Statistical tests for MIXMAX pseudorandom number generatorThe Pseudo-Random Number Generators (PRNGs) are key tools in Monte Carlo simulations. More recently, the MIXMAX PRNG has been included in ROOT and Class Library for High Energy Physics (CLHEP)…Narek H. Martirosyan, Gevorg A. Karyan, Norayr Z. Akopov·Jul 3, 2017SaveLearn
Data Fusion Reconstruction of Spatially Embedded Complex NetworksWe introduce a kernel Lasso (kLasso) optimization that simultaneously accounts for spatial regularity and network sparsity to reconstruct spatial complex networks from data. Through a kernel…Jie Sun, Fernando J. Quevedo, Erik Bollt·Jul 3, 2017SaveLearn
Linked by dynamics: wavelet--based mutual information rate as a connectivity measure and scale-specific networksExperimentally observed networks of interacting dynamical systems are inferred from recorded multivariate time series by evaluating a statistical measure of dependence, usually the cross-correlation…Milan Palus·Jun 25, 2017SaveLearn
A recipe for irreproducible resultsRecent studies have shown that many results published in peer-reviewed scientific journals are not reproducible. This raises the following question: why is it so easy to fool myself into believing…Ole Peters, Maximilian Werner·Jun 23, 2017SaveLearn
Relative distance between tracers as a measure of diffusivity within moving aggregatesTracking of particles, be it a passive tracer or an actively moving bacterium in the growing bacterial colony, is a powerful technique to probe the physical properties of the environment of the…Wolfram Pönisch, Vasily Zaburdaev·Jun 20, 2017SaveLearn
Charged particle tracking without magnetic field: optimal measurement of track momentum by a Bayesian analysis of the multiple measurements of deflections due to multiple scatteringWe revisit the precision of the measurement of track parameters (position, angle) with optimal methods in the presence of detector resolution, multiple scattering and zero magnetic field. We then…Mikael Frosini, Denis Bernard·Jun 19, 2017SaveLearn
Predictability of Extreme Intensity Pulses in Optically Injected Semiconductor LasersThe predictability of extreme intensity pulses emitted by an optically injected semiconductor laser is studied numerically, by using a well-known rate equation model. We show that symbolic ordinal…Nuria Martinez Alvarez, Saurabh Borkar, Cristina Masoller·Jun 19, 2017SaveLearn
Phase-error estimation and image reconstruction from digital-holography data using a Bayesian frameworkThe estimation of phase errors from digital-holography data is critical for applications such as imaging or wave-front sensing. Conventional techniques require multiple i.i.d. data and perform poorly…Casey J. Pellizzari, Mark F. Spencer, Charles A. Bouman·Jun 9, 2017SaveLearn
Maximum-entropy from the probability calculus: exchangeability, sufficiencyMaximum-entropy distributions are shown to appear in the probability calculus as approximations of a model by exchangeability or a model by sufficiency, the former model being preferable. The…P. G. L. Porta Mana·Jun 8, 2017SaveLearn
A method and tool for combining differential or inclusive measurements obtained with simultaneously constrained uncertaintiesA method is discussed that allows combining sets of differential or inclusive measurements. It is assumed that at least one measurement was obtained with simultaneously fitting a set of nuisance…Jan Kieseler·Jun 6, 2017SaveLearn
Yadage and Packtivity - analysis preservation using parametrized workflowsPreserving data analyses produced by the collaborations at LHC in a parametrized fashion is crucial in order to maintain reproducibility and re-usability. We argue for a declarative description in…Kyle Cranmer, Lukas Heinrich·Jun 6, 2017SaveLearn
Minimal Dominating Set problem studied by simulated annealing and cavity method: Analytics and population dynamicsThe minimal dominating Set (MDS) problem is a prototypical hard combinatorial optimization problem. Two years ago we studied this problem by cavity method. Although we get the solution of a given…Yusupjan Habibulla·Jun 4, 2017SaveLearn
