5,625 research outputs found

    Giant dispersion of critical currents in superconductor with fractal clusters of a normal phase

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    The influence of fractal clusters of a normal phase on the dynamics of a magnetic flux trapped in a percolative superconductor is considered. The critical current distribution and the current-voltage characteristics of fractal superconducting structures in the resistive state are obtained for an arbitrary fractal dimension of the cluster boundaries. The range of fractal dimensions, where the dispersion of critical currents becomes infinite, is found. It is revealed that the fractality of clusters depresses of the electric field caused by the magnetic flux motion thus increasing the critical current value. It is expected that the maximum current-carrying capability of a superconductor can be achieved in the region of giant dispersion of critical currents.Comment: 7 pages with 3 figure

    Realistic calculations of nuclear disappearance lifetimes induced by neutron-antineutron oscillations

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    Realistic calculations of nuclear disappearance lifetimes induced by neutron-antineutron oscillations are reported for oxygen and iron, using antineutron nuclear potentials derived from a recent comprehensive analysis of antiproton atomic X-ray and radiochemical data. A lower limit of 3.3 x 10E8 s on the neutron-antineutron oscillation time is derived from the Super-Kamiokande I new lower limit of 1.77 x 10E32 yr on the neutron lifetime in oxygen. Antineutron scattering lengths in carbon and nickel, needed in trap experiments using ultracold neutrons, are calculated from updated antinucleon optical potentials at threshold, with results shown to be largely model independent.Comment: version matching PRD publication, typos and references correcte

    Cosmic Coincidence and Asymmetric Dark Matter in a Stueckelberg Extension

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    We discuss the possibility of cogenesis generating the ratio of baryon asymmetry to dark matter in a Stueckelberg U(1) extension of the standard model and of the minimal supersymmetric standard model. For the U(1) we choose LΞΌβˆ’LΟ„L_{\mu}-L_{\tau} which is anomaly free and can be gauged. The dark matter candidate arising from this extension is a singlet of the standard model gauge group but is charged under LΞΌβˆ’LΟ„L_{\mu}-L_{\tau}. Solutions to the Boltzmann equations for relics in the presence of asymmetric dark matter are discussed. It is shown that the ratio of the baryon asymmetry to dark matter consistent with the current WMAP data, i.e., the cosmic coincidence, can be successfully explained in this model with the depletion of the symmetric component of dark matter from resonant annihilation via the Stueckelberg gauge boson. For the extended MSSM model it is shown that one has a two component dark matter picture with asymmetric dark matter being the dominant component and the neutralino being the subdominant component (i.e., with relic density a small fraction of the WMAP cold dark matter value). Remarkably, the subdominant component can be detected in direct detection experiments such as SuperCDMS and XENON-100. Further, it is shown that the class of Stueckelberg models with a gauged LΞΌβˆ’LΟ„L_{\mu}-L_{\tau} will produce a dramatic signature at a muon collider with the Οƒ(ΞΌ+ΞΌβˆ’β†’ΞΌ+ΞΌβˆ’,Ο„+Ο„βˆ’)\sigma(\mu^+\mu^-\to \mu^+\mu^-,\tau^+\tau^-) showing a detectable Zβ€²Z' resonance while Οƒ(ΞΌ+ΞΌβˆ’β†’e+eβˆ’)\sigma(\mu^+\mu^-\to e^+e^-) is devoid of this resonance. Asymmetric dark matter arising from a U(1)Bβˆ’LU(1)_{B-L} Stueckelberg extension is also briefly discussed. Finally, in the models we propose the asymmetric dark matter does not oscillate and there is no danger of it being washed out from oscillations.Comment: 36 pages, 7 figure

    Π˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Π°Ρ ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠ° Π°Π½Π°Π»ΠΈΠ·Π° Π½Π°Π²Ρ‹ΠΊΠΎΠ² ΠΈ ΡƒΠΌΠ΅Π½ΠΈΠΉ ΠΊΠΎΠ½Ρ‚ΠΈΠ½Π³Π΅Π½Ρ‚Π° студСнтов Π²Ρ‹ΡΡˆΠ΅Π³ΠΎ ΡƒΡ‡Π΅Π±Π½ΠΎΠ³ΠΎ завСдСния

