in the two frames, we must have [Pg.13]

Here m is the mass of the particle measured in the S frame where conditions are nonrelativistic. Thus, normal Newtonian mechanics apply, and the mass m would be the same as we would measure for the particle at rest. We call this the rest mass, and write it conventionally as mo. In order to describe the same process from the frame S, we must use a mass [Pg.13]


The first law of thermodynamics is the basis for material- and energy-balance calculations. Because there is no significant transformation of mass to energy in most manufacturing operations, for a material balance the first law can be reduced to the simplified form ... [Pg.364]

Drablos, F. Anal. Chim. Acta 256, 1992, 145-151. Transformation of mass spectra. Elyashberg, M. E., Blinov, K. A., Molodtsov, S. G., Smumyi, E. D. J. Anal. Chem. 63, 2008, 13-20. New computer-assisted methods for the elucidation of molecular structures from 2-D spectra. [Pg.261]

The importance of an appropriate transformation of mass spectra has also been shown for relationships between the similarity of spectra and the corresponding chemical structures. If a spectra similarity search in a spectral library is performed with spectral features (instead of the original peak intensities), the first hits (the reference spectra that are most similar to the spectrum of a query compound) have chemical structures that are highly similar to the query structure (Demuth et al. 2004). Thus, spectral library search for query compounds—not present in the database—can produce useful structure information if compounds with similar structures are present. [Pg.305]

Einstein is perhaps best known for his work on relativity, and his simple but elegant equation E = mf, which expresses an equivalence between energy and matter. It is this equation that describes the possibility of the transformation of mass into energy, and the phenomenon that is operational in a nuclear power plant or nuclear bomb. Very little matter can become an inordinate amount of energy, as the speed of light is a constant having an inordinately large value. [Pg.32]

Radon-222 is unstable and spontaneously emits an alpha particle. The resulting polonium is more stable than the radon and has a lower energy state. In fact, there is a transformation of mass into energy (the kinetic, or motion, energy of the alpha particle accounts for most of this), so the radon has a greater mass than the sum of the masses of the polonium and the alpha particle. [Pg.117]

All of these manipulations have in common that the validity of the representation with respect to its analytical value, its reliability and truth can easily be lost. It is therefore of major importance that image-processing steps are performed under controlled and traceable conditions by the software. Already, at the level of grayscale transformation of mass spectral intensities, data processing methods must be scrutinized in detail. A visuaUzed representation of a 2-D array of mass spectra is, by definition, a quantitative statement, even if the individual mass... [Pg.141]

In this chapter the basic principles of piezoelectric transducers will first be reviewed. Once we have covered the basics of the propagation of elastic waves through piezoelectric solids, we will turn to the study of how resonant structures respond to surface mass loading. The transformation of mass sensors into chemical sensors will be discussed in terms of existing work and the potential for future developments. [Pg.296]

Also listed in Table 1.3 are conversion factors for the transformation of mass transfer coefficients from one set of units to another. These are frequently required to convert literature values of k given in a particular set of units, to one needed in a different application. This type of conversion is taken up in Illustration 1.4. Of note as well in Table 1.3 is the appearance of the term the so-called logarithmic mean, or log-mean driving force, defined by... [Pg.17]

The procedure Merge transforms the internal displacement coordinates and momenta, the coordinates and velocities of centers of masses, and directional unit vectors of the molecules back to the Cartesian coordinates and momenta. Evolve with Hr = Hr(q) means only a shift of all momenta for a corresponding impulse of force (SISM requires only one force evaluation per integration step). [Pg.339]

Multivariate data analysis usually starts with generating a set of spectra and the corresponding chemical structures as a result of a spectrum similarity search in a spectrum database. The peak data are transformed into a set of spectral features and the chemical structures are encoded into molecular descriptors [80]. A spectral feature is a property that can be automatically computed from a mass spectrum. Typical spectral features are the peak intensity at a particular mass/charge value, or logarithmic intensity ratios. The goal of transformation of peak data into spectral features is to obtain descriptors of spectral properties that are more suitable than the original peak list data. [Pg.534]

These nine Qr,j are expressed as unitary transformations of the original mass weighted Cartessian eoordinates ... [Pg.354]

These transformation eoeffieients Crj,k can be used to earry out a unitary transformation of the 9x9 mass-weighted Hessian matrix. In so doing, we need only form bloeks... [Pg.354]

Transforming to mass-weighted coordinates, equation (210) can be rewritten into a set of 3N simultaneous linear differential equations... [Pg.334]

