The Jaccard Similarity MeanThe arithmetic mean plays a central role in science and technology, being directly related to the concepts of statistical expectance and centrality. Yet, it is highly susceptible to the presence of…Gonzalo Travieso, Luciando da F. Costa·Nov 21, 2023SaveLearn
Data reduction strategy in the PandaX-4T experimentThe PandaX-4T experiment is designed for multiple purposes, including searches for solar neutrinos, weakly interacting massive particles, and rare double beta decays of xenon isotopes. The experiment…Yubo Zhou, Xun Chen·Nov 21, 2023SaveLearn
A sliding window-based algorithm for faster transformation of time series into complex networksA new alternative method to approximate the Visibility Graph (VG) of a time series has been introduced here. It exploits the fact that most of the nodes in the resulting network are not connected to…R. Carmona-Cabezas, J. Gomez-Gomez, E. Gutierrez de Rave et al.·Nov 17, 2023SaveLearn
Jackpot statistics, a physicist's approachAt a first glance lottery is a form of gambling, a game in which the chances of winning is extremely small. But upon a deeper look, considering that the Jackpot prize of lotteries is a result of the…István Gere, Szabolcs Kelemen, Zoltán Néda et al.·Nov 8, 2023SaveLearn
A quick algorithm to compute an approximated power spectral density from an arbitrary Allan deviationComplex architectures for wireless communications, digital electronics and space-based navigation interlink several oscillator-based devices such as clocks, transponders and synthesizers. Estimators…Fabrizio De Marchi, Michael K. Plumaris, Eric A. Burt et al.·Nov 1, 2023SaveLearn
Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding MethodsThe unfolding of detector effects is a key aspect of comparing experimental data with theoretical predictions. In recent years, different Machine-Learning methods have been developed to provide novel…Mathias Backes, Anja Butter, Monica Dunford et al.·Oct 25, 2023SaveLearn
Minimum Connected Dominating Set and Backbone of a Random GraphWe study the minimum dominating set problem as a representative combinatorial optimization challenge with a global topological constraint. The requirement that the backbone induced by the vertices of…Yusupjan Habibulla, Hai-Jun Zhou·Oct 24, 2023SaveLearn
Tracking the distance to criticality in systems with unknown noiseMany real-world systems undergo abrupt changes in dynamics as they move across critical points, often with dramatic consequences. Much existing theory on identifying the time-series signatures of…Brendan Harris, Leonardo L. Gollo, Ben D. Fulcher·Oct 23, 2023SaveLearn
A global significance evaluation method using simulated eventsIn High-Energy Physics experiments it is often necessary to evaluate the global statistical significance of apparent resonances observed in invariant mass spectra. One approach to determining…Kelly J Yi, Leonard G Spiegel, Zhen Hu·Oct 22, 2023SaveLearn
Improved treatment of the T2 molecular final-states uncertainties for the KATRIN neutrino-mass measurementThe KArlsruhe TRItium Neutrino experiment (KATRIN) aims to determine the effective mass of the electron antineutrino via a high-precision measurement of the tritium beta-decay spectrum in its…S. Schneidewind, J. Schürmann, A. Lokhov et al.·Oct 19, 2023SaveLearn
Blinding for precision scattering experiments: The MUSE approach as a case studyHuman bias is capable of changing the analysis of measured data sufficiently to alter the results of an experiment. It is incumbent upon modern experiments, especially those investigating quantities…J. C. Bernauer, E. W. Cline, H. Atac et al.·Oct 16, 2023SaveLearn
Simplicial complex entropy for time series analysisThe complex behavior of many systems in nature requires the application of robust methodologies capable of identifying changes in their dynamics. In the case of time series (which are sensed values…L. Guzman-Vargas, A. Zabaleta-Ortega, A. Guzman-Saenz·Oct 15, 2023SaveLearn
