An information geometric perspective on the complexity of macroscopic predictions arising from incomplete informationMotivated by the presence of deep connections among dynamical equations, experimental data, physical systems, and statistical modeling, we report on a series of findings uncovered by the Authors and…Sean Alan Ali, Carlo Cafaro, Steven Gassner et al.·Jul 2, 2018SaveLearn
Dynamics of beryllium-7 specific activity in relation to meteorological variables, tropopause height, teleconnection indices and sunspot numberThe dynamics of the beryllium-7 specific activity in surface air over 1987--2011 is analyzed using wavelet transform (WT) analysis and time-dependent detrended moving average (tdDMA) method. WT…Darko Sarvan, Djordje Stratimirovic, Suzana Blesic et al.·Jul 2, 2018SaveLearn
A proposed solution for analysis management in high energy physicsThis paper presents an architecture for the analysis management in high energy physics experiments. Some new concepts on data analysis are introduced. A protocol for organizing and operating an…Mingrui Zhao·Jun 22, 2018SaveLearn
Tutorial: Maximum likelihood estimation in the context of an optical measurementThe method of maximum likelihood estimation (MLE) is a widely used statistical approach for estimating the values of one or more unknown parameters of a probabilistic model based on observed data. In…Anthony Vella·Jun 8, 2018SaveLearn
PyUnfold: A Python Package for Iterative UnfoldingPyUnfold is a Python package for incorporating imperfections of the measurement process into a data analysis pipeline. In an ideal world, we would have access to the perfect detector: an apparatus…James Bourbeau, Zigfried Hampel-Arias·Jun 8, 2018SaveLearn
Phase Walk Analysis of Leptokurtic Time SeriesThe Fourier phase information play a key role for the quantified description of nonlinear data. We present a novel tool for time series analysis that identifies nonlinearities by sensitively…Korbinian Schreiber, Heike I. Modest, Christoph Räth·Jun 4, 2018SaveLearn
Unfolding with Generative Adversarial NetworksCorrecting measured detector-level distributions to particle-level is essential to make data usable outside the experimental collaborations. The term unfolding is used to describe this procedure. A…Kaustuv Datta, Deepak Kar, Debarati Roy·Jun 1, 2018SaveLearn
β-Decay Spectrum, Response Function and Statistical Model for Neutrino Mass Measurements with the KATRIN ExperimentThe objective of the Karlsruhe Tritium Neutrino (KATRIN) experiment is to determine the effective electron neutrino mass m(νe) with an unprecedented sensitivity of 0.2\,eV (90\%…M. Kleesiek, J. Behrens, G. Drexlin et al.·Jun 1, 2018SaveLearn
Accounting for model errors in iterative ensemble smoothersIn the strong-constraint formulation of the history-matching problem, we assume that all the model errors relate to a selection of uncertain model input parameters. One does not account for…Geir Evensen·Jun 1, 2018SaveLearn
Differential Correlation Measurements with the Identity MethodWe present an extension of the identity method initially introduced for particle yield fluctuation studies towards measurements of differential correlations. The extension is developed and…Claude Pruneau, Alice Ohlson·May 30, 2018SaveLearn
Probabilistic enhancement of the Failure Forecast Method using a stochastic differential equation and application to volcanic eruption forecastsWe introduce a doubly stochastic method for performing material failure theory based forecasts of volcanic eruptions. The method enhances the well known Failure Forecast Method equation, introducing…Andrea Bevilacqua, E. Bruce Pitman, Abani Patra et al.·May 29, 2018SaveLearn
Boundary conditions for similarity IndexThe recent development, shows that the Bray-Curtis's formula for similarity Index (1957), has been applied in various fields like Ecology, Astrophysics, etc. In this paper, we found the possible…Madhu Kashyap Jagadeesh, Purusharth Saxena·May 29, 2018SaveLearn
