Effect of non-uniform efficiency on higher-order cumulants in heavy-ion collisionsWe perform a systematic study on the effect of non-uniform track efficiency correction in higher-order cumulant analysis in heavy-ion collisions. Through analytical derivation, we find that the true…Fan Si, Yifei Zhang, Xiaofeng Luo·May 24, 2021SaveLearn
Generalization of Higuchi's fractal dimension for multifractal analysis of time series with limited lengthWe introduce a generalization of Higuchi's estimator of the fractal dimension as a new way to characterize the multifractal spectrum of univariate time series. The resulting multifractal Higuchi…Carlos Carrizales-Velazquez, Reik V. Donner, Lev Guzmán-Vargas·May 24, 2021SaveLearn
Extraction of physically meaningful endmembers from STEM spectrum-images combining geometrical and statistical approachesThis article addresses extraction of physically meaningful information from STEM EELS and EDX spectrum-images using methods of Multivariate Statistical Analysis. The problem is interpreted in terms…Pavel Potapov, Axel Lubk·May 21, 2021SaveLearn
Uncertainty Aware Learning for High Energy PhysicsMachine learning techniques are becoming an integral component of data analysis in High Energy Physics (HEP). These tools provide a significant improvement in sensitivity over traditional analyses by…Aishik Ghosh, Benjamin Nachman, Daniel Whiteson·May 18, 2021SaveLearn
The mini-DST: a high-level LCIO formatA new LCIO-based data format called mini-DST has been developed, which combines Particle Flow Object (PFO) and event-level information, including the output of the most important high-level…Shin-ichi Kawada·May 18, 2021SaveLearn
Autonomous Experiments for Neutron Three-Axis Spectrometers (TAS) with Log-Gaussian ProcessesAutonomous experiments are excellent tools to increase the efficiency of material discovery. Indeed, AI and ML methods can help optimizing valuable experimental resources as, for example, beam time…Mario Teixeira Parente, Georg Brandl, Christian Franz et al.·May 17, 2021SaveLearn
AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and BeyondAtomAI is an open-source software package bridging instrument-specific Python libraries, deep learning, and simulation tools into a single ecosystem. AtomAI allows direct applications of the deep…Maxim Ziatdinov, Ayana Ghosh, Tommy Wong et al.·May 16, 2021SaveLearn
Objective comparison of methods to decode anomalous diffusionDeviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion from the measurement…Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March et al.·May 14, 2021SaveLearn
Comment on "Reproducibility and Replication of Experimental Particle Physics Results"I would like to thank Junk and Lyons (arXiv:2009.06864) for beginning a discussion about replication in high-energy physics (HEP). Junk and Lyons ultimately argue that HEP learned its lessons the…Andrew Fowlie·May 7, 2021SaveLearn
Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories (AnDi-ELM)The study of the dynamics of natural and artificial systems has provided several examples of deviations from Brownian behavior, generally defined as anomalous diffusion. The investigation of these…Carlo Manzo·May 6, 2021SaveLearn
Appropriate basis selection based on Bayesian inference for analyzing measured data reflecting photoelectron wave interferenceIn this study, we applied Bayesian inference for extended X-ray absorption fine structure (EXAFS) to select an appropriate basis from among Fourier, wavelet and advanced Fourier bases, and we…Yasuhiko Igarashi, Fabio Iesari, Hiroyuki Setoyama et al.·May 5, 2021SaveLearn
Information theory based Electron Paramagnetic Resonance datingChronometric dating is becoming increasingly important in areas such as the Origin and evolution of Life on Earth and other planets, Origin and evolution of the Earth and the Solar System... Electron…C. Tannous, J. Gieraltowski·May 5, 2021SaveLearn
Signal estimation in On/Off measurements including event-by-event variablesSignal estimation in the presence of background noise is a common problem in several scientific disciplines. An 'On/Off' measurement is performed when the background itself is not known, being…Giacomo D'Amico, Tomislav Terzić, Jelena Strišković et al.·May 3, 2021SaveLearn
