منابع مشابه
Calculation of nuclear level density parameter as a function of tmperature and mass number
Nuclear level density is one of the most important concepts in nuclear physics; basically, it is the key in dealing with nuclear statistical problems. This quantity plays an essential role in the statistical calculation of reactor physics, astrophysics, researches in the average energy of heavy- ion collision and calculations related to neutron evaporation and other applications. This quantity ...
متن کاملSTUDY OF NUCLEAR LEVEL DENSITY AND SPIN CUT-OFF FACTORS
Nuclear level densities and spin cut-off factors have been deduced for nuclei in the mass region 24‹A‹63,from a microscopic theory, which includes nuclear pairing interaction. Single particle levels for both Seeger and Nilsson potentials were used in the calcdations. Level densities extracted from the theory are compared with their conesponding experimental values, It is found that the overall...
متن کاملstudy of nuclear level density and spin cut-off factors
nuclear level densities and spin cut-off factors have been deduced for nuclei in the mass region 24‹a‹63,from a microscopic theory, which includes nuclear pairing interaction. single particle levels for both seeger and nilsson potentials were used in the calcdations. level densities extracted from the theory are compared with their conesponding experimental values, it is found that the overall ...
متن کاملDetermination of the nuclear level density at high excitation energy.
Evaporation simulations are presented to illustrate the problems associated with the determination of the nuclear level density constant at high excitation energy from evaporation spectra. The methods of using either the total (whole chain) spectra or the difference (from two different initial excitation energies) spectra are discussed. Data from the study of the reaction 701 MeV 'Si+ ' Mo are ...
متن کاملImprovement of density-based clustering algorithm using modifying the density definitions and input parameter
Clustering is one of the main tasks in data mining, which means grouping similar samples. In general, there is a wide variety of clustering algorithms. One of these categories is density-based clustering. Various algorithms have been proposed for this method; one of the most widely used algorithms called DBSCAN. DBSCAN can identify clusters of different shapes in the dataset and automatically i...
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ژورنال
عنوان ژورنال: Iraqi Journal of Physics (IJP)
سال: 2019
ISSN: 2664-5548,2070-4003
DOI: 10.30723/ijp.v11i20.380