384 research outputs found
Static Properties of Trapped Bose Gases at Finite Temperature: I. Thomas- Fermi Limit
We rely on a variational approach to derive a set of equations governing a
trapped self-interacting Bose gas at finite temperature. In this work, we
analyze the static situation both at zero and finite temperature in the
Thomas-Fermi limit. We derive simple analytic expressions for the condensate
properties at finite temperature. The noncondensate and anomalous density
profiles are also analyzed in terms of the condensate fraction. The results are
quite encouraging owing to the simplicity of the formalism.Comment: 11 pages, 9 figures, revised versio
BEC From a Time-Dependent Variational Point of View
We use the time-dependent variational of Balian and Veneroni to derive a set
of equations governing the dynamics of a trapped Bose gas at finite
temperature. We show that this dynamics generalizes the Gross-Pitaevskii
equations in that it introduces a consistent coupling between the evolution of
the condensate density, the thermal cloud and the anomalous density.Comment: 13 page
Anomalous Effects in a Trapped Bose-Einstein Condensate
We study the anomalous density in an ultra-cold trapped bose gas in a
variational framework, for both zero and finite temperature. We show that it is
finite in 1D, while it is logarithmically and linearly divergent in 2D and 3D.
The renormalization that we adopt is more reliable and compatible with the
variational scheme. The main outcome is that the anomalous and non condensate
densities are of theComment: 14 page
Almond variety detection using deep learning
Quality is the major factor for modern industries because the high-quality of
products is the basis for success in today’s highly competitive market, so improving
the product quality is not a choice is paramount to any business to be
even competitive.
This thesis aims to solve one of the many problems that exist in today’s market,
with regard to the quality and how to evaluate the quality before putting
the product in the market.
We have implemented a Deep-learning based technique that helps classify/identify
almonds based only on their visual features, this can help in many ways from
which we can mention: supply chain optimization, Sorting food, and matching
customer taste . . . .
In the conclusion of this thesis, we propose many features that can be developed
that can be added to our model, from scaling it to other products, to
deploying it, in order to reach the full potential of our solution.A qualidade Ă© o principal fator para as indĂşstrias modernas porque a alta qualidade
dos produtos Ă© a base para o sucesso no mercado altamente competitivo
de hoje, portanto, melhorar a qualidade do produto nĂŁo Ă© uma escolha Ă© fundamental
para qualquer empresa ser ainda competitiva.
Esta tese visa solucionar um dos muitos problemas que existem no mercado
atual, no que diz respeito Ă qualidade e como avaliar a qualidade antes de colocar
o produto no mercado.
Implementamos uma técnica baseada em aprendizagem profunda que ajuda a
classificar / identificar amĂŞndoas com base apenas em seus recursos visuais, isso
pode ajudar de várias maneiras, das quais podemos mencionar: otimização da
cadeia de fornecimento, classificação automática de alimentos e resposta personalizada/
adaptada ao cliente.
Na conclusĂŁo desta tese, propomos muitos recursos que podem ser desenvolvidos
e que podem ser adicionados ao nosso modelo, desde o dimensionamento
para outros produtos, até a implantação, a fim de atingir todo o potencial
da nossa solução
Relationship between Economic Growth and Unemployment Rates in the Algerian Economy: Application of Okun’s Law during 1991–2019
This paper aims to examine the Algerian economy by applying Okun’s law to study the impact of real GDP on unemployment rates and examine the impact of labour market protection policies on Okun’s coefficients. The annual data on the Algerian economy for the period 1991–2019 were used. The autoregressive distributed lag (ARDL) bounds testing technique model was used in conjunction with the gap version for Okun’s coefficients. The empirical results show that Okun’s law operates in Algeria’s economy. Coefficients estimated using the gap version led to the conclusion that there was a negative and significant impact of the GDP gap on unemployment rates. Though there was a decline in unemployment as GDP increased, the rise in employment was very weak for each 1% increase in the GDP. These findings should be of significant interest to regulators and policymakers in the Algerian economy, practitioners and academic researchers, international and national investors, managers and any other groups interested in the labour market in the Algerian economy and the labour markets of other developing economies. The paper provides the real GDP’s effect on unemployment rates in Algeria by releasing the gap version for Okun’s coefficient. Also, it provides evidence that increased labour market protection mitigates the adverse effects of a decrease in output growth rate on employment
The Poisson structure of the mean-field equations in the Phi^4 theory
We show that the mean-field time dependent equations in the Phi^4 theory can
be put into a classical non-canonical hamiltonian framework with a Poisson
structure which is a generalization of the standard Poisson bracket. The
Heisenberg invariant appears as a structural invariant of the Poisson tensor.
(To be pubished in Annals of Physics)Comment: 12 pages Te
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