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    In the below article, the application of the fuzzy logical conclusion method is considered as decision-maker in the process of analyzing the students skills and abilities based on the requirements of potential employers, in order to reduce the time of the first interview for potential candidates on a vacant position. When analyzing the results of the assessment of the competence of university students, a certain degree of fuzziness arises. In modern practice, fuzzy logic is used in many different assessment methods, including questioning, interviewing, testing, descriptive method, classification method, pairwise comparison, rating method, business games competence models, and the like. Each of the methods has its advantages and disadvantages, but they are effective only as part of a unified personnel management system. As a method for implementing a systematic approach to the assessment of the contingent of students, it is proposed to use fuzzy logic, a mathematical apparatus that allows you to build a model of an object based on fuzzy judgments. The use of fuzzy logic, the mathematical apparatus of which allows you to build a model of the object, based on fuzzy reasoning and rules. The most important condition for creating such a model is to translate the fuzzy, qualitative assessments used by man into the language of mathematics, which will be understood by the computer. The most used are fuzzy inferences using the Mamdani and Sugeno methods. In a fuzzy inference of the Mamdani type, the value of the output variable is given by fuzzy terms, in the conclusion of the Sugeno type, as a linear combination of the input variables. Research in the field of application of fuzzy logic in socio-economic systems suggests that it can be used to assess the competencies of university students.Π’ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅ рассмотрСно использованиС ΠΌΠ΅Ρ‚ΠΎΠ΄Π° Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΎΠ³ΠΎ логичСского Π²Ρ‹Π²ΠΎΠ΄Π° для ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠΈ принятия Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π² Π·Π°Π΄Π°Ρ‡Π°Ρ… Π°Π½Π°Π»ΠΈΠ·Π° Π½Π°Π²Ρ‹ΠΊΠΎΠ² ΠΈ ΡƒΠΌΠ΅Π½ΠΈΠΉ ΠΊΠΎΠ½Ρ‚ΠΈΠ½Π³Π΅Π½Ρ‚Π° студСнтов исходя ΠΈΠ· Ρ‚Ρ€Π΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»Π΅ΠΉ, с Ρ†Π΅Π»ΡŒΡŽ ΡƒΠΌΠ΅Π½ΡŒΡˆΠ΅Π½ΠΈΡ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΡƒΡŽ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΡƒ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΊΠ°ΡΠ°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚ΠΎΠ² Π½Π° Π²Π°ΠΊΠ°Π½Ρ‚Π½ΡƒΡŽ Π΄ΠΎΠ»ΠΆΠ½ΠΎΡΡ‚ΡŒ. ΠŸΡ€ΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΎΡ†Π΅Π½ΠΊΠΈ компСтСнтности студСнтов Π²ΡƒΠ·ΠΎΠ² Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ‚ опрСдСлСнная ΡΡ‚Π΅ΠΏΠ΅Π½ΡŒ нСчСткости. Π’ соврСмСнной ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ΅ нСчСткая Π»ΠΎΠ³ΠΈΠΊΠ° примСняСтся Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΈΡ… Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄Π°Ρ… ΠΎΡ†Π΅Π½ΠΊΠΈ, Π² Ρ‚ΠΎΠΌ числС Π°Π½ΠΊΠ΅Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅, ΠΈΠ½Ρ‚Π΅Ρ€Π²ΡŒΡŽ, тСстированиС, ΠΎΠΏΠΈΡΠ°Ρ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄, ΠΌΠ΅Ρ‚ΠΎΠ΄ классификации, ΠΏΠ°Ρ€Π½ΠΎΠ΅ сравнСниС, Ρ€Π΅ΠΉΡ‚ΠΈΠ½Π³ΠΎΠ²Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄, Π΄Π΅Π»ΠΎΠ²Ρ‹Π΅ ΠΈΠ³Ρ€Ρ‹ ΠΌΠΎΠ΄Π΅Π»ΠΈ компСтСнтности ΠΈ Ρ‚ΠΎΠΌΡƒ ΠΏΠΎΠ΄ΠΎΠ±Π½ΠΎΠ΅. ΠšΠ°ΠΆΠ΄Ρ‹ΠΉ ΠΈΠ· ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΠΈΠΌΠ΅Π΅Ρ‚ свои прСимущСства ΠΈ нСдостатки, Π½ΠΎ эффСктивны ΠΎΠ½ΠΈ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π² составС Π΅Π΄ΠΈΠ½ΠΎΠΉ систСмы управлСния пСрсоналом. Как ΠΌΠ΅Ρ‚ΠΎΠ΄ для Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ систСмного ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° ΠΊ ΠΎΡ†Π΅Π½ΠΊΠ΅ ΠΊΠΎΠ½Ρ‚ΠΈΠ½Π³Π΅Π½Ρ‚Π° студСнтов ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ Π½Π΅Ρ‡Π΅Ρ‚ΠΊΡƒΡŽ Π»ΠΎΠ³ΠΈΠΊΡƒ, матСматичСский Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ позволяСт ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ модСль ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡƒΡŽ Π½Π° Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΈΡ… суТдСниях. ИспользованиС Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΎΠΉ Π»ΠΎΠ³ΠΈΠΊΠΈ, матСматичСский Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ позволяСт ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ модСль ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°, ΠΎΡΠ½ΠΎΠ²Ρ‹Π²Π°ΡΡΡŒ Π½Π° Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΈΡ… рассуТдСниях ΠΈ ΠΏΡ€Π°Π²ΠΈΠ»Π°Ρ…. Π’Π°ΠΆΠ½Π΅ΠΉΡˆΠ΅Π΅ условиС создания Ρ‚Π°ΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π·Π°ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ΡΡ Π² Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎΠ±Ρ‹ пСрСвСсти Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΈΠ΅, качСствСнныС ΠΎΡ†Π΅Π½ΠΊΠΈ, примСняСмыС Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠΎΠΌ, Π½Π° язык ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΈ, которая Π±ΡƒΠ΄Π΅Ρ‚ понятна Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ машинС. НаиболСС ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΡ‹ΠΌΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΈΠ΅ Π²Ρ‹Π²ΠΎΠ΄Ρ‹ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ способов Мамдани ΠΈ Π‘ΡƒΠ³Π΅Π½ΠΎ. Π’ Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΎΠΌ Π²Ρ‹Π²ΠΎΠ΄Π΅ Ρ‚ΠΈΠΏΠ° Мамдани Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ Π²Ρ‹Ρ…ΠΎΠ΄Π½ΠΎΠΉ ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ Π·Π°Π΄Π°ΡŽΡ‚ΡΡ Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΈΠΌΠΈ Ρ‚Π΅Ρ€ΠΌΠ°ΠΌΠΈ, Π² Π·Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠΈ Ρ‚ΠΈΠΏΠ° Π‘ΡƒΠ³Π΅Π½ΠΎ – ΠΊΠ°ΠΊ линСйная комбинация Π²Ρ…ΠΎΠ΄Π½Ρ‹Ρ… ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ…. ИсслСдования Π² области примСнСния Π½Π΅Ρ‡Π΅Ρ‚ΠΊΠΎΠΉ Π»ΠΎΠ³ΠΈΠΊΠΈ Π² социоэкономичСских систСмах ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‚ Π³ΠΎΠ²ΠΎΡ€ΠΈΡ‚ΡŒ ΠΎ возмоТности Π΅Π΅ использования для ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†ΠΈΠΉ студСнтов Π²ΡƒΠ·ΠΎΠ²