Designing Observables for Measurements with Deep LearningMany analyses in particle and nuclear physics use simulations to infer fundamental, effective, or phenomenological parameters of the underlying physics models. When the inference is performed with…Owen Long, Benjamin Nachman·Oct 12, 2023SaveLearn
Deep Learning for EELS hyperspectral images unmixing -- using autoencodersSpatially resolved Electron Energy-Loss Spectroscopy (EELS) conducted in a Scanning Transmission Electron Microscope (STEM) enables the acquisition of hyperspectral images (HSIs). Spectral unmixing…N. Brun, G. Lambert, L. Bocher·Oct 12, 2023SaveLearn
Simulation and Analysis of Two Toy ModelsThe matching problem and the distribution law of Galton boards with interactions are studied in this paper. The general matching problem appeals at many scenarios, such as the reaction rate of…Yifan Zhang, Qing Wang·Oct 4, 2023SaveLearn
Uncertainty of short-term Wind Power Forecasts -- A methodology for on-line AssessmentThe paper introduces a new methodology for assessing on-line the prediction risk of short-term wind power forecasts. The first part of this methodology consists in computing confidence intervals with…Georges Kariniotakis, Pierre Pinson·Oct 4, 2023SaveLearn
FunTuple: A new N-tuple component for offline data processing at the LHCb experimentThe offline software framework of the LHCb experiment has undergone a significant overhaul to tackle the data processing challenges that will arise in the upcoming Run 3 and Run 4 of the Large Hadron…Abhijit Mathad, Martina Ferrillo, Sacha Barré et al.·Oct 3, 2023SaveLearn
Pattern detection in bipartite networks: a review of terminology, applications and methodsTwo dimensional matrices with binary (0/1) entries are a common data structure in many research fields. Examples include ecology, economics, mathematics, physics, psychometrics and others. Because…Zachary Neal, Annabel Cadieux, Diego Garlaschelli et al.·Oct 2, 2023SaveLearn
An Object Condensation Pipeline for Charged Particle Tracking at the High Luminosity LHCRecent work has demonstrated that graph neural networks (GNNs) trained for charged particle tracking can match the performance of traditional algorithms while improving scalability to prepare for the…Kilian Lieret, Gage DeZoort·Sep 28, 2023SaveLearn
Neutron Scattering Cross-Section Correction Incorporating Neutron Wavelength EffectsThis study outlines a numerical methodology aimed at rectifying the neutron scattering cross-sections of fundamental elements across a range of low neutron energies typically employed in general…Karrie E. An, Guan-Rong Huang, Changwoo Do et al.·Sep 27, 2023SaveLearn
End-to-end deep learning inference with CMSSW via ONNX using dockerDeep learning techniques have been proven to provide excellent performance for a variety of high-energy physics applications, such as particle identification, event reconstruction and trigger…Purva Chaudhari, Shravan Chaudhari, Ruchi Chudasama et al.·Sep 25, 2023SaveLearn
Thermodynamically rational decision making under uncertaintyAn analytical characterization of thermodynamically rational agent behaviour is obtained for a simple, yet non--trivial example of a ``Maxwell's demon" operating with partial information. Our…Dorian Daimer, Susanne Still·Sep 19, 2023SaveLearn
Untangling The Relationship Between Power Outage and Population Activity Recovery in DisastersDespite recognition of the relationship between infrastructure resilience and community recovery, very limited empirical evidence exists regarding the extent to which the disruptions in and…Chia-Wei Hsu, Ali Mostafavi·Sep 18, 2023SaveLearn
Using Monte Carlo Tree Search to Calculate Mutual Information in High DimensionsMutual information is an important measure of the dependence among variables. It has become widely used in statistics, machine learning, biology, etc. However, the standard techniques for estimating…Nick Carrara, Jesse Ernst·Sep 15, 2023SaveLearn
Information Flow as an Emergent Property of Divergence in Phase-SpaceRecent developments have created the ability to quantify information flow among components that interact in a dynamical system, and have led to significant advances in characterizing the dependence…Praveen Kumar·Sep 13, 2023SaveLearn