Multifractal analysis of three-dimensional grayscale images: Characterization of natural porous structuresA multifractal analysis (MFA) is performed on three-dimensional grayscale images associated with natural porous structures (soil samples). First, computed tomography (CT) scans are carried out on the…Lorenzo Milazzo, Radoslaw Pajor·May 16, 2016SaveLearn
Classification of Big Data with Application to Imaging GeneticsBig data applications, such as medical imaging and genetics, typically generate datasets that consist of few observations n on many more variables p, a scenario that we denote as p>>n. Traditional…Magnus O. Ulfarsson, Frosti Palsson, Jakob Sigurdsson et al.·May 16, 2016SaveLearn
Track reconstruction through the application of the Legendre Transform on ellipsesWe propose a pattern recognition method that identifies the common tangent lines of a set of ellipses. The detection of the tangent lines is attained by applying the Legendre transform on a given set…T. Alexopoulos, Y. Bristogiannis, S. Leontsinis·May 16, 2016SaveLearn
Distributed data processing and analysis environment for neutron scattering experiments at CSNSChina Spallation Neutron Source (CSNS) is the first high-performance pulsed neutron source in China, which will meet the increasing fundamental research and technique applications demands…H. L. Tian, J. R. Zhang, L. L. Yan et al.·May 13, 2016SaveLearn
On Causality in Dynamical SystemsDiscovery of causal relations is fundamental for understanding the dynamics of complex systems. While causal interactions are well defined for acyclic systems that can be separated into causally…Daniel Harnack, Erik Laminski, Klaus Richard Pawelzik·May 9, 2016SaveLearn
Sequential motif profile of natural visibility graphsThe concept of sequential visibility graph motifs -subgraphs appearing with characteristic frequencies in the visibility graphs associated to time series- has been advanced recently along with a…Jacopo Iacovacci, Lucas Lacasa·May 9, 2016SaveLearn
A spatio-temporal stochastic pattern generator for simulation of uncertainties in geophysical ensemble prediction and ensemble data assimilationA generator of spatio-temporal pseudo-random Gaussian fields that satisfy the "proportionality of scales" property (Tsyroulnikov, 2001) is presented. The generator is based on a third-order in time…Michael Tsyrulnikov, Dmitry Gayfulin·May 6, 2016SaveLearn
Fractional Brownian motion time-changed by gamma and inverse gamma processMany real time-series exhibit behavior adequate to long range dependent data. Additionally very often these time-series have constant time periods and also have characteristics similar to Gaussian…A. Kumar, A. Wyłomańska, R. Połoczański et al.·Apr 30, 2016SaveLearn
Shape and spin distributions of large object populations from random projection areasWe model the shape and spin characteristics of an object population when there are not enough data to model its single members. The data are random projection areas of the members. We construct a…Hari Nortunen, Mikko Kaasalainen·Apr 29, 2016SaveLearn
Phase Retrieval with One or Two Diffraction Patterns by Alternating Projection with Null InitializationAlternating projection (AP) of various forms, including the Parallel AP (PAP), Real-constrained AP (RAP) and the Serial AP (SAP), are proposed to solve phase retrieval with at most two coded…Pengwen Chen, Albert Fannjiang, Gi-Ren Liu·Apr 28, 2016SaveLearn
Hybrid Monte Carlo with Chaotic MixingWe propose a hybrid Monte Carlo (HMC) technique applicable to high-dimensional multivariate normal distributions that effectively samples along chaotic trajectories. The method is predicated on the…Nirag Kadakia·Apr 25, 2016SaveLearn
Ubiquity of Benfords law and emergence of the reciprocal distributionWe apply the Law of Total Probability to the construction of scale-invariant probability distribution functions (pdfs), and require that probability measures be dimensionless and unitless under a…J. L. Friar, T. Goldman, J. Perez-Mercader·Apr 23, 2016SaveLearn
