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Related papers: Cored density profiles in the DARKexp model

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The degeneracy of two-phase disordered microstructures consistent with a specified correlation function is analyzed by mapping it to a ground-state degeneracy. We determine for the first time the associated density of states via a Monte…

Statistical Mechanics · Physics 2012-05-16 Cedric Gommes , Yang Jiao , Salvatore Torquato

We generalize our previous model to an O(N) symmetric two-dimensional model which possesses chiral symmetry breaking and superconducting (Cooper pair condensates) phases at large-N. At zero temperature and density, the model can be solved…

High Energy Physics - Phenomenology · Physics 2009-10-31 Alan Chodos , Fred Cooper , Wenjin Mao , Hisakazu Minakata , Anupam Singh

Density profiles of isolated cores derived from thermal dust continuum emission rely on models of dust properties, such as mass opacity, which are poorly constrained. With complementary measures from near-infrared extinction maps, we can…

Astrophysics of Galaxies · Physics 2017-11-01 K. Webb , J. Di Francesco , S. Sadavoy , K. Thanjavur , R. Launhardt , Y. Shirley , A. Stutz , J. Abreu Vicente , J. Kainulainen

We present the first detailed classification of the structures of Class 0 cores in a high resolution simulation of a giant molecular cloud. The simulated cloud contains 10^4 solar masses and produces over 350 cores which allows for…

Astrophysics of Galaxies · Physics 2015-05-20 Rowan J. Smith , Simon C. O. Glover , Ian A. Bonnell , Paul C. Clark , Ralf S. Klessen

Dark matter haloes are typically characterised by radial density profiles with fixed forms motivated by simulations (e.g. NFW). However, simulation predictions depend on uncertain dark matter physics and baryonic modelling. Here, we present…

Cosmology and Nongalactic Astrophysics · Physics 2026-04-10 Alicia Martín , Tariq Yasin , Deaglan J. Bartlett , Harry Desmond , Pedro G. Ferreira

Kernel density estimation is a convenient way to estimate the probability density of a distribution given the sample of data points. However, it has certain drawbacks: proper description of the density using narrow kernels needs large data…

Data Analysis, Statistics and Probability · Physics 2015-02-27 Anton Poluektov

We propose a solution to the `cuspy-core' problem by extending the geodesic equations of motion using the Dark Energy length scale $\lambda_{DE}=c/(\Lambda_{DE} G)^{1/2}$. This extension does not affect the motion of photons; gravitational…

Astrophysics · Physics 2007-12-04 A. D. Speliotopoulos

We investigate the totally asymmetric simple exclusion process (TASEP) in the presence of obstacles that dynamically bind and unbind from the lattice. The model is motivated by biological processes such as transcription in the presence of…

Statistical Mechanics · Physics 2020-10-21 Juraj Szavits-Nossan , Bartlomiej Waclaw

We present HI data of the dwarf galaxy DDO 47, aimed at testing the hypothesis that dark halo triaxiality might induce non-circular motions resulting in rotation curves best fitted by cored halos, even if the dark matter halo is…

Astrophysics · Physics 2009-11-13 G. Gentile , A. Burkert , P. Salucci , U. Klein , F. Walter

Type Ia supernova data have recently become strong enough to enable, for the first time, constraints on the time variation of the dark energy density and its equation of state. Most analyses, however, are using simple two or three-parameter…

Astrophysics · Physics 2011-05-05 Dragan Huterer , Asantha Cooray

Conditional density estimation is a general framework for solving various problems in machine learning. Among existing methods, non-parametric and/or kernel-based methods are often difficult to use on large datasets, while methods based on…

Machine Learning · Statistics 2018-06-06 Hiroaki Sasaki , Aapo Hyvärinen

For nearly 40 years, dark matter has been widely assumed to be cold and collisionless. Cold dark matter models make fundamental predictions for the behavior of dark matter on small (<10 kpc) scales. These predictions include cuspy density…

Inferring unknown conic sections on the basis of noisy data is a challenging problem with applications in computer vision. A major limitation of the currently available methods for conic sections is that estimation methods rely on the…

Methodology · Statistics 2020-03-05 Subharup Guha , Sujit K. Ghosh

In this paper, we propose a new global geometry constraint for depth completion. By assuming depth maps often lay on low dimensional subspaces, a dense depth map can be approximated by a weighted sum of full-resolution principal depth…

Computer Vision and Pattern Recognition · Computer Science 2020-12-03 Yiran Zhong , Yuchao Dai , Hongdong Li

We present rotation curve fits to 175 late-type galaxies from the Spitzer Photometry & Accurate Rotation Curves (SPARC) database using seven dark matter (DM) halo profiles: pseudo-isothermal (pISO), Burkert, Navarro-Frenk-White (NFW),…

Astrophysics of Galaxies · Physics 2020-03-18 Pengfei Li , Federico Lelli , Stacy McGaugh , James Schombert

The standard cold dark matter (CDM) model has recently been challenged by the claim that dwarf galaxies have dark matter halos with constant density cores. Consequently, numerous alternative dark matter candidates have recently been…

Astrophysics · Physics 2008-11-26 Frank C. van den Bosch , Rob A. Swaters

The goal of this note is to explore, from a geometric and probabilistic point of view, the dynamics of cone structures adapted to open book decompositions. This is inspired by the picture which arises in the study of the circular restricted…

Dynamical Systems · Mathematics 2026-02-17 Agustin Moreno

We present deep NIR observations of a dense region of Lupus 3 obtained with ESO's NTT and VLT. Using the NICE method we construct a dust extinction map of the cloud, which reveals embedded globules, a dense filament, and a dense ring…

Astrophysics · Physics 2009-11-11 Paula S. Teixeira , Charles J. Lada , Joao F. Alves

Sup-norm curve estimation is a fundamental statistical problem and, in principle, a premise for the construction of confidence bands for infinite-dimensional parameters. In a Bayesian framework, the issue of whether the…

Methodology · Statistics 2016-03-22 Catia Scricciolo

We develop a non-perturbative method to derive the probability distribution $P(\delta_R)$ of the density contrast within spherical cells in the quasi-linear regime. Indeed, since this corresponds to a rare-event limit a steepest-descent…

Astrophysics · Physics 2009-11-06 P. Valageas
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