Other types of mass spectrometer may use point, array, or both types of collector. The time-of-flight (TOF) instrument uses a special multichannel plate collector an ion trap can record ion arrivals either sequentially in time or all at once a Fourier-transform ion cyclotron resonance (FTICR) instrument can record ion arrivals in either time or frequency domains which are interconvertible (by the Fourier-transform technique). [Pg.201]

This last m/z value is easy to measure accurately, and, if its relationship to the true mass is known (n = 10), then the true mass can be measured very accurately. The multicharged ions have typical m/z values of <3000 Da, which means that conventional quadrupole or magnetic-sector analyzers can be used for mass measurement. Actually, the spectrum consists of a series of multicharged protonated molecular ions [M + nWY for each component present in the sample. Each ion in the series differs by plus and minus one charge from adjacent ions ([M + uH] + n -an integer series for example, 1, 2, 3,. .., etc.). Mathematical transformation of the spectrum produces a true molecular mass profile of the sample (Figure 40.5). [Pg.291]

Data reduction. The process of transforming the initial digital or analog representation of output from a spectrometer into a form that is amenable to interpretation, e.g., a bar graph, a table of masses versus intensities. [Pg.431]

AH of the 15 plutonium isotopes Hsted in Table 3 are synthetic and radioactive (see Radioisotopes). The lighter isotopes decay mainly by K-electron capture, thereby forming neptunium isotopes. With the exception of mass numbers 237 [15411-93-5] 241 [14119-32-5] and 243, the nine intermediate isotopes, ie, 236—244, are transformed into uranium isotopes by a-decay. The heaviest plutonium isotopes tend to undergo P-decay, thereby forming americium. Detailed reviews of the nuclear properties have been pubUshed (18). [Pg.192]

A key featui-e of MPC is that a dynamic model of the pi ocess is used to pi-edict futui e values of the contmlled outputs. Thei-e is considei--able flexibihty concei-ning the choice of the dynamic model. Fof example, a physical model based on fifst principles (e.g., mass and energy balances) or an empirical model coiild be selected. Also, the empirical model could be a linear model (e.g., transfer function, step response model, or state space model) or a nonhnear model (e.g., neural net model). However, most industrial applications of MPC have relied on linear empirical models, which may include simple nonlinear transformations of process variables. [Pg.740]

An understanding of the transformation of SO2 and NO. into other constituents no longer measurable as SOj and is needed to explain mass balance changes from one plume cross section to another. This loss of the primary pollutant SOj has been described as being exponential, and rates up to 1% per hour have been measured (30). The secondary pollutants generated by transformation are primarily sulfates and nitrates. [Pg.330]

In neutron reflectivity, neutrons strike the surface of a specimen at small angles and the percentage of neutrons reflected at the corresponding angle are measured. The an jular dependence of the reflectivity is related to the variation in concentration of a labeled component as a function of distance from the surface. Typically the component of interest is labeled with deuterium to provide mass contrast against hydrogen. Use of polarized neutrons permits the determination of the variation in the magnetic moment as a function of depth. In all cases the optical transform of the concentration profiles is obtained experimentally. [Pg.50]

The rate of a reaetion is the number of units of mass of some partieipating reaetants that is transformed into a produet per unit time and per unit volume of the system. The rate of a elosed homogeneous reaetion (that is, no gain or loss of material during the reaetion) is determined by the eomposition of the reaetion mixture, the temperature, and pressure. The pressure from an equation of state ean be determined together with the temperature and eomposition. [Pg.110]

Long-time reproducibility of elution profiles broad standard calibration with dextran T-500 transformation of a scb-type calibration function into nb/Icb-type via universal calibration dp of synthetic glucans in the presence of significant amounts of monomer mass and molar degree of polymerization of Triticale (hybride) starch... [Pg.461]

Tlie kind of trcuisformation tliat will take place for any given radioactive element is a function of the type of nuclear instability as well as the mass/eiiergy relationship. Tlie nuclear instability is dependent on the ratio of neutrons to protons a different type of decay will occur to allow for a more stable daughter product. The mass/energy relationship stales tliat for any radioactive transformation(s) the laws of conservation of mass tuid tlie conservation of energy must be followed. [Pg.27]


See other pages where Transformation of Mass is mentioned: [Pg.175]    [Pg.303]    [Pg.13]    [Pg.960]    [Pg.175]    [Pg.303]    [Pg.13]    [Pg.960]    [Pg.2063]    [Pg.266]    [Pg.704]    [Pg.84]    [Pg.632]    [Pg.189]    [Pg.269]    [Pg.107]    [Pg.332]    [Pg.542]    [Pg.463]    [Pg.1320]    [Pg.244]    [Pg.506]    [Pg.294]    [Pg.48]    [Pg.89]    [Pg.194]   


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Application of wavelet transform in mass spectrometry

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