Variational Assimilation for Xenon Dynamical Forecasts in Neutronic using Advanced Background Error Covariance MatrixData assimilation method consists in combining all available pieces of information about a system to obtain optimal estimates of initial states. The different sources of information are weighted…Angélique Ponçot, Jean-Philippe Argaud, Bertrand Bouriquet et al.·Apr 25, 2013SaveLearn
Core-scale solute transport model selection using Monte Carlo analysisModel applicability to core-scale solute transport is evaluated using breakthrough data from column experiments conducted with conservative tracers tritium (H-3) and sodium-22, and the retarding…Bwalya Malama, Kristopher L. Kuhlman, Scott C. James·Apr 24, 2013SaveLearn
Dimensional analysis using toric idealsClassical dimensional analysis is one of the cornerstones of qualitative physics and is also used in the analysis of engineering systems, for example in engineering design. The basic power product…M. A. Atherton, R. A. Bates, H. P. Wynn·Apr 12, 2013SaveLearn
Stochastic Recovery Of Sparse Signals From Random MeasurementsSparse signal recovery from a small number of random measurements is a well known NP-hard to solve combinatorial optimization problem, with important applications in signal and image processing. The…M. Andrecut·Apr 7, 2013SaveLearn
Exact Fourier Spectrum RecoveryDiscrete Fourier Transform (DFT) is widely used in signal processing to analyze the frequencies in a discrete signal. However, DFT fails to recover the exact Fourier spectrum, when the signal…M. Andrecut·Apr 7, 2013SaveLearn
Nonlinear unmixing of hyperspectral images: models and algorithmsWhen considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM). However, the…Nicolas Dobigeon, Jean-Yves Tourneret, Cédric Richard et al.·Apr 6, 2013SaveLearn
xrayutilities: A versatile tool for reciprocal space conversion of scattering data recorded with linear and area detectorsWe present general algorithms to convert scattering data of linear and area detectors recorded in various scattering geometries to reciprocal space coordinates. The presented algorithms work for any…Dominik Kriegner, Eugen Wintersberger, Julian Stangl·Apr 5, 2013SaveLearn
Highly comparative time-series analysis: The empirical structure of time series and their methodsThe process of collecting and organizing sets of observations represents a common theme throughout the history of science. However, despite the ubiquity of scientists measuring, recording, and…Ben D. Fulcher, Max A. Little, Nick S. Jones·Apr 3, 2013SaveLearn
Variational Semi-blind Sparse Deconvolution with Orthogonal Kernel Bases and its Application to MRFMWe present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known. To solve this semi-blind…Se Un Park, Nicolas Dobigeon, Alfred O. Hero·Mar 15, 2013SaveLearn
Object-based high contrast travel time tomographyWe consider travel time tomography problems involving detection of high contrast, discrete high velocity structures. This results in a discrete nonlinear inverse problem, for which traditional…Yenting Lin, Antonio Ortega·Mar 12, 2013SaveLearn
2D anisotropic scattering pattern fitting using a novel Monte Carlo method: Initial resultsRecently, a Monte Carlo method has been presented which allows for the form-free retrieval of size distributions from isotropic scattering patterns, complete with uncertainty estimates linked to the…Brian R. Pauw, Masato Ohnuma, Kenji Sakurai et al.·Mar 12, 2013SaveLearn
The balancing act of template bank construction: inspiral waveform template banks for gravitational-wave detectors and optimizations at fixed computational costGravitational-wave searches for signals from inspiralling compact binaries have relied on matched filtering banks of waveforms (called template banks) to try to extract the signal waveforms from the…Drew Keppel·Mar 8, 2013SaveLearn
Characterizing N-dimensional anisotropic Brownian motion by the distribution of diffusivitiesAnisotropic diffusion processes emerge in various fields such as transport in biological tissue and diffusion in liquid crystals. In such systems, the motion is described by a diffusion tensor. For a…Mario Heidernätsch, Michael Bauer, Günter Radons·Mar 7, 2013SaveLearn
