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Related papers: Reflective ability and its energy dependence

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Artificial Intelligence (AI) is about making computers that do the sorts of things that minds can do, and as we progress towards this goal, we tend to increasingly delegate human tasks to machines. However, AI systems usually do these tasks…

Artificial Intelligence · Computer Science 2024-06-12 Peter R. Lewis , Stefan Sarkadi

Many types of new physics can lead to contact interaction-like modifications in $e^+e^-$ processes below direct production threshold. This report summarizes a survey of contact interaction search reaches at the Linear Collider as functions…

High Energy Physics - Phenomenology · Physics 2007-05-23 Thomas G. Rizzo

A model of holographic dark energy with an interaction with matter fields has been investigated. Choosing the future event horizon as an IR cutoff, we have shown that the ratio of energy densities can vary with time. With the interaction…

High Energy Physics - Theory · Physics 2009-11-11 Bin Wang , Yungui Gong , Elcio Abdalla

In this work we develop an algebraic theory of linear recurrence equations and systems with constant coefficients and reflection. We obtain explicit solutions and the Green's functions associated to different problems under general linear…

Classical Analysis and ODEs · Mathematics 2019-09-10 F. Adrián F. Tojo

Recurrent representations for an electron transmission and reflection amplitudes for a one-dimensional chain are obtained. The linear differential equations for scattering amplitudes of an arbitrary potential are found.

Condensed Matter · Physics 2009-10-31 David M. Sedrakian , Ashot Zh. Khachatrian

Rapid modulation of the electromagnetic response in both time and space creates temporal boundaries in the medium and leads to time-reflection and time-refraction of light and to the eventual formation of the photonic time crystal within…

Optics · Physics 2024-10-01 Evgenii E. Narimanov

Given a partial action $\theta$ of a group on a set with an algebraic structure, we construct a reflector of $\theta$ in the corresponding subcategory of global actions and study the question when this reflector is a globalization. In…

Category Theory · Mathematics 2017-05-12 Mykola Khrypchenko , Boris Novikov

Adaptive behavior often requires predicting future events. The theory of reinforcement learning prescribes what kinds of predictive representations are useful and how to compute them. This paper integrates these theoretical ideas with work…

Artificial Intelligence · Computer Science 2024-07-12 Wilka Carvalho , Momchil S. Tomov , William de Cothi , Caswell Barry , Samuel J. Gershman

We extend the relativistic plane--wave impulse approximation formalism to incorporate a specific class of relativistic interference effects for use in describing inclusive electrodisintegration of $^2$H. The role of these ``exchange'' terms…

Nuclear Theory · Physics 2009-10-22 G. I. Poulis , T. W. Donnelly

In cognitive science, behaviour is often separated into two types. Reflexive control is habitual and immediate, whereas reflective is deliberative and time consuming. We examine the argument that Hierarchical Predictive Coding (HPC) can…

Artificial Intelligence · Computer Science 2021-09-03 Paul F. Kinghorn , Beren Millidge , Christopher L. Buckley

Correlation effects of an electron gas in an external potential are derived using an Effective Action functional method. Corrections beyond the random phase approximation (RPA) are naturally incorporated by this method. The Effective Action…

Materials Science · Physics 2009-11-10 A. Rebei , W. N. G. Hitchon

We theoretically study the influence of laser polarization in inelastic scattering of electrons by hydrogen atoms in the presence of a circularly polarized laser field in the domain of field strengths below $10^{7}$ V/cm and high projectile…

Atomic Physics · Physics 2023-06-16 Gabriela Buică

Upon the excitation by an ultrashort laser pulse the conditions in a material can drastically change, altering its optical properties and therefore the relative amount of absorbed energy, a quan- tity relevant for determining the damage…

To enhance the interpretability of Reinforcement Learning (RL), we propose Revealing Evolutionary Action Consequence Trajectories (REACT). In contrast to the prevalent practice of validating RL models based on their optimal behavior learned…

Machine Learning · Computer Science 2024-04-05 Philipp Altmann , Céline Davignon , Maximilian Zorn , Fabian Ritz , Claudia Linnhoff-Popien , Thomas Gabor

Prediction capability is considered an important issue in response surface methodology. Following the line of argument that a design should have several desirable properties we have extended an existing compound design criterion to include…

Above-barrier reflection of cold alkali atoms by resonant laser light was considered analytically within the Gross-Pitaevskii approximation. Correction for the reflection coefficient because of a weak nonlinearity of the stationary…

Quantum Gases · Physics 2009-11-03 H. A. Ishkhanyan , V. P. Krainov

We develop a dynamical formulation of one-dimensional scattering theory where the reflection and transmission amplitudes for a general, possibly complex and energy-dependent, scattering potential are given as solutions of a set of dynamical…

Quantum Physics · Physics 2015-06-17 Ali Mostafazadeh

We study the effect of unidirectional reflectivity in the bilayer optical model with the balanced loss/gain terms. It was found that if the impedances characterizing the scattering part are different from those describing the leads, a new…

Optics · Physics 2017-08-09 J. Ramirez-Hernandez , F. M. Izrailev , N. M. Makarov

A method is proposed which allows a complete determination of the complex reflection coefficient for any free unknown real potential (i.e., in the case where there is no effective absorption). In this method the unknown layer mounted on top…

Materials Science · Physics 2015-06-24 S. F. Masoudi , A. Pazirandeh

In this treatment a text is considered to be a series of word impulses which are read at a constant rate. The brain then assembles these units of information into higher units of meaning. A classical systems approach is used to model an…

Computation and Language · Computer Science 2007-10-16 James Ford