6,613 research outputs found
Short Range Interactions in the Hydrogen Atom
In calculating the energy corrections to the hydrogen levels we can identify
two different types of modifications of the Coulomb potential , with one
of them being the standard quantum electrodynamics corrections, ,
satisfying over the whole range of
the radial variable . The other possible addition to is a potential
arising due to the finite size of the atomic nucleus and as a matter of fact,
can be larger than in a very short range. We focus here on the latter
and show that the electric potential of the proton displays some undesirable
features. Among others, the energy content of the electric field associated
with this potential is very close to the threshold of pair production.
We contrast this large electric field of the Maxwell theory with one emerging
from the non-linear Euler-Heisenberg theory and show how in this theory the
short range electric field becomes smaller and is well below the pair
production threshold
Corporate bonds, asset-backed securities and deferred checks in Argentina
We describe the evolution of three types of corporate securities in Argentina, namely, corporate bonds, asset-backed securities and deferred checks. Corporate bonds (obligaciones negociables) were legally authorized in 1988, and after a tax reform in 1991 they became an important financing vehicle. Asset backed securities (fideicomisos), legally created in 1995, have been issued since 1996. They typically bundle together small credits of a similar category. Deferred checks (cheques de pago diferido) exist since 1993, alongside standard checks. They can be negotiated on the exchange since 2003, and are akin to commercial paper. Corporate bonds have been overwhelmingly issued by large firms and banks, with an average issue size of 53 million dollars. Asset backed securities have an average value of 9 million dollars. Deferred checks are typically used by smaller firms, and those traded on the exchange of the Buenos Aires board of trade have an average value of 9 thousand dollars.private securities, corporate bonds, asset-backed securities, deferred checks
Phase diagram of silicon from atomistic simulations
In this letter we present a calculation of the temperature-pressure phase
diagram of Si in a range of pressures covering from -5 to 20 GPa and
temperatures up to the melting point. The phase boundaries and triple points
between the diamond, liquid, -Sn and clathrate phases are
reported. We have employed efficient simulation techniques to calculate free
energies and to numerically integrate the Clausius-Clapeyron equation, combined
with a tight binding model capable of an accuracy comparable to that of
first-principles methods. The resulting phase diagram agrees well with the
available experimental data.Comment: 5 pages, 1 figure, accepted in PR
Lorentz Contracted Proton
The proton charge and magnetization density distributions can be related to
the well known Sachs electromagnetic form factors
through Fourier transforms, only in the Breit frame. The Breit frame however
moves with relativistic velocities in the Lab and a Lorentz boost must be
applied to the form factors before extracting the static properties of the
proton from the corresponding densities. Apart from this, the Fourier transform
relating the densities and form factors is inherently a non-relativistic
expression. We show that the relativistic corrections to it can be obtained by
extending the standard Breit equation to higher orders in its
expansion. We find that the inclusion of the above corrections reduces the size
of the proton determined from electron proton scattering data. Indeed the
central value of the latest proton radius of fm as determined
from e-p scattering changes to fm after applying corrections.Comment: 15 page
New biparametric families of apostol-frobenius-euler polynomials of level m
We introduce two biparametric families of Apostol-Frobenius-Euler polynomials of level-mm. We give some algebraic properties, as well as some other identities which connect these polynomial class with the generalized λλ-Stirling type numbers of the second kind, the generalized Apostol--Bernoulli polynomials, the generalized Apostol--Genocchi polynomials, the generalized Apostol--Euler polynomials and Jacobi polynomials. Finally, we will show the differential properties of this new family of polynomials
Unsupervised learning models-based CRM anomaly detection using GPU
Deep learning models have improved several business intelligence tools like Customer relationship Management(CRM) systems. However, those models have increased the need for advanced computational capacity and infrastructure. Modern accelerators are starting to have floating-point precision arithmetic problems generated by highly streamlined systems, powered by the need to process an ever-increasing volume of data and increasingly complex models to attend to the necessity to identify customer data that allow consolidating products or services. We focus on CRM anomalies detection using GPU(Graphics Processor Unit) because they are a relevant source of money drain for organizations and directly affect the relationship between clients and suppliers. Our results present the combination of deep learning models with a computational structure that could access by organizations, but with a combination that reduces the number of features that achieve answers to CRM system.#AnáliticaDeDatosLos modelos de aprendizaje profundo han mejorado varias herramientas de inteligencia empresarial, como los sistemas de gestión de relaciones con el cliente (CRM). Sin embargo, esos modelos han aumentado la necesidad de infraestructura y capacidad computacional avanzada. Los aceleradores modernos están comenzando a tener problemas aritméticos de precisión de punto flotante generados por sistemas altamente optimizados, impulsados por la necesidad de procesar un volumen cada vez mayor de datos y modelos cada vez más complejos para atender la necesidad de identificar datos de clientes que permitan consolidar productos o servicios. . Nos enfocamos en la detección de anomalías de CRM utilizando GPU (Graphics Processor Unit) porque son una fuente relevante de drenaje de dinero para las organizaciones y afectan directamente la relación entre clientes y proveedores. Nuestros resultados presentan la combinación de modelos de aprendizaje profundo con una estructura computacional a la que podrían acceder las organizaciones, pero con una combinación que reduce la cantidad de funcionalidades que logran respuestas al sistema CRM
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