Hydrodynamical-model analysis of high-energy interactions due to mesons, antiprotons and α-particles

1984 ◽  
Vol 26 (2) ◽  
pp. 285-289
Author(s):  
R. K. Shivpuri ◽  
Ajay Mian ◽  
Chandra Gupt
Keyword(s):  
High Energy ◽  
Model Analysis ◽  
Hydrodynamical Model ◽  
Α Particles

The recoil characteristics of fission fragments produced by interaction of high-energy α-particles with heavy nuclei

1978 ◽  
Vol 46 (3) ◽  
pp. 488-494
Author(s):  
B. Grabež ◽  
Ž. Todorović ◽  
R. Antanasijević
Keyword(s):  
High Energy ◽  
Heavy Nuclei ◽  
Fission Fragments ◽  
Α Particles

The multiple scattering model analysis of high energy multiparticle production on emulsion nuclei

1979 ◽  
Vol 291 (2) ◽  
pp. 189-197 ◽  
Author(s):  
S. A. Azimov ◽  
L. P. Chernova ◽  
G. M. Chernov ◽  
K. G. Gulamov ◽  
V. Sh. Navotny ◽  
...  
Keyword(s):  
Multiple Scattering ◽  
High Energy ◽  
Model Analysis ◽  
Multiparticle Production ◽  
Scattering Model

scholarly journals Nuclear disintegrations produced by cosmic rays

1949 ◽  
Vol 196 (1046) ◽  
pp. 325-343 ◽  
Keyword(s):  
Cosmic Radiation ◽  
High Energy ◽  
Energy Spectra ◽  
Angular Distributions ◽  
Excitation Energies ◽  
Wide Range ◽  
High Energy Tail ◽  
Energy And Angular Distributions ◽  
Photographic Emulsions ◽  
Α Particles

Measurements have been made on the energy and angular distributions of the charged particles from disintegration ‘stars’ produced in the silver and bromine nuclei of photographic emulsions exposed to cosmic radiation. The observations extended over a wide range of excitation energies (100 to 700 MeV). The energy spectra and angular distributions of the protons can be explained in all cases by simple evaporation theory. This energy distribution shows also a high-energy tail consisting of direct knock-on protons and slow mesons. At high excitation energies the α-particles exhibit collimation effects which are probably due to localized ‘boiling’ or a form of fission.

Surface studies by means of α particles of high energy (2-4 MeV)

1973 ◽  
Vol 335 (1603) ◽  
pp. 509-523 ◽  
Keyword(s):  
Energy Spectrum ◽  
Impurity Concentration ◽  
Total Concentration ◽  
Compound Semiconductors ◽  
High Energy ◽  
Surface Studies ◽  
Disordered Layer ◽  
Α Particles

In this paper we describe how the channelling phenomenon may be used for surface studies. The origin of the 'surface peak’ of an alined energy spectrum is discussed, and the procedure for estimating the total concentration of unscreened surface atoms contributing to this peak is described. The interpretation of this area and the impurity peaks in terms of quantitative measures of surface stoichiometry, surface ‘disordered-layer’ thicknesses and absolute impurity concentration, are described. In order to illustrate the applications and limitations of the technique, we describe the application of the technique to three compound semiconductors, InP, GaAs and GaP.

A four quark-parton model analysis of recent high energy neutrino-nucleon scattering data

Pramana ◽  
1981 ◽  
Vol 16 (5) ◽  
pp. 425-435
Author(s):  
S Hashim Rizvi ◽  
Shoeb Abdullah
Keyword(s):  
Parton Model ◽  
High Energy ◽  
Model Analysis ◽  
Scattering Data ◽  
Nucleon Scattering ◽  
High Energy Neutrino ◽  
Energy Neutrino ◽  
Quark Parton Model

scholarly journals The stopping-power of mica for α-particles

1936 ◽  
Vol 155 (885) ◽  
pp. 419-434 ◽  
Keyword(s):  
High Energy ◽  
Mean Value ◽  
Stopping Power ◽  
Accurate Data ◽  
Ionization Chambers ◽  
High Energy Particles ◽  
Α Particles

Mica is commonly used in the laboratory for windows in counters and ionization chambers, and for absorption screens to determine the ranges of high-energy particles. For this reason, it is a matter of importance to have reliable values for the stopping-power of mica and for the variation of stopping-power with velocity. For computing the ranges of α-particles and protons, it has been customary to use a mean value, 1·43 mg/sq cm of mica as equivalent to 1 cm of air at 15° C and 760 mm pressure. The present experiments were undertaken in order to supply more accurate data. It has been found, however, that reliable values cannot be given because of the variation in mica from one sample to the next. Variations as great as 3% have been found for mica of the same kind (Green Madras). The best data have been plotted in fig. 3. If an error of 2% is not serious, this curve can be used: but for more accurate work, the stopping-power of the particular mica must be determined.

Optical-Model Analysis of High-Energy Neutrons Scattered by Deformed Nuclei

1962 ◽  
Vol 125 (1) ◽  
pp. 359-365 ◽  
Author(s):  
E. Gary Corman
Keyword(s):  
Optical Model ◽  
High Energy ◽  
Model Analysis ◽  
Deformed Nuclei ◽  
Optical Model Analysis

Scattering of high-energy α particles on12C

1978 ◽  
Vol 4 (11) ◽  
pp. 1695-1708 ◽  
Author(s):  
I Ahmad
Keyword(s):  
High Energy ◽  
Α Particles

Strategies for Performance Enhancement of Tesla Turbines for Combined Heat and Power Applications

2010 ◽  
Author(s):  
Vince Romanin ◽  
Van P. Carey ◽  
Zack Norwood
Keyword(s):  
Experimental Testing ◽  
Rankine Cycle ◽  
High Energy ◽  
Combined Heat And Power ◽  
Model Analysis ◽  
Maintenance Cost ◽  
Small Scale ◽  
Turbine Efficiency ◽  
Turbine Performance ◽  
Turbine Design

A small, efficient, and robust turbine is essential to the development of a small-scale (∼10 kWe) Combined Heat and Power (CHP) Rankine cycle system. While the Tesla turbine design offers a versatile solution with a low manufacturing and maintenance cost, its successful use in systems of this type hinges on development of a design that also offers high energy conversion efficiency. The investigation summarized here explored the parametric trends in Tesla turbine efficiency using model analysis of the turbine performance in tandem with experimental testing of a small scale Tesla turbine. The experimental data were used to evaluate the accuracy of trends predicted by the model analysis. Results of this evaluation show agreement between calculated and experiential efficiency. To further test the model, several non-dimensional parameters that arise from the model analysis were used to predict design modifications to the existing turbine that would improve turbine performance. Several of these modifications were fabricated and tested. Results show that the model is able to accurately predict efficiency variations that result from changes in turbine design. The model is then used to project new turbine designs that will maximize the efficiency of the turbine and recommendations are made for further improving Tesla turbine efficiency. Lastly, improved Tesla turbine designs are discussed in terms of their appropriateness for use in CHP Rankine cycle systems.

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