Directional coupling detection through cross-distance vectorsInferring the coupling direction from measured time series of complex systems is challenging. We propose a new state space based causality measure obtained from cross-distance vectors for quantifying…Martin Brešar, Pavle Boškoski·Oct 12, 2022SaveLearn
Thermal Activation of Dry Sliding Friction at The Nano-scaleMolecular dynamic (MD) simulations are applied to investigate the dependency of the kinetic friction coefficient on the temperature at the nano-scale. The system is comprised of an aluminum spherical…Rasoul Kheiri, Alexey A Tsukanov·Oct 10, 2022SaveLearn
The Shannon Entropy of a HistogramThe histogram is a key method for visualizing data and estimating the underlying probability distribution. Incorrect conclusions about the data result from over or under-binning. A new method based…Stephen Watts, Lisa Crow·Oct 6, 2022SaveLearn
Curvelet-based Model for the Generation of Anisotropic Fractional Brownian FieldsWe propose a curvelet-based model for the generation of Anisotropic Fractional Brownian Fields, that are suited to model systems with orientation-dependent self-similar properties. The synthesis…Marcos Vinícius Cândido Henriques·Oct 4, 2022SaveLearn
Monitoring Public Behavior During a Pandemic Using Surveys: Proof-of-Concept Via Epidemic ModellingImplementing a lockdown for disease mitigation is a balancing act: Non-pharmaceutical interventions can reduce disease transmission significantly, but interventions also have considerable societal…Andreas Koher, Frederik Jørgensen, Michael Bang Petersen et al.·Oct 4, 2022SaveLearn
B\'ezier interpolation improves the inference of dynamical models from dataMany dynamical systems, from quantum many-body systems to evolving populations to financial markets, are described by stochastic processes. Parameters characterizing such processes can often be…Kai Shimagaki, John P. Barton·Sep 22, 2022SaveLearn
Six textbook mistakes in data analysisThis article discusses a number of incorrect statements appearing in textbooks on data analysis, machine learning, or computational methods; the common theme in all these cases is the relevance and…Alexandros Gezerlis, Martin Williams·Sep 19, 2022SaveLearn
Beamline Simulation for the NNBAR Experiment at the European Spallation SourceThe HIBEAM and NNBAR experiments are a proposed fundamental science experiments at the European Spallation Source, performing high precision searches for neutron conversions in several baryon number…Matthias Holl, Rodion Kolevatov, Bernhard Meirose et al.·Sep 19, 2022SaveLearn
TomocuPy: efficient GPU-based tomographic reconstruction with asynchronous data processingFast 3D data analysis and steering of a tomographic experiment by changing environmental conditions or acquisition parameters require fast, close to real-time, 3D reconstruction of large data…Viktor Nikitin·Sep 18, 2022SaveLearn
Network inference combining mutual information rate and statistical testsIn this paper, we present a method that combines information-theoretical and statistical approaches to infer connectivity in complex networks using time-series data. The method is based on…Chris G. Antonopoulos·Sep 16, 2022SaveLearn
Research on the spectral reconstruction of a low-dimensional filter array micro-spectrometer based on a truncated singular value decomposition-convex optimization algorithmCurrently, the engineering of miniature spectrometers mainly faces three problems: the mismatch between the number of filters at the front end of the detector and the spectral reconstruction…Jiakun Zhang, Liu Zhang, Ying Song et al.·Sep 15, 2022SaveLearn
Carbon Monitor-Power: near-real-time monitoring of global power generation on hourly to daily scalesWe constructed a frequently updated, near-real-time global power generation dataset: Carbon Monitor-Power since January, 2016 at national levels with near-global coverage and hourly-to-daily time…Biqing Zhu, Xuanren Song, Zhu Deng et al.·Sep 13, 2022SaveLearn
