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Every paper Pith has read. Search by title, abstract, or pith.
314 papers in physics.data-an · page 2
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Entry angle controls bolide infrasound detection
The Role of Source Geometry and Atmospheric Propagation in Global Bolide Infrasound Detectability
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Neural network matches chi-squared fits on neutrino mass ordering
Predicting the Neutrino Mass Ordering Using Neural Networks
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Spin models capture high-order correlations in discrete data
Modeling Discrete Data with High-Order Vector Potts Models
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Fixing mean in DRW fits underestimates tau uncertainties
The Information Content of Quasar Variability Light Curves: How Well Can we Infer Stochastic Model Parameters?
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caCoh hypergraphs recover couplings with higher contrast than MSC graphs
Hypergraphs from multivariate connectivity: caCoh-based EEG/MEG representation
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CIGAR method removes volume fluctuations from proton cumulants
Proton High-Order Cumulants in Au+Au Collisions at High Baryon Density from JAM with a Centrality-Independent Framework
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Voigt profile wins statistical test for 6.7 GHz maser spectrum
Bayesian estimation of spectral parameters of the 6.7-GHz methanol maser G339.884-1.259 from GRAO observations
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Latent default paths induce correlation via time aggregation
Temporal Coarse-Graining of Latent Default-Probability Paths Generates Effective Default Correlation
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Arctan and dilogarithm give linear moments of angular Gaussian
Closed-form linear moments of the two-dimensional angular central Gaussian distribution
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Coordination metric outperforms density clustering in APT
Clustering in atom probe tomography data: coordination number metric, percolation-based parameter scaling, and size effects
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AI methods scan data for signals without model assumptions
Model-Agnostic Signal Discovery with Machine Learning: Bridging the Gap Between Theory and Practice
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Full distribution models beat direct classification for rare extremes
Forecasting threshold exceedance of atmospheric variables at a specific location
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Switching between walks and rests adds heavy tails and aging
Decomposition of Anomalous Diffusion in two-state random walks
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Diffusion sampling maps exactly to adiabatic transport in Score Hamiltonians
The Score Hamiltonian: Mapping Diffusion Models to Adiabatic Transport
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Generative models in physics face validation gaps on accuracy and power
Generative Models and Statistical Validation
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Normalized barcode variance equals affine Rényi entropy
The Topological Stability Index: A Variance-Based Measure for Persistence Barcodes
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Topology sets power-law threshold for network extreme events
Complex network topological and spectral determinants of extreme events
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BEG spin model best reproduces questionnaire distance distributions
Inverse generalised spin models of answers to questionnaires
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Pandemonium clusters one space to link patterns in both
`pandemonium`: High Dimensional Analysis in Linked Spaces
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Model-free method estimates MSD from video intensities
Model-free estimation in scattering analysis of microscopy
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Jet models scale logarithmically with size but saturate fast with data
Neural Scaling Laws for Jet Generation
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Squared loss hits a barrier at the conditional mean
Diagnosing the conditional-mean barrier in scientific machine-learning surrogates
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Occupancy law corrects bias in fractal estimates from finite trajectories
Finite-size occupancy scaling of apparent fractal dimensions in stochastic trajectories
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Markovian walk produces |x|^{-2} tails via position feedback
Emergent heavy-tailed distributions from a Markovian random walk
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Method detects 343 binary asteroid candidates in Gaia data
Follow the wobble: Statistical methods to detect astrometric binary asteroids in Gaia FPR
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Gaia data yields 343 binary asteroid candidates
Follow the wobble: Statistical methods to detect astrometric binary asteroids in Gaia FPR
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Lattice correlations dictate random-matrix spectra beyond semicircle
Random Matrix Spectra from Boltzmann-Weighted Lattice Ensembles
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Framework merges atomistic-to-macro material data in one repository
Lumina: An AI-Augmented Multiscale Material Informatics Framework for Extreme Aero-Chemo-Thermo-Mechanical Regimes
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One parameter suffices to infer signals with unknown background
Compensator-Based Inference for Signal Detection Under Unknown Background
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Distance plots estimate Hurst exponents in multivariate long-memory processes
Pairwise Distance-Diffusion Analysis (PDDA): A Geometric Framework for Estimating Hurst Exponents in Multivariate Long-Memory Processes
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Neutrino interference methods adapt to technosignature searches
Methodological Synergies between Technosignature and UHE Neutrino Searches
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Exponential activations let RBMs capture strong higher-order terms
Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines
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Bootstrapped validation gauges 4D reconstructions without references
An evaluation framework for sparse 4D (3D + time) imaging reconstruction via bootstrapped cross-validation
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Bayesian inference extends porous media acoustic characterization
Bayesian characterization of porous media using three-microphone tube method in extended frequency ranges
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Unified framework links continuous flows to graph representations
A Unified Framework for Structured Flow Modeling: From Continuous Fields to Data-Driven Representations
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Physical properties guide Bayesian selection of spectral peaks
Integrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation
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Uncertainty principle blocks Maxwell's demon
Maxwell's Demon
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Koopman mode matches escape times in noisy bistable system
Data-driven analysis of metastability in a stochastic bistable system
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vega-mir is an open-source Python library packaging nine information-theoretic metrics…
vega-mir: An information-theoretic Python toolkit for symbolic music, with applications to harmonic graphs and rubato spectra
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Entropy of heat diffusion rises monotonically on temporal networks
Conditional Entropy of Heat Diffusion on Temporal Networks
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Two embeddings per hit resolve chain conflicts in track graphs
Double Metric Learning for Building Directed Graphs with Chain Connections for the ATLAS ITk Detector
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Neural net boosts neutron-gamma ID at low signals
SINAPSE: A lightweight deep learning framework for accurate and explainable neutron-$\gamma$ discrimination
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Exact stationary PDF for reflected random walks derived analytically
An analytical approach to calculating stationary PDFs for reflected random walks with an application to BESS-based ramp-rate control
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Mapped wildfire surrogates match high-fidelity PDFs at 1000x lower cost
A geometry-aligned multi-fidelity framework for uncertainty quantification of wildfire spread
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MRF Bayesian method beats FBP in low-dose and sparse CT
Computed Tomography Reconstruction Algorithm Using Markov Random Field Model
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LLM agent finds algorithms that beat baselines on X-ray images
CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing
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Regression to the Mean and Dilution Share One Root Cause
The Same Problem by Different Names: Unifying Regression Dilution and Regression to the Mean
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Hybrid method outperforms random addition in discrete search
Improving search efficiency via adaptive acquisition function selection in discrete black-box optimization
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BB plot validates Bayes factor accuracy via distribution relationship
BB plot: A Tool for Accurate Model Selection Using Bayes factors
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JSON schema lifts LLM extraction of laser structures by up to 24%
Information Extraction of Nested Complex Structure of Quantum Cascade Lasers via Large Language Models