Adaptive Model Refinement Approach for Bayesian Uncertainty Quantification in Turbulence Model
Fanzhi Zeng, Wei Zhang, Jinping Li et al.
Data Analysis papers — page 23
physics.data-anBrowse archive
CLAS12 Track Reconstruction with Artificial Intelligence
Gagik Gavalian, Polykarpos Thomadakis, Angelos Angelopoulos et al.Geometric deep learning reveals the spatiotemporal fingerprint of microscopic motion
Jesús Pineda, Benjamin Midtvedt, Harshith Bachimanchi et al.SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
Atul Kumar Sinha, Daniele Paliotta, Bálint Máté et al.Inferring potential landscapes from noisy trajectories
J. Shepard Bryan, Prithviraj Basak, John Bechhoefer et al.HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis
Jim Pivarski, Eduardo Rodrigues, Kevin Pedro et al.Deep learning study of an electromagnetic calorimeter
Elihu Sela, Shan Huang, David HornUnifying Pairwise Interactions in Complex Dynamics
Oliver M. Cliff, Annie G. Bryant, Joseph T. Lizier et al.Accelerating Laue Depth Reconstruction Algorithm with CUDA
Ke Yue, Schwarz Nicholas, Tischler Jonathan ZRAMANMETRIX: a delightful way to analyze Raman spectra
Darina Storozhuk, Oleg Ryabchykov, Juergen Popp et al.Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics
Laurits Tani, Christian VeelkenDetermining liquid crystal properties with ordinal networks and machine learning
Arthur A. B. Pessa, Rafael S. Zola, Matjaz Perc et al.The matrix optimum filter for Low Temperature Detectors dead-time reduction
Matteo Borghesi, Marco Faverzani, Cecilia Ferrari et al.Rapid and facile reconstruction of time-resolved fluorescence data with exponentially modified Gaussians
Darien J. Morrow, Xuedan MaSystematic treatment of hypernuclear data and application to the hypertriton
P. Eckert, P. Achenbach, M. Aragones Fontbote et al.Wavescan: multiresolution regression of gravitational-wave data
Sergey KlimenkoQuantitative assessment of fitting errors associated with streak camera noise in Thomson scattering data analysis
G. F. Swadling, C. Bruulsema, W. Rozmus et al.Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers
Dameli Assalauova, Alexandr Ignatenko, Fabian Isensee et al.Estimating nonlinear stability from time series data
Adrian van Kan, Jannes Jegminat, Jonathan DongesThe Linear Template Fit
Daniel BritzgerInferring a property of a large system from a small number of samples
Damián G. Hernández, Inés SamengoQuantifying Non-Stationarity with Information Theory
Carlos Granero-Belinchon, Stéphane G. Roux, Nicolas B. GarnierDetecting frequency modulation in stochastic time series data
Adrian L. Hauber, Christian Sigloch, Jens TimmerDetecting structured sources in noisy images via Minkowski maps
Michael Andreas Klatt, Klaus MeckeBias and synergy in the self-consistent approach of data analysis of ion beam techniques
Tiago F. Silva, Cleber L. Rodrigues, Manfredo H. Tabacniks et al.