3,302 research outputs found

    The self-energy of a charged particle in the presence of a topological defect distribution

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    In this work we study a charged particle in the presence of both a continuous distribution of disclinations and a continuous distribution of edge dislocations in the framework of the geometrical theory of defects. We obtain the self-energy for a single charge both in the internal and external regions of either distribution. For both distributions the result outside the defect distribution is the self-energy that a single charge experiments in the presence of a single defect.Comment: 12 pages, Revtex4, two figures,to appear in Int. Joun. Mod. Phys.

    Validation of the Lower Tagus Valley velocity and structural model using ambient noise broadband measurements

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    Along his history the Lower Tagus Valley (LTV) region was shaken by several earthquakes, some of them were produced in large ruptures of offshore structures located southwest of the Portuguese coastline, among these we the Lisbon earthquake of 1 November 1755; other moderates earthquakes were produced by local sources such as the 1344, 1531 and the 1909 Benavente earthquake. In order to promote an improved assessment of the seismic hazard in this region, we propose the introduction of realistic methods on the prediction of ground motion produced by moderate to large earthquakes in LTV. This process involves the establishment of a structural 3D model based on all the available geophysical and geotechnical data on the area (seismic, gravimetric, deep wells and geological outcrops) and the determination of wave propagation from a finite difference method: by applying the E3D program [1,2]. To confirm this model we use broadband ambient noise measurements collected in two profiles with azimuth perpendicular to the basin axis and we applied the horizontal to vertical (H/V) spectral ratio method [3] to the recordings in order to estimate the amplification of the basin. The H/V curves obtained reveals the existence of two low frequency peaks centered on 0.2 a 1 Hz frequencies[4]. These peaks are strongly related with the thickness of Cenozoic and alluvial sediments. By inversion of the H/V curve, we obtain a more detailed velocity model for the region where the profile were determined, which is in good agreement with borehole data and other results obtained with magnetic and seismic reflection methods

    Gravitational Geometric Phase in the Presence of Torsion

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    We investigate the relativistic and non-relativistic quantum dynamics of a neutral spin-1/2 particle submitted an external electromagnetic field in the presence of a cosmic dislocation. We analyze the explicit contribution of the torsion in the geometric phase acquired in the dynamic of this neutral spinorial particle. We discuss the influence of the torsion in the relativistic geometric phase. Using the Foldy-Wouthuysen approximation, the non-relativistic quantum dynamics are studied and the influence of the torsion in the Aharonov-Casher and He-McKellar-Wilkens effects are discussed.Comment: 14 pages, no figur

    Teste de avaliação do metabolismo espermático em ovinos.

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    Apresenta técnicas adotadas para avaliação da qualidade do sêmen, uma que seja de alta precisão, de simples adoção e que não requeira treinamento especializado, favorecendo as atividades de veterinários e de criadores de ovinos.bitstream/CNPC/20247/1/cot71.pd

    Image Subtraction Reduction of Open Clusters M35 & NGC 2158 In The K2 Campaign-0 Super-Stamp

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    Observations were made of the open clusters M35 and NGC 2158 during the initial K2 campaign (C0). Reducing these data to high-precision photometric time-series is challenging due to the wide point spread function (PSF) and the blending of stellar light in such dense regions. We developed an image-subtraction-based K2 reduction pipeline that is applicable to both crowded and sparse stellar fields. We applied our pipeline to the data-rich C0 K2 super-stamp, containing the two open clusters, as well as to the neighboring postage stamps. In this paper, we present our image subtraction reduction pipeline and demonstrate that this technique achieves ultra-high photometric precision for sources in the C0 super-stamp. We extract the raw light curves of 3960 stars taken from the UCAC4 and EPIC catalogs and de-trend them for systematic effects. We compare our photometric results with the prior reductions published in the literature. For detrended, TFA-corrected sources in the 12--12.25 Kp\rm K_{p} magnitude range, we achieve a best 6.5 hour window running rms of 35 ppm falling to 100 ppm for fainter stars in the 14--14.25 Kp \rm K_{p} magnitude range. For stars with Kp>14\rm K_{p}> 14, our detrended and 6.5 hour binned light curves achieve the highest photometric precision. Moreover, all our TFA-corrected sources have higher precision on all time scales investigated. This work represents the first published image subtraction analysis of a K2 super-stamp. This method will be particularly useful for analyzing the Galactic bulge observations carried out during K2 campaign 9. The raw light curves and the final results of our detrending processes are publicly available at \url{http://k2.hatsurveys.org/archive/}.Comment: Accepted for publication in PASP. 14 pages, 5 figures, 2 tables. Light curves available from http://k2.hatsurveys.org/archive

    Sistema automático para inspecção visual de defeitos em tecidos

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    Pretende-se com esta comunicação apresentar o trabalho desenvolvido no âmbito da Campanha Têxtil do IDICT, onde se aplicaram algoritmos de processamento de imagem à inspecção de defeitos em tecidos. Devido à complexidade do problema em estudo foi necessário construir um sistema de iluminação estruturada para garantir luminosidade constante no tecido a inspeccionar. Um sistema de captura e processamento de imagens a cores foi desenvolvido, para o sistema operativo Windows 98, tendo por base a placa de aquisição Matrox Meteor II e o software Microsoft Visual C++. Após a conversão de imagens a cores em níveis de cinzento foram desenvolvidos algoritmos de binarização, baseados em análise estatística e morfologia matemática. Os algoritmos desenvolvidos abrangem os seguintes defeitos em tecidos: falta de fio, fio grosso, fio duplo, borboto, mancha e nódoa. Para cada tecido a inspecionar é necessário um período de treino do sistema de forma a identificar os parâmetros estatísticos que o caracterizam, média e desvio padrão dos níveis de cinzento. O sistema inspecciona de forma automática os defeitos descritos em tecidos penteados de uma só cor, tendo sido obtidos resultados bastante satisfatórios para o número de tecidos disponibilisados pelas empresas da região
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