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A novel variant of the \emph{residual-free bubble} method (RFB) for advection dominated problems is presented. Since the usual RFB still suffers from oscillations and strong under/overshoots, the bubble space is enriched by \emph{patch…

Numerical Analysis · Mathematics 2025-12-30 Eberhard Bänsch , Pedro Morin , Itatí Zocola

Eternally inflating universes can contain large thermalized regions with different values of the constants of Nature and with different density fluctuation spectra. To find the probability for a `typical' observer to detect a certain set of…

General Relativity and Quantum Cosmology · Physics 2009-10-28 Alexander Vilenkin

To locate the position and characterize the dynamics of a vacancy in a crystal, we propose to represent it by the ground state density of a quantum probe quasi-particle for the Hamiltonian associated to the potential energy field generated…

Materials Science · Physics 2013-06-04 Pierre-Antoine Geslin , Giovanni Ciccotti , Eric Vanden-Eijnden , Simone Meloni

It appears difficult to construct a simple model for an open universe based on the one bubble inflationary scenario. The reason is that one needs a large mass to avoid the tunneling via the Hawking Moss solution and a small mass for…

High Energy Physics - Phenomenology · Physics 2009-10-31 Kazuya Koyama , Kayoko Maeda , Jiro Soda

The nuclear breathing-mode giant monopole resonance is studied within an improved relativistic Boltzmann-Uehling-Uhlenbeck (BUU) transport approach. As a new feature, the numerical treatment of ground state nuclei and their phase-space…

Nuclear Theory · Physics 2015-03-13 T. Gaitanos , A. B. Larionov , H. Lenske , U. Mosel

We prove a quantitative mixing estimate for the Cauchy problem for transport along divergence-free vector fields with bounded variation. By developing a framework that quantifies Ambrosio's regularisation scheme, we derive the first…

Analysis of PDEs · Mathematics 2025-04-07 Lucas Huysmans , Ayman Rimah Said

Human body volume estimation from a single RGB image is a challenging problem despite minimal attention from the research community. However VolNet, an architecture leveraging 2D and 3D pose estimation, body part segmentation and volume…

Computer Vision and Pattern Recognition · Computer Science 2021-07-07 Fabian Leinen , Vittorio Cozzolino , Torsten Schön

The analysis of mixed data has been raising challenges in statistics and machine learning. One of two most prominent challenges is to develop new statistical techniques and methodologies to effectively handle mixed data by making the data…

Machine Learning · Computer Science 2017-08-21 Tu Dinh Nguyen , Truyen Tran , Dinh Phung , Svetha Venkatesh

Neural radiance fields (NeRF) rely on volume rendering to synthesize novel views. Volume rendering requires evaluating an integral along each ray, which is numerically approximated with a finite sum that corresponds to the exact integral…

Computer Vision and Pattern Recognition · Computer Science 2024-01-22 Mikaela Angelina Uy , Kiyohiro Nakayama , Guandao Yang , Rahul Krishna Thomas , Leonidas Guibas , Ke Li

The observation of fluid-like behavior in nucleus-nucleus, proton-nucleus and high-multiplicity proton-proton collisions motivates systematic studies of how different measurements approach their fluid-dynamic limit. We have developed…

High Energy Physics - Phenomenology · Physics 2020-11-11 Aleksi Kurkela , Seyed Farid Taghavi , Urs Achim Wiedemann , Bin Wu

We consider a very simple toy model for a spatially varying `cosmological constant', where we are inside a spherical bubble (with a given set of cosmological parameters) that is surrounded by a larger region where these parameters are…

Astrophysics · Physics 2009-11-06 P. P. Avelino , J. P. M. de Carvalho , C. J. A. P. Martins

We discuss the phenomenon of universal fluctuations in mesoscopic systems and nuclei. For this purpose we use Random Matrix Theory (RMT). The statistical $S$-matrix is used to obtain the physical observables in the case of Quantum Dots,…

Mesoscale and Nanoscale Physics · Physics 2018-05-29 M. S. Hussein , J. G. G. S. Ramos

The linear regression model with a random variable (RV) measurement matrix, where the mean of the random measurement matrix has full column rank, has been extensively studied. In particular, the quasiconvexity of the maximum likelihood…

Signal Processing · Electrical Eng. & Systems 2025-07-16 Ruohai Guo , Jiang Zhu , Xing Jiang , Fengzhong Qu

Predictions in an eternally inflating multiverse are meaningless unless we specify the probability measure. The scale-factor cutoff is perhaps the simplest and most successful measure which avoid catastrophic problems such as the youngness…

High Energy Physics - Theory · Physics 2020-02-19 Alexander Vilenkin , Masaki Yamada

We calculate bubble-nucleation rates for (2+1)-dimensional scalar theories at high temperature. Our approach is based on the notion of a real coarse-grained potential. The region of applicability of our method is determined through internal…

High Energy Physics - Phenomenology · Physics 2009-10-09 Alessandro Strumia , Nikolaos Tetradis

We have proposed a method to calculate the relative magnetic helicity in a finite volume as given the magnetic field in the former paper (Yang et al. {\it Solar Physics}, {\bf 283}, 369, 2013). This method requires that the magnetic flux to…

Solar and Stellar Astrophysics · Physics 2013-04-15 Shangbin Yang , Jörg Büchner , Jean Carlo Santos , Hongqi Zhang

The formulation of a universal theory for bulk viscosity and heat conduction represents a theoretical challenge for our understanding of relativistic fluid dynamics. Recently, it has been shown that the multifluid variational approach…

General Relativity and Quantum Cosmology · Physics 2020-10-15 Lorenzo Gavassino , Marco Antonelli , Brynmor Haskell

We summarize recent work on the consistent calculation of bubble-nucleation rates. Our approach is based on the notion of a real coarse-grained potential. The bubble-nucleation rate is calculated through an expansion around the…

High Energy Physics - Phenomenology · Physics 2007-05-23 N. Tetradis

In many linear inverse problems, we want to estimate an unknown vector belonging to a high-dimensional (or infinite-dimensional) space from few linear measurements. To overcome the ill-posed nature of such problems, we use a low-dimension…

Information Theory · Computer Science 2017-07-18 Yann Traonmilin , Gilles Puy , Rémi Gribonval , Mike Davies

It appears difficult to construct a simple model for an open universe based on the one bubble inflationary scenario. The reason is that one needs a large mass to avoid the tunneling via the Hawking Moss solution and a small mass for…

General Relativity and Quantum Cosmology · Physics 2007-05-23 Kazuya Koyama , Kayoko Maeda , Jiro Soda
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