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Every paper Pith has read. Search by title, abstract, or pith.
316 papers in physics.data-an · page 4
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The paper introduces new public simulated signal benchmarks for resonant anomaly…
Kitchen Sink Anomaly Detection
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MCMC maintains 95 percent coverage in constrained gamma unmixing
Bayesian approach for uncertainty quantification of hybrid spectral unmixing in $\gamma$-ray spectrometry
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Bayesian statistics justifies naturalness without aleatoric uncertainty
It's all in your head -- fine-tuning arguments do not require aleatoric uncertainty
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Simple formulas approximate quantiles for normal
Simple approximations of some statistical functions
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Causal Rees algebra counts component mergers via module dimensions
Causal Edge Rees Algebras for Spatiotemporal Graphs
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One foundation model unifies three DIRC detector tasks
Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC Detector
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XAI ranking places Integrated Gradients and DeepLIFT at top for cancer explanations
Ranking XAI Methods for Head and Neck Cancer Outcome Prediction
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Population priors correct biases in gravitational-wave estimates
Gravitational-wave astronomy requires population-informed parameter estimation
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Best LLMs score below 50% on real physics research tasks
PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research
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Real-time classifier recovers 22 of 24 known SLSNe
NOMAI : A real-time photometric classifier for superluminous supernovae identification. A science module for the Fink broker
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The paper builds a prototype that uses open-weight LLMs to read high-energy physics papers
Development of an LLM-Based System for Automatic Code Generation from HEP Publications
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New benchmark launches ML challenge for weak lensing cosmology
FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology
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Albatross trajectories lie closest to wind-shear effort bound
Seabird trajectories map onto a reduced optimal-control bound for dynamic soaring
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Membrane multiplicative noise silences spiking networks most
General aspects of internal noise in spiking neural networks
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Kr-83 data keeps key parameter stable with select metrics
Physics-driven Comparative Analysis of Various Statistical Distance Metrics and Normalizing Functions
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Simulation-based inference recovers parameters from noisy analogue black hole spectra
Spectroscopy of analogue black holes using simulation-based inference
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The paper demonstrates that a foundation model pre-trained on high-energy proton-proton…
Cross-Domain Transfer with Particle Physics Foundation Models: From Jets to Neutrino Interactions
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Descriptors split hydride capacity from room-temperature pressure
A unified descriptor framework for hydrogen storage capacity and equilibrium pressure in interstitial hydrides
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Jacobian of transport map sets density growth in cosmic structures
Emergence of Complex Web Structures
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Exact surface correlation formulas obtained for all dead-leaves models
Surface correlation functions of dead-leaves models
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Null projection retains 1-χ² Fisher info in TRY interferometers
Optimal Null-Constrained Source-Basis Sensing in a Time-Reversed Young Interferometer
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Uncoupled topology delivers equivalent memory to coupled reservoirs
Vestibular reservoir computing
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Lasso accurately recovers parameters in small Blume-Capel networks
Blume-Capel model: Estimation of a three stable state network for $-\bf 1$, $\bf 0$ and $\bf +1$ data
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GAPE lifts PROSPECT neutrino signal ratio by nearly 2.8 times
New Deep Learning Data Analysis Method for PROSPECT using GAPE: Genetic Algorithm Powered Evolution
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Pulsar spin model clashes with stationary GWB signals
Stochastic problems in pulsar timing
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Three metrics pick best defect images from thermography sequences
Data-Driven Automated Identification of Optimal Feature-Representative Images in Infrared Thermography Using Statistical and Morphological Metrics
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Three methods agree on mass transfer rates from X-ray tomography
Quantifying Injection-Driven Mass Transfer within Porous Media via Time-Elapsed X-ray micro-Computed Tomography
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Copula likelihood shifts S8 by one sigma in 1000 deg² weak-lensing surveys
The Non-Gaussian Weak-Lensing Likelihood: A Multivariate Copula Construction and Impact on Cosmological Constraints
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Neural operator infers sound absorber admittance from near-field data
Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers
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Orthogonal polynomials make Savitzky-Golay filters faster and far more accurate
Fast and accurate noise removal by curve fitting using orthogonal polynomials
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Physics-informed model spots single-peptide phosphorylation in nanopores
Resolving Single-Peptide Phosphorylation Dynamics in Plasmonic Nanopores using Physics-Informed Bi-Path Model
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Binned fits bias muon-temperature correlation estimates
Biases in the Determination of Correlations Between Underground Muon Flux and Atmospheric Temperature
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Reservoir computing times tipping events in complex systems
Anticipating tipping in spatiotemporal systems with machine learning
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Vanishing curvature makes whitening updates path-independent
Gauge Theoretic Signal Processing I: The Commutative Formalism for Single-Detector Adaptive Whitening
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Jeffreys prior reconstructs trade networks from partial data
Network Reconstruction via Jeffreys Prior under Missing Sufficient Statistics
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Neural networks replace Gaussian processes in PTA gravitational-wave inference
Replacing Gaussian Processes with Neural Networks in Pulsar Timing Array Inference of the Gravitational-Wave Background
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FluxMC converges black-hole binary signals in hours instead of days
FluxMC: Rapid and High-Fidelity Inference for Space-Based Gravitational-Wave Observations
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Neural method estimates battery parameters in milliseconds
Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries
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Biased simulations yield unbiased signal fractions
Many Wrongs Make a Right: Leveraging Biased Simulations Towards Unbiased Parameter Inference
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Quantum circuit learns cell communication as state shift
QuantumXCT: Learning Interaction-Induced State Transformation in Cell-Cell Communication via Quantum Entanglement and Generative Modeling
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Correlations reveal how lockdowns shaped SARS-CoV-2 spread in Mexico
Correlation analysis of the dispersion of SARS-CoV-2 in Mexico
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TESS asteroseismology measures masses of 10k red giants at 7.5% precision
Global asteroseismology of 19,000 red giants in the TESS Continuous Viewing Zones
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Workflow finds alternative states and key observables in climate simulations
Alternate states and intermingledness in complex high-dimensional systems
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AI strengthens coupling across Earth system spheres
Toward Artificial Intelligence Enabled Earth System Coupling
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GPU speeds Bayesian spectral analysis over 500x
GPU-Accelerated Sequential Monte Carlo for Bayesian Spectral Analysis
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Spatial Gaussians recover SDE generators sparsely without bias
Data-Driven Weak-form Discovery of Stochastic Systems
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Spatial kernels remove bias from stochastic generator recovery
Data-Driven Weak-form Discovery of Stochastic Systems
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Blind time-series analysis recovers Planck-scale gravity noise
From the Stochastic Embedding Sufficiency Theorem to a Superspace Diffusion Framework
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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