Geant4Reweight: a framework for evaluating and propagating hadronic interaction uncertainties in GEANT4Geant4Reweight is an open-source C++ framework that allows users to 1) weight tracks produced by the GEANT4 particle transport Monte Carlo simulation according to hadron interaction cross section…J. Calcutt, C. Thorpe, K. Mahn et al.·Apr 30, 2021SaveLearn
Deep Neural Network as an alternative to Boosted Decision Trees for PIDIn this paper we recreate, and improve, the binary classification method for particles proposed in Roe et al. (2005) paper "Boosted decision trees as an alternative to artificial neural networks for…Denis Stanev, Riccardo Riva, Michele Umassi·Apr 28, 2021SaveLearn
Avoiding biases in binned fitsBinned maximum likelihood fits are an attractive option when analysing large datasets, but require care when computing likelihoods of continuous PDFs in bins. For many years the widely used…V. V. Gligorov, S. Hageboeck, T. Nanut et al.·Apr 28, 2021SaveLearn
Network diffusion capacity unveiled by dynamical pathsImproving the understanding of diffusive processes in networks with complex topologies is one of the main challenges of today's complexity science. Each network possesses an intrinsic diffusive…T. A. Schieber, L. C. Carpi, P. M. Pardalos et al.·Apr 21, 2021SaveLearn
GGS: a Generic Geant4 Simulation package for small- and medium-sized particle detection experimentsThe Generic Geant4 Simulation (GGS) is a package designed to speed-up the realization and deployment of Monte Carlo simulation software based on Geant4, for small- and medium-sized high-energy…Nicola Mori·Apr 21, 2021SaveLearn
On assuring the accurate alignment of laser sheets for planar and stereoscopic PIVSeveral calibration techniques have been proposed in the literature for the calibration of two-component two-dimensional (2C-2D) particle image velocimetry (PIV) and three-component two-dimensional…Muhammad Shehzad, Sean Lawrence, Callum Atkinson et al.·Apr 21, 2021SaveLearn
Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to AtomsRecent advances in imaging from celestial objects in astronomy visualized via optical and radio telescopes to atoms and molecules resolved via electron and probe microscopes are generating immense…Maxim Ziatdinov, Sergei Kalinin·Apr 20, 2021SaveLearn
End-to-End Jet Classification of Boosted Top Quarks with the CMS Open DataWe describe a novel application of the end-to-end deep learning technique to the task of discriminating top quark-initiated jets from those originating from the hadronization of a light quark or a…Michael Andrews, Bjorn Burkle, Yi-fan Chen et al.·Apr 19, 2021SaveLearn
Detrended fluctuation analysis of earthquake dataThe detrended fluctuation analysis (DFA) is extensively useful in stochastic processes to unveil the long-term correlation. Here, we apply the DFA to point processes that mimick earthquake data. The…Takumi Kataoka, Tomoshige Miyaguchi, Takuma Akimoto·Apr 19, 2021SaveLearn
Efficient Bayesian estimation of permutation entropy with Dirichlet priorsEstimation of permutation entropy (PE) using Bayesian statistical methods is presented for systems where the ordinal pattern sampling follows an independent, multinomial distribution. It is…Douglas J. Little, Joshua P. Toomey, Deb M. Kane·Apr 19, 2021SaveLearn
Efficiency corrections for mutually inclusive variables and particle identification effect for mixed-cumulants in heavy-ion collisionsMix-cumulants of conserved charge distributions are sensitive observables for probing properties of the QCD medium and phase transition in heavy-ion collisions. To perform precise measurements,…Arghya Chatterjee, Toshihiro Nonaka, ShinIchi Esumi et al.·Apr 13, 2021SaveLearn
Bayesian model selection: Application to adjustment of fundamental physical constantsThe location-scale model is usually present in physics and chemistry in connection to the Birge ratio method for the adjustment of fundamental physical constants such as the Planck constant or the…Olha Bodnar, Viktor Eriksson·Apr 5, 2021SaveLearn