Automatic sorting of point pattern sets using Minkowski FunctionalsPoint pattern sets arise in many different areas of physical, biological, and applied research, representing many random realizations of underlying pattern formation mechanisms. These pattern sets…Joshua Parker, Eilon Sherman, Matthias van de Raa et al.·Mar 5, 2013SaveLearn
Some Notes on the Use of the Windowed Fourier Transform for Spectral Analysis of Discretely Sampled DataThe properties of the Gabor and Morlet transforms are examined with respect to the Fourier analysis of discretely sampled data. Forward and inverse transform pairs based on a fixed window with…Robert W. Johnson·Mar 1, 2013SaveLearn
Digital Cavities and Their Potential ApplicationsThe concept of a digital cavity is presented. The functionality of a tunable radio-frequency/microwave cavity with unrestricted Q-factor is implemented. The theoretical aspects of the cavity and its…Khadga Karki, Magne Torbjornsson, Julia. R. Widom et al.·Feb 25, 2013SaveLearn
Explaining Zipf's Law via Mental LexiconThe Zipf's law is the major regularity of statistical linguistics that served as a prototype for rank-frequency relations and scaling laws in natural sciences. Here we show that the Zipf's…Armen E. Allahverdyan, Weibing Deng, Q. A. Wang·Feb 18, 2013SaveLearn
A model-free characterization of recurrences in stationary time seriesStudy of recurrences in earthquakes, climate, financial time-series, etc. is crucial to better forecast disasters and limit their consequences. However, almost all the previous phenomenological…Rémy Chicheportiche, Anirban Chakraborti·Feb 15, 2013SaveLearn
Four Decades of Computing in Subnuclear Physics - from Bubble Chamber to LHCThis manuscript addresses selected aspects of computing for the reconstruction and simulation of particle interactions in subnuclear physics. Based on personal experience with experiments at DESY and…Jürgen Knobloch·Feb 13, 2013SaveLearn
Asymptotic Formula for a General Double-Bounded Custom-Sided Likelihood Based Test StatisticThis paper presents the asymptotic distributions of a general likelihood-based test statistic, derived using results of Wilks and Wald. The general form of the test statistic incorporates the test…Will Buttinger·Feb 12, 2013SaveLearn
A method for statistical comparison of histogramsWe propose an approach for testing the hypothesis that two realizations of the random variables in the form of histograms are taken from the same statistical population (i.e. that two histograms are…Sergey Bityukov, Nikolai Krasnikov, Alexander Nikitenko et al.·Feb 11, 2013SaveLearn
Exact test for Markov orderWe describe an exact test of the null hypothesis that a Markov chain is nth order versus the alternate hypothesis that it is (n+1)-th order. The procedure does not rely on asymptotic properties,…Shawn D. Pethel, Daniel W. Hahs·Feb 6, 2013SaveLearn
Record-breaking statistics for random walks in the presence of measurement error and noiseWe address the question of distance record-setting by a random walker in the presence of measurement error, δ, and additive noise, γ and show that the mean number of (upper) records up to n…Yaniv Edery, Alexander B. Kostinski, Satya N. Majumdar et al.·Feb 4, 2013SaveLearn
Towards the full information chain theory: solution methods for optimal information acquisition problemWhen additional information sources are available in decision making problems that allow stochastic optimization formulations, an important question is how to optimally use the information the…Eugene Perevalov, David Grace·Feb 1, 2013SaveLearn
Renormalized entropy for one dimensional discrete maps: periodic and quasi-periodic route to chaos and their robustnessWe apply renormalized entropy as a complexity measure to the logistic and sine-circle maps. In the case of logistic map, renormalized entropy decreases (increases) until the accumulation point (after…O. Afsar, G. B. Bagci, U. Tirnakli·Jan 24, 2013SaveLearn