Speeding up complex multivariate data analysis in Borexino with parallel computing based on Graphics Processing UnitA spectral fitter based on the graphics processor unit (GPU) has been developed for Borexino solar neutrino analysis. It is able to shorten the fitting time to a superior level compared to the CPU…X. F. Ding, M. Agostini, K. Altenmuller et al.·May 28, 2018SaveLearn
An Accurate Data Cleaning Procedure for Electron Cyclotron Emission Imaging on EAST Tokamak Based on Methodology of Machine LearningA new data cleaning procedure for electron cyclotron emission imaging (ECEI) of EAST tokamak is constructed. Machine learning techniques, including SVM and Decision tree, are applied to identifying…C. Li, T. Lan, Y. Wang et al.·May 24, 2018SaveLearn
A New Approach for 4DVar Data AssimilationFour-dimensional variational data assimilation (4DVar) has become an increasingly important tool in data science with wide applications in many engineering and scientific fields such as…Xiangjun Tian, Aiguo Dai, Xiaobing Feng et al.·May 23, 2018SaveLearn
Enhancing noise-induced switching times in systems with distributed delaysThe paper addresses the problem of calculating the noise-induced switching rates in systems with delay-distributed kernels and Gaussian noise. A general variational formulation for the switching rate…Y. N. Kyrychko, I. B. Schwartz·May 22, 2018SaveLearn
A shadowing-based inflation scheme for ensemble data assimilationArtificial ensemble inflation is a common technique in ensemble data assimilation, whereby the ensemble covariance is periodically increased in order to prevent deviation of the ensemble from the…Thomas Bellsky, Lewis Mitchell·May 18, 2018SaveLearn
Fast Entropy Estimation for Natural SequencesIt is well known that to estimate the Shannon entropy for symbolic sequences accurately requires a large number of samples. When some aspects of the data are known it is plausible to attempt to use…Andrew D. Back, Daniel Angus, Janet Wiles·May 17, 2018SaveLearn
Refining the Experimental Extraction of the Number of Independent Samples in a Mode-Stirred Reverberation ChamberWe investigate the number of independent samples in a chaotic reverberation chamber. Its evaluation as defined by the IEC standard can be made more precise when using not the index of the first value…Khalid Oubaha, Martin Richter, Ulrich Kuhl et al.·May 16, 2018SaveLearn
BlurRingA code package, BlurRing, is developed as a method to allow for multi-dimensional likelihood visualisation. From the BlurRing visualisation additional information about the likelihood can be…Lydia Brenner, Carsten Burgard·May 15, 2018SaveLearn
Functional Decomposition: A new method for search and limit settingIn the analysis of High-Energy Physics data, it is frequently desired to separate resonant signals from a smooth, non-resonant background. This paper introduces a new technique - functional…Ryan Edgar, Dante Amidei, Christopher Grud et al.·May 11, 2018SaveLearn
Study of constraint and impact of a nuisance parameter in maximum likelihood methodMaximum likelihood method is widely used for parameter estimation in high energy physics. To consider various systematic uncertainties, tens of or even hundreds of nuisance parameters (NP) are…Li-Gang Xia·May 10, 2018SaveLearn
Differentiating resting brain states using ordinal symbolic analysisSymbolic methods of analysis are valuable tools for investigating complex time-dependent signals. In particular, the ordinal method defines sequences of symbols according to the ordering in which…C. Quintero-Quiroz, Luis Montesano, A. J. Pons et al.·May 10, 2018SaveLearn
Fitting a function to time-dependent ensemble averaged dataTime-dependent ensemble averages, i.e., trajectory-based averages of some observable, are of importance in many fields of science. A crucial objective when interpreting such data is to fit these…Karl Fogelmark, Michael A. Lomholt, Anders Irback et al.·May 8, 2018SaveLearn
Vector-Valued Spectral Analysis of Space-Time DataIdentifying coherent spatiotemporal patterns generated by complex dynamical systems is a central problem in many science and engineering disciplines. Here, we combine ideas from the theory of…Dimitrios Giannakis, Joanna Slawinska, Abbas Ourmazd et al.·May 7, 2018SaveLearn