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Every paper Pith has read. Search by title, abstract, or pith.
318 papers in physics.data-an · page 5
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Outburst brightness set by particle numbers and sizes not total mass
Long-term outburst activity of comet 17P/Holmes and constraints on ejecta size distributions
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Hierarchical priors remain maxent after marginalization
Bayesian Hierarchical Models and the Maximum Entropy Principle
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Non-interacting density transfers alloy predictions zero-shot
Electronic manifolds for extrapolative alloy discovery
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Unfolding reformulated for quantum solvers in HEP
Optimization-based Unfolding in High-Energy Physics
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Symmetry operator forecasts periodic energy data without training
Symmetry-Constrained Forecasting of Periodically Correlated Energy Processes
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Six-qubit quantum reservoir hits over 86% on stock trends
A Quantum Reservoir Computing Approach to Quantum Stock Movement Forecasting in Quantum-Invested Markets
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Formulas extend fingerprinting to time-varying backgrounds
Linear Response and Optimal Fingerprinting for Nonautonomous Systems
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Nonlinear correlations drive intermittency in aggregated wind power
Collective and nonlinear structure of wind power correlations
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R package quantifies uncertainty for ratios of Poisson means
PoissonRatioUQ: An R package for band ratio uncertainty quantification
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Physically motivated priors cut Hubble tension to 2 sigma
Physically-motivated priors in the local distance ladder significantly reduce the Hubble tension
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Diagonal error bars hide whether models fit correlated data
Plotting correlated data
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Intervals attach p% belief after seeing them with 1D prior
Non-parametric finite-sample credible intervals with one-dimensional priors: a middle ground between Bayesian and frequentist intervals
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Lifting nonlinear dynamics to linear space stabilizes tracking
Variational Dimension Lifting for Robust Tracking of Nonlinear Stochastic Dynamics
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Neural network classifies microplastic fibers at 96.7% accuracy
Explainable deep-learning detection of microplastic fibers via polarization-resolved holographic microscopy
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Data-driven Langevin model reproduces opinion transitions
D-MODD: A Diffusion Model of Opinion Dynamics Derived from Online Data
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Particle physics model transfers to molecular dynamics MLIPs
OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers
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Fluctuating searcher counts admit exact first-passage formulas
Dynamic redundancy and mortality in stochastic search
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Entropy production equals four times mutual info rate plus flow
Exact Identity Linking Entropy Production and Mutual Information
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Autoencoder retains 93% signal while discarding 98% of TPC image area
Fast reconstruction-based ROI triggering via anomaly detection in the CYGNO optical TPC
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ML flags 13.6% of Ic-BL supernovae from first three points
Machine learning for the early classification of broad-lined Ic supernovae
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Symbolic regression finds equations in physical data
Introduction to Symbolic Regression in the Physical Sciences
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Running normalization collapses random matrix spectra
Renormalization group for spectral collapse in random matrices with power-law variance profiles
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Depth selection makes KAN models smaller and accurate
Optimized Architectures for Kolmogorov-Arnold Networks
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Three hyperparameters model joint water wave trajectories
Data-driven modeling of multivariate stochastic trajectories -- Application to water waves
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Bayesian protocol IDs neutron sources at 1000 events with >4 sigma
Identifying Neutron Sources using Recoil and Time-of-Flight Spectroscopy
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FCC-ee projects per-mil precision on Higgs hadronic decays
Precision Measurements of Higgs Hadronic Decay Modes at the FCC-ee
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No single statistic detects all time irreversibility
Identifying statistical indicators of temporal asymmetry using a data-driven approach
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Hadronic-mass estimator reduces bias in LArTPC neutrino energy
The High W Challenge: Robust Neutrino Energy Estimators for LArTPCs
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Deep eddies control surface forecast skill in Gulf of Mexico
The Role of Deep Mesoscale Eddies in Ensemble Forecast Performance
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Bayesian MINFLUX cuts photons for 1 nm resolution by factor of four
Bayesian MINFLUX localization microscopy
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Vari-linear model fits real networks several times better
Universal Network Generation Model via Exponential Probabilistic Growth and Vari-linear Preferential Attachment
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Binary corrections map exactly to Ising model
Analytic Marginalization over Binary Variables in Physics Data
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DALI approximates GW posteriors 55 times faster than MCMC
On the use of the Derivative Approximation for Likelihoods for Gravitational Wave Inference
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EnScale downscales climate models at one-tenth the usual cost
EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules
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Graph measures on pulsar data detect weak SGWB
Graph-based Summary Statistics for Revealing the Stochastic Gravitational Wave Background in Pulsar Timing Arrays
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Three linking rules explain gender gaps in science networks
Network Inequality through Preferential Attachment, Triadic Closure, and Homophily
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Geometric autoencoders distill multi-geometry data into Bayesian priors
Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later
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Attention simulator generates coherent multisite flood portfolios
An Attention-Based Stochastic Simulator for Multisite Extremes to Evaluate Nonstationary, Cascading Flood Risk
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CVRP unlikely for early quantum utility on NISQ hardware
Requirements for Early Quantum Utility and Quantum Utility in the Capacitated Vehicle Routing Problem
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Bayesian inference estimates room surface impedances from interior sounds
In situ estimation of the acoustic surface impedance using simulation-based inference
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Complex systems progress irreversibly through three functional stages
Recursive Hierarchical Networks and the Law of Functional Evolution: A Universal Framework for Complex Systems
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Garwood intervals best for Poisson results in physics
Confidence intervals for the Poisson distribution
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Temporal networks factor into time processes and edge probabilities
Maximum entropy temporal networks
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Trapped ion yields first quantum first-passage times
Experimental measurement of quantum first-passage-time distributions
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Decoupling reduces size dynamics to growth-homogeneous process
Size-structured populations with growth fluctuations: Feynman--Kac formula and decoupling
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Time-varying amplitudes recover transient mode activity in DMD
Dynamic mode decomposition for detecting oscillatory transient activity via sparsity and smoothness regularization
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Bayesian hierarchy turns NMR analysis into one least-squares step
Hierarchical Maximum Likelihood Estimation for Time-Resolved NMR Data
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Inner-outer scaling captures wall-pressure spectrum growth
Two-component inner--outer scaling model for the wall-pressure spectrum at high Reynolds number
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Joint covariances detect shared signals at weaker strengths
Better Together: Cross and Joint Covariances Enhance Signal Detectability in Undersampled Data
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QGANs produce financial time series matching distributions and correlations
Quantum generative modeling for financial time series with temporal correlations