A practical way to regularize unfolding of sharply varying spectra with low data statisticsUnfolding is a well-established tool in particle physics. However, a naive application of the standard regularization techniques to unfold the momentum spectrum of protons ejected in the process of…Andrei Gaponenko·Jun 19, 2019SaveLearn
Detecting new signals under background mismodellingSearches for new astrophysical phenomena often involve several sources of non-random uncertainties which can lead to highly misleading results. Among these, model-uncertainty arising from background…Sara Algeri·Jun 15, 2019SaveLearn
Processing Columnar Collider Data with GPU-Accelerated KernelsAt high energy physics experiments, processing billions of records of structured numerical data from collider events to a few statistical summaries is a common task. The data processing is typically…Joosep Pata, Maria Spiropulu·Jun 14, 2019SaveLearn
Information-theoretic measures for non-linear causality detection: application to social media sentiment and cryptocurrency pricesInformation transfer between time series is calculated by using the asymmetric information-theoretic measure known as transfer entropy. Geweke's autoregressive formulation of Granger causality is…Z. Keskin, T. Aste·Jun 13, 2019SaveLearn
Iterative subtraction method for Feature RankingTraining features used to analyse physical processes are often highly correlated and determining which ones are most important for the classification is a non-trivial tasks. For the use case of a…Paul Glaysher, Judith M. Katzy, Sitong An·Jun 13, 2019SaveLearn
Topological descriptors of spatial coherence in a convective boundary layerThe interaction between a turbulent convective boundary layer (CBL) and the underlying land surface is an important research problem in the geosciences. In order to model this interaction adequately,…José Licón-Saláiz, Cedrick Ansorge·Jun 7, 2019SaveLearn
Revision of ISO 19229 to support the certification of calibration gases for purityThe second edition of ISO 19229 expands the guidance in its predecessor in two ways. Firstly, it provides more support and examples describing possible experimental approaches for purity analysis. A…Adriaan M. H. van der Veen, Gerard Nieuwenkamp·Jun 4, 2019SaveLearn
Changes in long-term properties of the Danube river level and flow induced by dammingIn this paper we assessed changes in scaling properties of the river Danube level and flow data, associated with building of Djerdap/Iron Gates hydrological power plants positioned on the border of…Djordje Stratimirovic, Ilija Batas-Bjelic, Vladimir Djurdjevic et al.·May 30, 2019SaveLearn
Dashboard Task Monitor for Managing ATLAS User Analysis on the GridThe organization of the distributed user analysis on the Worldwide LHC Computing Grid (WLCG) infrastructure is one of the most challenging tasks among the computing activities at the Large Hadron…L Sargsyan, J Andreeva, M Jha et al.·May 30, 2019SaveLearn
Practical Statistics for Particle PhysicsThis is the write-up of a set of lectures given at the Asia Europe Pacific School of High Energy Physics in Quy Nhon, Vietnam in September 2018, to an audience of PhD students in all branches of…Roger John Barlow·May 29, 2019SaveLearn
From periodic sampling to irregular sampling through PNS (Periodic Nonuniform Sampling)Resampling is an operation costly in calculation time and accuracy. It regularizes irregular sampling, replacing N data by N periodic estimations. This stage can be suppressed, using formulas built…Bernard Lacaze·May 27, 2019SaveLearn
A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab DataEngineering simulators used for steady-state multiphase pipe flows are commonly utilized to predict pressure drop. Such simulators are typically based on either empirical correlations or…Evgenii Kanin, Andrei Osiptsov, Albert Vainshtein et al.·May 23, 2019SaveLearn
Shades of Dark Uncertainty and Consensus Value for the Newtonian Constant of GravitationThe Newtonian constant of gravitation, G, stands out in the landscape of the most common fundamental constants owing to its surprisingly large relative uncertainty, which is attributable mostly to…Christos Merkatas, Blaza Toman, Antonio Possolo et al.·May 23, 2019SaveLearn