First-passage phenomena in hierarchical networksIn this paper we study Markov processes and related first passage problems on a class of weighted, modular graphs which generalize the Dyson hierarchical model. In these networks, the coupling…Flavia Tavani, Elena Agliari·Apr 21, 2016SaveLearn
The exact Laplacian spectrum for the Dyson hierarchical networkWe consider the Dyson hierarchical graph G, that is a weighted fully-connected graph, where the pattern of weights is ruled by the parameter σ∈ (1/2, 1]. Exploiting the deterministic…Elena Agliari, Flavia Tavani·Apr 20, 2016SaveLearn
Accuracy of the geometric-mean method for determining spatial resolutions of tracking detectors in the presence of multiple Coulomb scatteringThe geometric-mean method is often used to estimate the spatial resolution of a position-sensitive detector probed by tracks. It calculates the resolution solely from measured track data without…Aiwu Zhang, Marcus Hohlmann·Apr 20, 2016SaveLearn
HORACE: software for the analysis of data from single crystal spectroscopy experiments at time-of-flight neutron instrumentsThe HORACE suite of programs has been developed to work with large multiple-measurement data sets collected from time-of-flight neutron spectrometers equipped with arrays of position-sensitive…R. A. Ewings, A. Buts, M. D. Le et al.·Apr 20, 2016SaveLearn
Model independent analysis of nearly Lévy correlationsA model-independent method for the analysis of the two-particle short-range correlations is presented, that can be utilized to describe e.g. Bose-Einstein (HBT), dynamical (ridge) or other…T. Novák, T. Csörgő, H. C. Eggers et al.·Apr 19, 2016SaveLearn
Unsupervised single-particle deep clustering via statistical manifold learningMotivation: Structural heterogeneity in single-particle cryo-electron microscopy (cryo-EM) data represents a major challenge for high-resolution structure determination. Unsupervised classification…Jiayi Wu, Yong-Bei Ma, Charles Congdon et al.·Apr 15, 2016SaveLearn
A climate network-based index to discriminate different types of El Niño and La NiñaEl Niño exhibits distinct Eastern Pacific (EP) and Central Pacific (CP) types which are commonly, but not always consistently, distinguished from each other by different signatures in equatorial…Marc Wiedermann, Alexander Radebach, Jonathan F. Donges et al.·Apr 15, 2016SaveLearn
A simple numeric algorithm for ancient coin dies identificationA simple computer-based algorithm has been developed to identify pre-modern coins minted from the same dies, intending mainly coins minted by hand-made dies designed to be applicable to images taken…Luca Lista·Apr 14, 2016SaveLearn
3D Image Reconstruction from Compton camera dataIn this paper, we address analytically and numerically the inversion of the integral transform (cone or Compton transform) that maps a function on R3 to its integrals over…Peter Kuchment, Fatma Terzioglu·Apr 11, 2016SaveLearn
Modified cumulative distribution function in application to waiting time analysis in CTRW scenarioThe continuous time random walk model plays an important role in modeling of so called anomalous diffusion behaviour. One of the specific property of such model are constant time periods visible in…Rafał Połoczański, Agnieszka Wyłomańska, Janusz Gajda et al.·Apr 10, 2016SaveLearn
Implications of adopting plane angle as a base quantity in the SIThe treatment of angles within the SI is anomalous compared with other quantities, and there is a case for removing this anomaly by declaring plane angle to be an additional base quantity within the…Paul Quincey, Richard J C Brown·Apr 8, 2016SaveLearn
Percolation thresholds of two-dimensional continuum systems of rectangles [with erratum]The present work introduces an efficient Monte Carlo algorithm for continuum percolation composed of randomly-oriented rectangles. By conducting extensive simulations, we report high precision…Jiantong Li, Mikael Östling·Apr 5, 2016SaveLearn
Least square estimation of phase, frequency and PDEVThe Omega-preprocessing was introduced to improve phase noise rejection by using a least square algorithm. The associated variance is the PVAR which is more efficient than MVAR to separate the…Magnus Danielson, Francois Vernotte, Enrico Rubiola·Apr 4, 2016SaveLearn