Bézier 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
End-to-end analysis using image classificationEnd-to-end analyses of data from high-energy physics experiments using machine and deep learning techniques have emerged in recent years. These analyses use deep learning algorithms to go directly…Adam Aurisano, Leigh H. Whitehead·Aug 5, 2022SaveLearn
Bayesian Parameterization of Continuum Battery Models from Featurized Electrochemical Measurements Considering NoisePhysico-chemical continuum battery models are typically parameterized by manual fits, relying on the individual expertise of researchers. In this article, we introduce a computer algorithm that…Yannick Kuhn, Hannes Wolf, Arnulf Latz et al.·Aug 4, 2022SaveLearn
Stochastic interpolation of sparsely sampled time series by a superstatistical random process and its synthesis in Fourier and wavelet spaceWe present a novel method for stochastic interpolation of sparsely sampled time signals based on a superstatistical random process generated from a multivariate Gaussian scale mixture. In comparison…Jeremiah Lübke, Jan Friedrich, Rainer Grauer·Aug 2, 2022SaveLearn
Measuring the attenuation length of muon number in the air shower with muon detectors of 3/4 LHAASO arrayLHAASO KM2A consists of 5915 scintillation detectors and 1188 muon detectors, and the muon detectors cover 4% area of the whole array with 30 m spacing. The muon number of air shower events, with…Xiaoting Feng, Hengying Zhang, Cunfeng Feng et al.·Jul 25, 2022SaveLearn
Unbiased two-windows approach for Welch's methodPeriodogram methods are widely used for the estimation of power- and cross-spectra, of which Welch's method is the most popular. Previous studies have analyzed the variance of the power spectra…Eduardo Martini·Jul 25, 2022SaveLearn