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The application of deep learning techniques using convolutional neural networks to the classification of particle collisions in High Energy Physics is explored. An intuitive approach to transform physical variables, like momenta of…

Computer Vision and Pattern Recognition · Computer Science 2017-08-24 Celia Fernández Madrazo , Ignacio Heredia Cacha , Lara Lloret Iglesias , Jesús Marco de Lucas

The quadratic Mandelbrot set has been referred to as the most complex and beautiful object in mathematics and the Riemann Zeta function takes the prize for the most complicated and enigmatic function. Here we elucidate the spectrum of…

Dynamical Systems · Mathematics 2011-09-26 Chris King

In this work, we introduce a novel method to render, in real-time, Lambertian surfaces with a rough dieletric coating. We show that the appearance of such configurations is faithfully represented with two microfacet lobes accounting for…

Graphics · Computer Science 2022-03-23 Héloïse de Dinechin , Laurent Belcour

Interferometric scattering microscopy is a powerful technique that enables various applications, such as mass photometry and particle tracking. Here we present a numerical toolbox to simulate images obtained in interferometric scattering,…

We describe a new method to construct Laplacians on fractals using a Peano curve from the circle onto the fractal, extending an idea that has been used in the case of certain Julia sets. The Peano curve allows us to visualize eigenfunctions…

Functional Analysis · Mathematics 2016-01-20 Denali Molitor , Nadia Ott , Robert Strichartz

Interactions of virtual photons are analyzed in terms of photon structure. It is argued that the concept of parton distribution functions is phenomenologically very useful even for highly virtual photons involved in hard collisions. The…

High Energy Physics - Phenomenology · Physics 2007-05-23 Jiri Chyla , Marek Tasevsky

This book chapter describes how spectral correlations in scattered light fields can be utilized for high-precision time-of-flight sensing. The chapter should serve as a gentle introduction and is intended for computational imaging…

Optics · Physics 2022-09-13 Florian Willomitzer

Complex fission phenomena are studied in a unified way. Very general reflection asymmetrical equilibrium (saddle point) nuclear shapes are obtained by solving an integro-differential equation without being necessary to specify a certain…

Nuclear Theory · Physics 2009-11-10 D. N. Poenaru , R. A. Gherghescu , W. Greiner

We consider fractal percolation (or Mandelbrot percolation) which is one of the most well studied example of random Cantor sets. Rams and the first author studied the projections (orthogonal, radial and co-radial) of fractal percolation…

Dynamical Systems · Mathematics 2020-04-28 Károly Simon , Lajos Vágó

Deterministic and random fractals, within the framework of Iterated Function Systems, have been used to model and study a wide range of phenomena across many areas of science and technology. However, for many applications deterministic…

Probability · Mathematics 2016-08-16 Michael Barnsley , John E. Hutchinson , Örjan Stenflo

In this paper I survey some recent results on finite determination, convergence, and approximation of formal mappings between real submanifolds in complex spaces. A number of conjectures are also given.

Complex Variables · Mathematics 2007-05-23 Linda Preiss Rothschild

The present work proposes the development of a novel method to provide descriptors for colored texture images. The method consists in two steps. In the first, we apply a linear transform in the color space of the image aiming at…

Data Analysis, Statistics and Probability · Physics 2012-02-21 João Batista Florindo , Odemir Martinez Bruno

Experimental analysis of cavitation bubble dynamics typically uses optical imaging. However, images are often severely affected by distortions and shadows due to refraction and total reflection at the liquid--gas interface. Here it is shown…

We consider two non-linear generalizations of fractal interpolating functions generated from iterated function systems. The first corresponds to fitting data using a Kth-order polynomial, while the second relates to the freedom of adding…

Chaotic Dynamics · Physics 2007-05-23 R. Kobes , H. Letkeman

Image-based lighting is a widely used technique to reproduce shading under real-world lighting conditions, especially in real-time rendering applications. A particularly challenging scenario involves materials exhibiting a sparkling or…

Graphics · Computer Science 2025-07-04 Tom Kneiphof , Reinhard Klein

Particle-based representations of radiance fields such as 3D Gaussian Splatting have found great success for reconstructing and re-rendering of complex scenes. Most existing methods render particles via rasterization, projecting them to…

In this article, we present a distance estimation formula that can be used to ray trace 3D slices of the filled-in Julia sets and the Multibrot sets generated by the tricomplex polynomials of the form $\eta^p+c$ where $p$ is any integer…

Dynamical Systems · Mathematics 2024-04-30 Pierre-Olivier Parisé , Guillaume Brouillette , Dominic Rochon

Multipole expansion of an incident radiation field - that is, representation of the fields as sums of vector spherical wavefunctions - is essential for theoretical light scattering methods such as the T-matrix method and generalised…

Optics · Physics 2007-05-23 T. A. Nieminen , H. Rubinsztein-Dunlop , N. R. Heckenberg

With the goal to refine modelling of shell galaxies and the use of shells to probe the merger history, we develop a new method for implementing dynamical friction in test-particle simulations of radial minor mergers. The friction is…

Astrophysics of Galaxies · Physics 2011-03-23 Ivana Ebrova , Bruno Jungwiert , Gabriela Canalizo , Nicola Bennert , Lucie Jilkova

Heavy-ion collisions can be simulated by means of comprehensive approaches, to include the many different reaction mechanisms which may contribute. QMD models and their relativistic extensions are examples of these approaches based on Monte…