A Simple Engineering Technique to Estimate the First Derivative of an Empirical FunctionA heuristic formula for 5-point approximation of the first derivative of an unknown function whose values are measured with an error at unequally spaced points is proposed. The derivative at a given…Emmanuil Beygelzimer, Yan Beygelzimer·Sep 13, 2022SaveLearn
Comparison of recent estimators of uncertainty on the mean for small measurement samples with normal and non-normal error distributionsWe review the alternative proposals introduced recently in the literature to update the standard formula to estimate the uncertainty on the mean of repeated measurements, and we compare their…Pascal Pernot, Jean-Paul Berthet·Sep 9, 2022SaveLearn
Dynamics of real-time forecasting failure and recovery due to data gapsReal-time forecasting is important to the society. It uses continuous data streams to update forecasts for sustained accuracy. But the data source is vulnerable to attacks or accidents and the…Sicheng Wu, Ruo-Qian Wang·Sep 8, 2022SaveLearn
Active learning-assisted neutron spectroscopy with log-Gaussian processesNeutron scattering experiments at three-axes spectrometers (TAS) investigate magnetic and lattice excitations by measuring intensity distributions to understand the origins of materials properties.…Mario Teixeira Parente, Georg Brandl, Christian Franz et al.·Sep 2, 2022SaveLearn
Library transfer between distinct Laser-Induced Breakdown Spectroscopy systems with shared standardsThe mutual incompatibility of distinct spectroscopic systems is among the most limiting factors in Laser-Induced Breakdown Spectroscopy (LIBS). The cost related to setting up a new LIBS system is…J. Vrábel, E. Képeš, P. Nedělník et al.·Aug 31, 2022SaveLearn
Demystifying the measurement of periodic structuresPeriodic structures are often found in various areas of nanoscience and nanotechnology with many of them being used for metrological purposes either to calibrate instruments, or forming the basis of…David Nečas, Andrew Yacoot, Petr Klapetek·Aug 25, 2022SaveLearn
A Data-Driven Statistical-Stochastic Surrogate Modeling Strategy for Complex Nonlinear Non-stationary DynamicsWe propose a statistical-stochastic surrogate modeling approach to predict the response of the mean and variance statistics under various initial conditions and external forcing perturbations. The…Di Qi, John Harlim·Aug 22, 2022SaveLearn
The velocity dependence of dry sliding friction at the nano-scaleWe performed molecular dynamics (MD) experiments to explore dry sliding friction at the nanoscale. We used the setup comprised of a spherical particle built up of 32,000 aluminium atoms, resting on a…Rasoul Kheiri, Alexey A Tsukanov, Nikolai V Brilliantov·Aug 19, 2022SaveLearn
Averaged Recurrence Quantification Analysis -- Method omitting the recurrence threshold choiceRecurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In this work we present a new strategy for an almost parameter-free RQA. The approach finally omits…Radim Pánis, Karel Adámek, Norbert Marwan·Aug 17, 2022SaveLearn
Learning governing physics from output only measurementsExtracting governing physics from data is a key challenge in many areas of science and technology. The existing techniques for equations discovery are dependent on both input and state measurements;…Tapas Tripura, Souvik Chakraborty·Aug 11, 2022SaveLearn
Academic mentees succeed in big groups, but thrive in small groupsMentoring is a key component of scientific achievements, contributing to overall measures of career success for mentees and mentors. A common success metric in the scientific enterprise is acquiring…Yanmeng Xing, Ying Fan, Roberta Sinatra et al.·Aug 10, 2022SaveLearn
Sensitivity of principal components to system changes in the presence of non-stationarityNon-stationarity affects the sensitivity of change detection in correlated systems described by sets of measurable variables. We study this by projecting onto different principal components.…Henrik M. Bette, Michael Schreckenberg, Thomas Guhr·Aug 9, 2022SaveLearn
Power laws in physicsGetting the most from power-law-type data can be challenging. James Sethna points out some of the pitfalls in studying power laws arising from emergent scale invariance, as well as important…James P. Sethna·Aug 5, 2022SaveLearn