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Estimating the marginal likelihoods is an essential feature of model selection in the Bayesian context. It is especially crucial to have good estimates when assessing the number of planets orbiting stars when the models explain the noisy…

Earth and Planetary Astrophysics · Physics 2015-06-03 Mikko Tuomi , Hugh R. A. Jones

We study a phenomenological model in which the simulated packing of hard, attractive spheres on a prolate spheroid surface with convexity constraints produces structures identical to those of prolate virus capsid structures. Our simulation…

Soft Condensed Matter · Physics 2009-11-13 Ting Chen , Sharon C. Glotzer

Motivated by long-standing conjectures on the discretization of classical inequalities in the Geometry of Numbers, we investigate a new set of parameters, which we call \emph{packing minima}, associated to a convex body $K$ and a lattice…

Metric Geometry · Mathematics 2021-01-20 Martin Henk , Matthias Schymura , Fei Xue

We present a numerical technique to compute the gravitational lensing induced by simulated haloes. It relies on a 2D-Tree domain decomposition in the lens plane combined with a description of N-Body particles as extended clouds with a…

Astrophysics · Physics 2008-11-26 Dominique Aubert , Adam Amara , R. Benton Metcalf

The simplest models of dark matter halo formation are based on the heuristic assumption, motivated by spherical collapse, that virialized haloes originate from initial regions that are maxima of the smoothed density field. Here, we replace…

Cosmology and Nongalactic Astrophysics · Physics 2021-10-28 Marcello Musso , Ravi K. Sheth

The determination of the densest packings of regular tetrahedra (one of the five Platonic solids) is attracting great attention as evidenced by the rapid pace at which packing records are being broken and the fascinating packing structures…

Statistical Mechanics · Physics 2010-01-02 S. Torquato , Y. Jiao

We numerically study structural properties of mechanically stable packings of hard spheres (HS), in a wide range of packing fractions $0.53 \le \phi \le 0.72$. Detailed structural information is obtained from the analysis of orientational…

Soft Condensed Matter · Physics 2014-07-30 Boris A. Klumov , Yuliang Jin , Hernan A. Makse

This paper introduces an approach for detecting differences in the first-order structures of spatial point patterns. The proposed approach leverages the kernel mean embedding in a novel way by introducing its approximate version tailored to…

Methodology · Statistics 2020-06-15 Raif M. Rustamov , James T. Klosowski

In a previous work arXiv:physics/0611108v2, it was shown that the volume spanned by a molecular system in its conformational space can be effectively bounded by a polyhedral cone, this cone is described by means of a simple combinatorial…

Computational Physics · Physics 2007-10-15 Jacques Gabarro-Arpa

Complete complementarity relations, as e.g. $P(\rho_{A})^{2} + C(\rho_{A})^{2} + E(|\Psi\rangle_{AB})^{2}=1$, constrain the local predictability, $P$, and local coherence, $C$, and the entanglement, $E$, of bipartite pure states. For pairs…

Quantum Physics · Physics 2022-12-13 Jonas Maziero , Marcos L. W. Basso , Lucas C. Céleri

We investigate 3D density and weak lensing profiles of dark matter haloes predicted by a cosmology-rescaling algorithm for $N$-body simulations. We extend the rescaling method of Angulo & White (2010) and Angulo & Hilbert (2015) to improve…

Cosmology and Nongalactic Astrophysics · Physics 2018-07-04 Malin Renneby , Stefan Hilbert , Raúl E. Angulo

We establish a "neighborhood" variant of the cubical KKM lemma and the Lebesgue covering theorem and deduce a discretized version which is a "neighborhood" variant of Sperner's lemma on the cube. The main result is the following: for any…

Combinatorics · Mathematics 2023-06-23 Jason Vander Woude , Peter Dixon , A. Pavan , Jamie Radcliffe , N. V. Vinodchandran

A voxelization based post-processing algorithm is proposed to analyze the packing of non-spherical particle assemblies simulated using the Discrete Element Method. Voxelization of the particle data allows for isolating the geometric…

Soft Condensed Matter · Physics 2021-10-28 Venkata Rama Manoj Pola , Raghuram Karthik Desu , Ratna Kumar Annabattula

Application of K-Means algorithm is restricted by the fact that the number of clusters should be known beforehand. Previously suggested methods to solve this problem are either ad hoc or require parametric assumptions and complicated…

Machine Learning · Computer Science 2019-12-05 Sukavanan Nanjundan , Shreeviknesh Sankaran , C. R. Arjun , G. Paavai Anand

The determination of the densest packings of regular tetrahedra (one of the five Platonic solids) is attracting great attention as evidenced by the rapid pace at which packing records are being broken and the fascinating packing structures…

Statistical Mechanics · Physics 2015-05-18 S. Torquato , Y. Jiao

The article presents the mathematical sequences describing circle packing densities in four different geometric configurations involving a hexagonal lattice based equal circle packing in the Euclidian plane. The calculated sequences take…

Metric Geometry · Mathematics 2024-03-19 Jure Voglar , Aljoša Peperko

We discuss some interesting physical features stemming from our previous analytical study of a simple model of a fluid with dipolar-like interactions of very short range in addition to the usual isotropic Baxter potential for adhesive…

Soft Condensed Matter · Physics 2015-05-14 Domenico Gazzillo , Riccardo Fantoni , Achille Giacometti

In this article there are two main results. The first result gives a formula, in terms of a log resolution, for the graded pieces of the Hodge filtration on the cohomology of a unitary local system of rank one on the complement of an…

Algebraic Geometry · Mathematics 2008-09-27 Nero Budur

For the binary discs packed in two dimensions, the packing fraction of disc assembly becomes lower than that of the monodisperse system when the size ratio is close to unity. We show that the suppressed packing fraction is caused by an…

Disordered Systems and Neural Networks · Physics 2007-10-24 Takashi Odagaki , Tsuyoshi Okubo , Ryusei Ogata , Keiji Okazaki

The Large Scale Structure (LSS) found in galaxy redshift surveys and in computer simulations of cosmic structure formation shows a very complex network of galaxy clusters, filaments, and sheets around large voids. Here, we introduce a new…

Astrophysics · Physics 2008-11-26 J. M. Colberg