The partial visibility curve of the Feigenbaum cascade to chaosA family of classical mathematical problems considers the visibility properties of geometric figures in the plane, e.g. curves or polygons. In particular, the domination problem tries to find…Juan Carlos Nuño, Francisco J. Muñoz·May 17, 2019SaveLearn
Spin determination from the in-plane angular correlation analysis for various coordinate systemsIn a reaction to excite the resonant state followed by the sequential cluster-decay, the in-plane angular correlation method is usually applied to determine the spin of the mother nucleus. However,…Biao Yang, Yan-Lin Ye, Jian-Ling Lou et al.·May 17, 2019SaveLearn
Data Processing Protocol for Regression of Geothermal Times Series with Uneven IntervalsRegression of data generated in simulations or experiments has important implications in sensitivity studies, uncertainty analysis, and prediction accuracy. Depending on the nature of the physical…Palash Panja, Pranay Asai, Raul Velasco et al.·May 16, 2019SaveLearn
On the Automatic Parameter Selection for Permutation EntropyPermutation Entropy (PE) has been shown to be a useful tool for time series analysis due to its low computational cost and noise robustness. This has drawn for its successful application in many…Audun Myers, Firas Khasawneh·May 15, 2019SaveLearn
Visualising high-dimensional state spaces with "Tuple Plots"Complex systems are described with high-dimensional data that is hard to visualise. Inselberg's parallel coordinates are one representation technique for visualising high-dimensional data. Here we…Susan Stepney·May 12, 2019SaveLearn
A class of randomized Subset Selection Methods for large complex networksMost of the real world complex networks such as the Internet, World Wide Web and collaboration networks are huge; and to infer their structure and dynamics one requires handling large connectivity…Amit Reza, Richa Tripathi·May 11, 2019SaveLearn
Delay Parameter Selection in Permutation Entropy Using Topological Data AnalysisPermutation Entropy (PE) is a powerful tool for quantifying the complexity of a signal which includes measuring the regularity of a time series. Additionally, outside of entropy and information…Audun D. Myers, Max M. Chumley, Firas A. Khasawneh·May 10, 2019SaveLearn
A new method to determine multi-angular reflectance factor from lightweight multispectral cameras with sky sensor in a target-less workflow applicable to UAVA new physically based method to estimate hemispheric-directional reflectance factor (HDRF) from lightweight multispectral cameras that have a downwelling irradiance sensor is presented. It combines…Klaus Schneider-Zapp, Manuel Cubero-Castan, Dai Shi et al.·May 8, 2019SaveLearn
Parameter-free quantification of stochastic and chaotic signalsRecurrence entropy ( S) is a novel time series complexity quantifier based on recurrence microstates. Here we show that max( S) is a parameter-free quantifier of time…Sergio Roberto Lopes, Thiago de Lima Prado, Gilberto Corso et al.·May 6, 2019SaveLearn
Estimating the Mutual Information between two Discrete, Asymmetric Variables with Limited SamplesDetermining the strength of non-linear statistical dependencies between two variables is a crucial matter in many research fields. The established measure for quantifying such relations is the mutual…Damián G. Hernández, Inés Samengo·May 6, 2019SaveLearn
Comment on "R\'enyi entropy yields artifficial biases not in the data and incorrect updating due to the infinite-size data"In their recent paper [Phys. Rev. E 99 (2019) 032134], T. Oikinomou and B. Bagci have argued that R\'enyi entropy is ill-suited for inference purposes because it is not consistent with the Shore…Petr Jizba, Jan Korbel·May 1, 2019SaveLearn
Wavelet based detection of scaling behaviour in noisy experimental dataThe detection of power-laws in real data is a demanding task for several reasons. The two, more frequently met, being: (i) real data possess noise which affects significantly the power-law tails and…Yiannis F. Contoyiannis, Stelios Potirakis, Fotios K. Diakonos·Apr 27, 2019SaveLearn