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We elaborate on the recently proposed static brane world scenario, where the effective 4-D cosmological constant is exponentially small when parallel 3-branes are far apart. We extend this result to a compactified model with two positive…

High Energy Physics - Theory · Physics 2009-10-31 Eanna Flanagan , Nicholas Jones , Horace Stoica , S. -H. Henry Tye , Ira Wasserman

Understanding and predicting complex dynamics in accelerators is necessary for their successful operation. A grand challenge in accelerator physics is to develop predictive virtual accelerators that mitigate design cost and schedule risk.…

Accelerator Physics · Physics 2024-10-21 Liam A. Pocher , Irving Haber , Thomas M. Antonsen , Patrick G. O'Shea

Cosmological consequences of the brane world scenario are reviewed in a pedagogical manner. According to the brane world idea, the standard model particles are confined on a hyper--surface (a so--called brane), which is embedded in a…

High Energy Physics - Theory · Physics 2011-07-19 Philippe Brax , Carsten van de Bruck

Writing high performance solvers for engineering applications is a delicate task. These codes are often developed on an application to application basis, highly optimized to solve a certain problem. Here, we present our work on developing a…

Computational Engineering, Finance, and Science · Computer Science 2018-08-14 Niclas Jansson , Rahul Bale , Keiji Onishi , Makoto Tsubokura

Mathematical modelling allows us to concisely describe fundamental principles in biology. Analysis of models can help to both explain known phenomena, and predict the existence of new, unseen behaviours. Model analysis is often a complex…

Quantitative Methods · Quantitative Biology 2020-08-13 Mark Blyth , Ludovic Renson , Lucia Marucci

The supercomputing platforms available for high performance computing based research evolve at a great rate. However, this rapid development of novel technologies requires constant adaptations and optimizations of the existing codes for…

High Energy Physics - Lattice · Physics 2017-02-23 Marina Krstic Marinkovic , Luka Stanisic

We introduce BayesChange, a computationally efficient R package, built on C++, for Bayesian change point detection and clustering of observations sharing common change points. While many R packages exist for change point analysis,…

Computation · Statistics 2025-11-10 Luca Danese , Riccardo Corradin , Andrea Ongaro

If the dynamics of an evolutionary differential equation system possess a low-dimensional, attracting, slow manifold, there are many advantages to using this manifold to perform computations for long term dynamics, locating features such as…

Computational Physics · Physics 2007-05-23 C. W. Gear , I. G. Kevrekidis

Braneworld models in extra dimensions can be tested in laboratory by the coupling of the radion to the Standard Model fields. The identification of the radion as a canonically normalized field involves a careful General Relativity…

High Energy Physics - Phenomenology · Physics 2009-11-10 Lev Kofman , Johannes Martin , Marco Peloso

We develop a general framework to discover scientific algorithms and apply it to three problems in computational cosmology. Our code, MadEvolve, is similar to Google's AlphaEvolve, but places a stronger emphasis on free parameters and their…

Cosmology and Nongalactic Astrophysics · Physics 2026-02-19 Tianyi Li , Shihui Zang , Moritz Münchmeyer

The Maximum Balanced Biclique Problem (MBBP) is a prominent model with numerous applications. Yet, the problem is NP-hard and thus computationally challenging. We propose novel ideas for designing effective exact algorithms for MBBP.…

Discrete Mathematics · Computer Science 2017-05-23 Yi Zhou , André Rossi , Jin-Kao Hao

Many problems in science and engineering involve time-dependent, high dimensional datasets arising from complex physical processes, which are costly to simulate. In this work, we propose WeldNet: Windowed Encoders for Learning Dynamics, a…

Machine Learning · Statistics 2025-12-15 Biraj Dahal , Jiahui Cheng , Hao Liu , Rongjie Lai , Wenjing Liao

We review recent progress in computational methods for studying the dynamical evolution of large star clusters. After describing some highlights of a new comparison of different models, including N-body models, we mention in detail recent…

Astrophysics · Physics 2007-05-23 D. C. Heggie , M. Giersz , R. Spurzem , K. Takahashi

We present a fitting formula for the non-linear evolution of the bispectrum in CDM models, obtained from measurements in high resolution numerical simulations. The formula interpolates between the perturbative and highly non-linear regimes,…

Astrophysics · Physics 2009-10-31 Roman Scoccimarro , H. M. P. Couchman

The general procedure for analyzing the localization of matter fields in Brane models is by integrating, in the action, its zero mode solutions over the extra dimensions. If this is finite, the field is said to be localized. However, the…

High Energy Physics - Theory · Physics 2020-05-26 L. F. F. Freitas , G. Alencar , R. R. Landim

We derive a system of cosmological equations for a braneworld with induced curvature which is a junction between several bulk spaces. The permutation symmetry of the bulk spaces is not imposed, and the values of the fundamental constants,…

General Relativity and Quantum Cosmology · Physics 2008-11-26 Yuri Shtanov , Alexander Viznyuk , Luis Norberto Granda

In this work we consider Randall-Sundrum brane-world type scenarios, in which the spacetime is described by a five-dimensional manifold with matter fields confined in a domain wall or three-brane. We present the results of a systematic…

High Energy Physics - Theory · Physics 2009-11-07 Antonio Campos , Carlos F. Sopuerta

Recent developments in the physics of extra dimensions have opened up new avenues to test such theories. We review cosmological aspects of brane world scenarios such as the Randall--Sundrum brane model and two--brane systems with a bulk…

High Energy Physics - Theory · Physics 2008-11-26 Philippe Brax , Carsten van de Bruck , Anne--Christine Davis

System identification of complex and nonlinear systems is a central problem for model predictive control and model-based reinforcement learning. Despite their complexity, such systems can often be approximated well by a set of linear…

Machine Learning · Statistics 2019-05-30 Philip Becker-Ehmck , Jan Peters , Patrick van der Smagt

PSpectRe is a C++ program that uses Fourier-space pseudo-spectral methods to evolve interacting scalar fields in an expanding universe. PSpectRe is optimized for the analysis of parametric resonance in the post-inflationary universe, and…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-18 Richard Easther , Hal Finkel , Nathaniel Roth
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