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Investigations of mass segregation are of vital interest for the understanding of the formation and dynamical evolution of stellar systems on a wide range of spatial scales. Our method is based on the minimum spanning tree (MST) that serves…

Astrophysics of Galaxies · Physics 2015-05-28 C. Olczak , R. Spurzem , Th. Henning

We consider the scenario of deep clustering, in which the available prior knowledge is limited. In this scenario, few existing state-of-the-art deep clustering methods can perform well for both non-complex topology and complex topology…

Machine Learning · Statistics 2023-03-07 Yuhui Zhang , Yuichiro Wada , Hiroki Waida , Kaito Goto , Yusaku Hino , Takafumi Kanamori

Deterministic simulations of the rate equations governing cluster dynamics in materials are limited by the number of equations to integrate. Stochastic simulations are limited by the high frequency of certain events. We propose a coupling…

Materials Science · Physics 2017-10-11 Pierre Terrier , Manuel Athènes , Thomas Jourdan , Gilles Adjanor , Gabriel Stoltz

Particles of low velocity, travelling without dissipation in a superfluid, can interact and emit sound when they collide. We propose a minimal model in which the equations of motion of the particles, including a short-range repulsive force,…

Quantum Gases · Physics 2016-10-26 Vishwanath Shukla , Marc Brachet , Rahul Pandit

In this paper, we consider $N$ clusters of pairs of particles sedimenting in a viscous fluid. The particles are assumed to be rigid spheres and inertia of both particles and fluid are neglected. The distance between each two particles…

Analysis of PDEs · Mathematics 2020-02-05 Amina Mecherbet

The coordinate and momentum space configurations of the net baryon number in heavy ion collisions that undergo spinodal decomposition, due to a first-order phase transition, are investigated using state-of-the-art machine-learning methods.…

Nuclear Theory · Physics 2019-12-23 Jan Steinheimer , LongGang Pang , Kai Zhou , Volker Koch , Jørgen Randrup , Horst Stoecker

In this paper, a supervised clustering based-heuristic is proposed for the real-time implementation of approximate solutions to stochastic nonlinear model predictive control frameworks. The key idea is to update on-line a low cardinality…

Systems and Control · Computer Science 2018-11-26 Mazen Alamir

Clustering plays an important role in the structure of nuclei, especially for light nuclei in the $p$-shell. In nuclear cluster models these degrees of freedom are introduced explicitly. In the Resonating Group Method or in the Generator…

Nuclear Theory · Physics 2016-12-09 Hans Feldmeier , Thomas Neff

We have performed large-scale Lennard-Jones molecular dynamics simulations of homogeneous vapor-to-liquid nucleation, with $10^9$ atoms. This large number allows us to resolve extremely low nucleation rates, and also provides excellent…

Chemical Physics · Physics 2014-04-07 Raymond Angélil , Jürg Diemand , Kyoko K. Tanaka , Hidekazu Tanaka

We present high resolution N-body/SPH simulations of the interacting cluster 1E0657-56. The main and the sub-cluster are modeled using extended cuspy LCDM dark matter halos and isothermal beta-profiles for the collisional component. The hot…

Astrophysics · Physics 2009-11-13 Chiara Mastropietro , Andreas Burkert

We present a novel simulation technique derived from Brownian cluster dynamics used so far to study the isotropic colloidal aggregation. It now implements the classical Kern-Frenkel potential to describe patchy interactions between…

Soft Condensed Matter · Physics 2015-06-19 Achutha Prabhu , Sujin B. Babu , Jorge S. Dolado , J. -C. Gimel

We study forward-backward charge fluctuations to probe the correlations among produced particles in ultra relativistic heavy ion collisions. We develop a model that describes the forward-backward dynamical fluctuations and apply it to…

Nuclear Theory · Physics 2007-05-23 Mohamed Abdel-Aziz , Marcus Bleicher

Depending on the pH value and salt concentration of Al2O3 suspensions different microstructures can form. Especially the clustered one is of major interest for industrial purposes as found in the production of ceramics. In this paper we…

Soft Condensed Matter · Physics 2007-07-23 Martin Hecht , Jens Harting , Hans J. Herrmann

The dynamical cluster-decay model (DCM) is developed further for the decay of hot and rotating compound nuclei (CN) formed in light heavy-ion reactions. The model is worked out in terms of only one parameter, namely the neck-length…

Nuclear Experiment · Physics 2008-11-26 Raj K. Gupta , M. Balasubramaniam , Rajesh Kumar , Dalip Singh , C. Beck , W. Greiner

Since the appearance of the classical paper of Lifshitz almost half a century ago, linear stability analysis of cosmological models is textbook knowledge. Until recently, however, little was known about the behavior of higher than linear…

Astrophysics · Physics 2007-05-23 R. Juszkiewicz , F. R. Bouchet

P300 is an Event-Related Potential widely used in Brain-Computer Interfaces, but its detection is challenging due to inter-subject and temporal variability. This work introduces a clustering methodology based on Normalized Compression…

Machine Learning · Computer Science 2025-02-04 Guillermo Sarasa , Ana Granados , Francisco B Rodríguez

Choi et. al (2011) introduced a minimum spanning tree (MST)-based method called CLGrouping, for constructing tree-structured probabilistic graphical models, a statistical framework that is commonly used for inferring phylogenetic trees.…

Combinatorics · Mathematics 2017-01-12 Prabhav Kalaghatgi , Thomas Lengauer

The Compressed Baryonic Matter (CBM) experiment will investigate high-energy heavy-ion collisions at the international Facility for Antiproton and Ion Research (FAIR), which is under construction in Darmstadt, Germany. The CBM research…

Instrumentation and Detectors · Physics 2020-05-15 Peter Senger

Molecular dynamics simulations are used to study the local dynamics of counterion-charged polymer association at charge densities above and below the counterion condensation threshold. Surprisingly, the counterions form weakly-interacting…

Soft Condensed Matter · Physics 2009-11-13 Tak Shing Lo , Boris Khusid , Joel Koplik

Load modeling is difficult due to its uncertain and time-varying properties. Through the recently proposed ambient signals load modeling approach, these properties can be more frequently tracked. However, the large dataset of load modeling…

Systems and Control · Electrical Eng. & Systems 2020-07-01 Xinran Zhang , David J. Hill
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