Design and Execution of make-like, distributed Analyses based on Spotify's Pipelining Package LuigiIn high-energy particle physics, workflow management systems are primarily used as tailored solutions in dedicated areas such as Monte Carlo production. However, physicists performing data analyses…Marcel Rieger, Martin Erdmann, Benjamin Fischer et al.·Jun 3, 2017SaveLearn
Experiment Software and Projects on the Web with VISPAThe Visual Physics Analysis (VISPA) project defines a toolbox for accessing software via the web. It is based on latest web technologies and provides a powerful extension mechanism that enables to…Martin Erdmann, Benjamin Fischer, Robert Fischer et al.·Jun 3, 2017SaveLearn
Identity Method RevisitedWe discuss the impact of finite particle losses associated with instrumental effects in measurements of moments of produced multiplicities with the Identity Method towards the evaluation of…Claude A. Pruneau·Jun 1, 2017SaveLearn
Right-side-stretched multifractal spectra indicate small-worldness in networksComplex network formalism allows to explain the behavior of systems composed by interacting units. Several prototypical network models have been proposed thus far. The small-world model has been…Paweł Oświȩcimka, Lorenzo Livi, Stanisław Drożdż·May 22, 2017SaveLearn
Causality inference in stochastic systems from neurons to currencies: Profiting from small sample sizeSuccess in modeling complex phenomena such as human perception hinges critically on the availability of data and computational power. Significant progress has been made in modeling such phenomena…Danh-Tai Hoang, Juyong Song, Vipul Periwal et al.·May 18, 2017SaveLearn
Berthil Cepstrum: a Novel Vibration Analysis Method based on Marginal Hilbert Spectrum Applied to Artificial Motor AgingMotor age determination as a part of condition monitoring heavily employs vibration analysis. This study introduces a new method for such analysis, based on concepts of cepstrum and marginal Hilbert…Harun Siljak, Abdulhamit Subasi·May 15, 2017SaveLearn
Characterizing Time Series via Complexity-Entropy CurvesThe search for patterns in time series is a very common task when dealing with complex systems. This is usually accomplished by employing a complexity measure such as entropies and fractal…Haroldo V. Ribeiro, Max Jauregui, Luciano Zunino et al.·May 13, 2017SaveLearn
Data Unfolding with Wiener-SVD MethodData unfolding is a common analysis technique used in HEP data analysis. Inspired by the deconvolution technique in the digital signal processing, a new unfolding technique based on the SVD technique…W. Tang, X. Li, X. Qian et al.·May 9, 2017SaveLearn
Multi-Fidelity Surrogate Based on Single Linear RegressionVarious frameworks have been proposed to predict mechanical system responses by combining data from different fidelities for design optimization and uncertainty quantification as reviewed by…Yiming Zhang, Nam-Ho Kim, Chanyoung Park et al.·May 8, 2017SaveLearn
Generalization of Effective Conductance Centrality for EgonetworksWe study the popular centrality measure known as effective conductance or in some circles as information centrality. This is an important notion of centrality for undirected networks, with many…Heman Shakeri, Behnaz Moradi-Jamei, Pietro Poggi-Corradini et al.·May 7, 2017SaveLearn
Regression Driven F--Transform and Application to Smoothing of Financial Time SeriesIn this paper we propose to extend the definition of fuzzy transform in order to consider an interpolation of models that are richer than the standard fuzzy transform. We focus on polynomial models,…Luigi Troiano, Pravesh Kriplani, Irene Diaz·May 4, 2017SaveLearn
Maximizing the information learned from finite data selects a simple modelWe use the language of uninformative Bayesian prior choice to study the selection of appropriately simple effective models. We advocate for the prior which maximizes the mutual information between…Henry H. Mattingly, Mark K. Transtrum, Michael C. Abbott et al.·May 2, 2017SaveLearn
When intuition fails in assessing conditional risks: the example of the frog riddleRecently, the educational initiative TED-Ed has published a popular brain teaser coined the 'frog riddle', which illustrates non-intuitive implications of conditional probabilities. In its…Daniel Hetterich, Florian Geissler·May 2, 2017SaveLearn