398 research outputs found

    Computation of the Binding Energies in the Inverse Problem Framework

    Full text link
    We formalized the nuclear mass problem in the inverse problem framework. This approach allows us to infer the underlying model parameters from experimental observation, rather than to predict the observations from the model parameters. The inverse problem was formulated for the numericaly generalized the semi-empirical mass formula of Bethe and von Weizs\"{a}cker. It was solved in step by step way based on the AME2012 nuclear database. The solution of the overdetermined system of nonlinear equations has been obtained with the help of the Aleksandrov's auto-regularization method of Gauss-Newton type for ill-posed problems. In the obtained generalized model the corrections to the binding energy depend on nine proton (2, 8, 14, 20, 28, 50, 82, 108, 124) and ten neutron (2, 8, 14, 20, 28, 50, 82, 124, 152, 202) magic numbers as well on the asymptotic boundaries of their influence. These results help us to evaluate the borders of the nuclear landscape and show their limit. The efficiency of the applied approach was checked by comparing relevant results with the results obtained independently.Comment: 9 pages, 1 figure, Proceedings of the International Symposium on Exotic Nuclei EXON-2016, Kazan, Russia, 4-10 September 2016. based on arXiv:1602.0677

    Simultaneously non-linear energy calibration of CMS calorimeters for single pions and electrons

    Get PDF
    CMS calorimeter energy calibration was done in the full CMS simulated geometry for the pseudorapidity region eta = 0. The samples of single pion events were generated with a set of incident energies from 5 GeV to 3 TeV and for single electrons from 5 to 500 GeV. The analysis of the simulated data shows that standard calibration using just sampling coefficients for calorimeter parts with different sampling ratio gives nonlinear calorimeter response. Non-linear calibration technique was applied simultaneously for pion and electron beams which is preparation for jets energy reconstruction. It improve calorimeter energy resolution for pions and restore the calorimeter linearity.Comment: 7 pages, 2 figures, latex fil

    Modification of the Nuclear Landscape in the Inverse Problem Framework using the Generalized Bethe-Weizs\"{a}cker Mass Formula

    Full text link
    The dependence on the structure functions and Z, N numbers of the nuclear binding energy is investigated within the inverse problem(IP) approach. This approach allows us to infer the underlying model parameters from experimental observation, rather than to predict the observations from the model parameters. The IP was formulated for the numerical generalization of the semi-empirical mass formula of BW. It was solved in step by step way based on the AME2012 nuclear database. The established parametrization describes the measured nuclear masses of 2564 isotopes with a maximum deviation less than 2.6 MeV, starting from the number of protons and number of neutrons equal to 1. The set of parameters {ai}\{a_{i}\}, i=1,,Nparami=1,\dots, {\mathcal{N}}_{\rm{param}} of our fit represent the solution of an overdetermined system of nonlinear equations, which represent equalities between the binding energy EB,jExpt(A,Z)E_{B,j}^{\rm{Expt}}(A,Z) and its model EB,jTh(A,Z,{ai})E_{B,j}^{\rm{Th}}(A,Z,\{a_{i}\}), where jj is the index of the given isotope. The solution of the overdetermined system of nonlinear equations has been obtained with the help of the Aleksandrov's auto-regularization method of Gauss-Newton(GN) type for ill-posed problems. The efficiency of the above methods was checked by comparing relevant results with the results obtained independently. The explicit form of unknown functions was discovered in a step-by-step way using the modified least χ2\chi^{2} procedure, that realized in the algorithms which were developed by Aleksandrov to solve nonlinear systems of equations via the GN method, lets us to choose between two functions with same χ2\chi^{2} the better one. In the obtained generalized model the corrections to the binding energy depend on nine proton (2, 8, 14, 20, 28, 50, 82, 108, 124) and ten neutron (2, 8, 14, 20, 28, 50, 82, 124, 152, 202) magic numbers as well on the asymptotic boundaries of their influence.Comment: 93 pages, 10 figures, 6 tables. Report on the International Symposium on Exotic Nuclei EXON-2016, Kazan, Russia, 4-10 September 201

    A new fault-tolerant flux-reversal doubly-salient magnetless motor drives with four-phase topology

    Get PDF
    Paper no. YD-014184The proposed fault-tolerant flux-reversal doubly-salient (FT-FRDS) magnetless motor drive consists of armature winding for driving and DC-field winding for field excitation. The purpose of this paper is to investigate two remedial strategies for fault-tolerant operations of the proposed motor drive under short-circuit faults. First, short-circuit phase can be disabled and the short-circuit fault can then be regarded as the open-circuit fault. By reconstructing the healthy armature phases, the reduced torque can be remedied and this is known as the fault-tolerant brushless AC (FT-BLAC) operations. Second, short-circuit fault can also be remedied based on the DC-field regulation alone, and this is known as the fault-tolerant DC-field (FT-DC) operation. These two remedial operations are compared and verified by the finite-element-method (FEM). © 2015 IEEE.postprin

    A transverse flux permanent magnet linear generator for hybrid electric vehicles

    Get PDF
    Article: TD-007358This paper presents a transverse flux permanent magnet (TFPM) linear generator for the free-piston generation application, which not only possessing the merits of the existing TFPM machine, but also providing a simple structure which is essential for power generation with maintenance-free operation. Also, the machine configuration is optimized such that the induced voltage is maximized while the cogging force is minimized. Hence, a 2-phase linear TFPM is resulted, which is well supported by performance analysis.published_or_final_versio
    corecore