    Longitudinal Hadronic Shower Development in a Combined Calorimeter

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    This work is devoted to the experimental study of the longitudinal hadronic shower development in the ATLAS barrel combined prototype calorimeter consisting of the lead-liquid argon electromagnetic part and the iron-scintillator hadronic part. The results have been obtained on the basis of the 1996 combined test beam data which have been taken on the H8 beam of the CERN SPS, with the pion beams of 10, 20, 40, 50, 80, 100, 150 and 300 GeV/c. The degree of description of generally accepted Bock parameterization of the longitudinal shower development has been investigated. It is shown that this parameterization does not give satisfactory description for this combined calorimeter. Some modification of this parameterization, in which the e/h ratios of the compartments of the combined calorimeter are used, is suggested and compared with the experimental data. The agreement between such parameterization and the experimental data is demonstrated.Comment: Latex, 21 pages, 10 figure

    Non-compensation of an Electromagnetic Compartment of a Combined Calorimeter

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    The method of extraction of the e/he/h ratio, the degree of non-compensation, of the electromagnetic compartment of the combined calorimeter is suggested. The e/he/h ratio of 1.74Β±0.041.74\pm0.04 has been determined on the basis of the 1996 combined calorimeter test beam data. This value agrees with the prediction that e/h>1.7e/h > 1.7 for this electromagnetic calorimeter.Comment: LATEX, 17 pages, 7 figure

    Non-perturbative proton stability

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    Proton decay is a generic prediction of GUT models and is therefore an important channel to detect the existence of unification or to set limits on GUT models. Current bounds on the proton lifetime are around 10^33 years, which sets stringent limits on the GUT scale. These limits are obtained under `reasonable' assumptions about the size of the hadronic matrix elements. In this paper we present a non-perturbative calculation of the hadronic matrix elements within the chiral bag model of the proton. We argue that there is an exponential suppression of the matrix elements, due to non-perturbative QCD, that stifles proton decay by orders of magnitude -- potentially O(10^-10). This suppression is present for small quark masses and is due to the chiral symmetry breaking of QCD. Such a suppression has clear implications for GUT models and could resuscitate several scenarios
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