Multivariate cumulants in flow analyses: The Next Generation
Ante Bilandzic, Marcel Lesch, Cindy Mordasini et al.
Data Analysis papers — page 30
physics.data-anBrowse archive
Neural Network for 3D ICF Shell Reconstruction from Single Radiographs
Bradley T. Wolfe, Zhizhong Han, Jonathan S. Ben-Benjamin et al.Random Conical Tilt Reconstruction without Particle Picking in Cryo-electron Microscopy
Ti-Yen Lan, Nicolas Boumal, Amit SingerPersistent Homology of Fractional Gaussian Noise
H. Masoomy, B. Askari, M. N. Najafi et al.Bayesian inference of 1D activity profiles from segmented gamma scanning of a heterogeneous radioactive waste drum
Eric Laloy, Bart Rogiers, An Bielen et al.A data-driven convergence criterion for iterative unfolding of smeared spectra
M. Licciardi, B. QuilainEstimating Experimental Dispersion Curves from Steady-State Frequency Response Measurements
V. V. N. Sriram Malladi, Mohammad I. Albakri, Manu Krishnan et al.Bayesian Analysis of a Future Beta Decay Experiment's Sensitivity to Neutrino Mass Scale and Ordering
A. Ashtari Esfahani, M. Betancourt, Z. Bogorad et al.Image-Based Jet Analysis
Michael KaganMaximum Entropy competes with Maximum Likelihood
A. E. Allahverdyan, N. H. MartirosyanMaximum-likelihood parameter estimation in terahertz time-domain spectroscopy
Laleh Mohtashemi, Paul Westlund, Derek G. Sahota et al.Machine Learning scientific competitions and datasets
David Rousseau, Andrey UstyuzhaninParticle Track Reconstruction using Geometric Deep Learning
Yogesh Verma, Satyajit JenaUniform reliability tests for forecasting systems with small lead time
Jochen BröckerExperimental noise in small-angle scattering can be assessed using the Bayesian indirect Fourier transformation
Andreas Haahr Larsen, Martin Cramer PedersenWhat the new RooFit can do for your analysis
Stephan HageboeckThe electrostatic graph algorithm: a physics-defined method for converting a time-series into a weighted complex network
Dimitrios Tsiotas, Lykourgos Magafas, Panos ArgyrakisCosmic Background Removal with Deep Neural Networks in SBND
SBND Collaboration, R. Acciarri, C. Adams et al.Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics
Raghav Kansal, Javier Duarte, Breno Orzari et al.An algorithm for the automatic deglitching of x-ray absorption spectroscopy data
Samuel M. Wallace, Marco A. Alsina, Jean-François GaillardExplainable AI for ML jet taggers using expert variables and layerwise relevance propagation
Garvita Agarwal, Lauren Hay, Ia Iashvili et al.Sensitivity optimization of multichannel searches for new signals
Giovanni PunziA novel approach to the localization and the estimate of radioactivity in contaminated waste packages via imaging techniques
Michele Pastena, Bastian Weinhorst, Günter Kanisch et al.Formation of Regression Model for Analysis of Complex Systems Using Methodology of Genetic Algorithms
Anatolii V. Mokshin, Vladimir V. Mokshin, Diana A. MirziyarovaAnalysis of a bistable climate toy model with physics-based machine learning methods
Maximilian Gelbrecht, Valerio Lucarini, Niklas Boers et al.