GPU forward model runs 600x faster
A fully differentiable JAX pipeline makes mock galaxy maps cheap enough for simulation-based inference.
· “Fast GPU-Powered and Auto-Differentiable Forward Modeling of IFU Data Cubes”
physics.data-an
Data Analysis, Statistics and Probability
Methods, software and hardware for physics data analysis: data processing and storage; measurement methodology; statistical and mathematical aspects such as parametrization and uncertainties.
sort pith recommended most recent
Glitch masking returns galactic binaries to clean-data accuracy
Glitch masking restores galactic-binary frequencies to 1 ppm; planned gaps still widen black-hole error bars 2-3x.
· “Extraction of gravitational wave signals from LISA data in the presence of artifacts”
Two log-law regimes replace Kolmogorov scaling near the wall
Viscous-layer velocity jumps stay non-Gaussian at every scale, even the largest.
· “Structure functions and flatness of streamwise velocity in a turbulent channel flow”
Neutron capture gives sapphire a 1.1 keV calibration peak
Thermal neutron capture on 27Al leaves a 1113.6 eV recoil line, a source-free calibration for low-energy detectors.
Neural net sorts Hoyle decay branches with F1 up to 0.87
Training on simulated 2D track images, the net separates rare 12C decays from scattering backgrounds in a planned TPC.
Normalising flows can shrink physics likelihoods to checked files
A trained flow passes a joint-distribution test and packs a likelihood into a few megabytes, easing reuse.
Review maps ML routes for unstructured physics grids
Graph networks, transformers, and interpolation-based CNNs each fill a niche; open datasets make them testable.
· “Machine learning for modelling unstructured grid data in computational physics: a review”
FFT-based neural classifier keeps neutron/gamma accuracy at low rates
Charge-normalized FFT spectra push adversarial ROC AUC to 0.999 at 10 MS/s, where the fixed index falls to 0.751.
Tracking errors shift phi spin alignment by less than 0.0005
Simulation says resolution shifts stay under 0.0005, inside the ~0.001 uncertainty of current measurements.
· “Impact of Tracking Resolutions on φ-Meson Spin Alignment Measurement”
Cubic equation sets noise band for cross-covariance singular values
Know where random cross-correlations end; everything beyond is a candidate for a genuine shared signal.
· “Distribution of singular values in large sample cross-covariance matrices”
Sim-trained AI repairs failed detectors in attosecond streaking
Trained purely on simulation, it runs live and cuts reconstruction error roughly 30-fold versus neighbor averaging.
· “Reconstructing Time-of-Flight Detector Values of Angular Streaking Using Machine Learning”
Fused spectral edges let AI spot defects single edges miss
Trained on computed spectra, the model transfers to real X-ray and electron energy-loss maps of battery cathodes
· “Revealing Local Structures through Machine-Learning- Fused Multimodal Spectroscopy”
Reduce moral choice to one formula: utility minus a rules penalty
Rule-following enters as a penalty term, and the weight of rules vs. results is left to judges and legislators.
Forecast chaos with networks 100x smaller than reservoirs
Three cheap tweaks make random feature maps match top chaos forecasters up to 512 dimensions.
· “Learning dynamical systems with hit-and-run random feature maps”
Neural nets spot the many-body critical phase in raw spectra
Trained on plain eigenvalue spacings, the classifiers match known boundaries and reproduce scaling exponents from standard methods.
TNOs split into two birth populations
Across 696 Dark Energy Survey objects, size is shared but color and variability track place of origin.
Two Bayesian layers match full networks at a quarter of the cost
The first hidden layer and the output layer carry enough uncertainty for active learning, at a fraction of the cost.
· “Active and transfer learning with partially Bayesian neural networks for materials and chemicals”
TDI-infinity keeps LISA parameter recovery stable through data gaps
Classical TDI corrupts roughly 400 seconds of data around six one-sample gaps; the new method loses only the gap samples.
· “Robust Bayesian inference with gapped LISA data using all-in-one TDI-infty”
Fine-grained conflict lulls are lognormal
A theorem explains why day-resolution data show power laws while second-resolution streetfights show lognormals.
· “The distribution of violent event and interevent times in conflicts”
Network dynamics stay readable after node labels are stripped
Degree lists, spectra and centralities reveal periodicity, memory decay and chaos in temporal networks where node identity is lost.
· “Characterising the dynamics of unlabelled temporal networks”
Random lottery of atomic models solves crystal structures automatically
The single-atom R1 method no longer needs a human to pick fragments or delete ghost atoms between cycles.
Pre-known fragments speed up small-molecule crystal assembly
A guided single-atom search cuts computer time and misplaced atoms; fragment search only for low-resolution data.
Diffusion models hit 95% F1 despite 82% missing air-quality data
Ensemble and diffusion classifiers keep near-95% accuracy on PM2.5 levels despite a sparse urban monitoring grid.
Feature importance becomes three parts: unique
An adaptive leave-one-out score finds the feature subsets that raise and lower predictive power, revealing when features cooperate.
· “Assessing high-order effects in feature importance via predictability decomposition”
A coupling-forcing resonance appears at frequency 2
A delayed driver plus a periodic response forcing creates large oscillations neither can produce alone.
Visual analytics can reveal hidden bias in spatial analysis
Seeing data, model assumptions, and groupings can catch biases that aggregate statistics hide.
· “Toward Ethical Spatial Analysis: Addressing Endogenous Bias Through Visual Analytics”
Multifidelity UQ cuts ice-sheet uncertainty cost 91-fold
Unbiased estimators hit 1 mm sea-level accuracy in days instead of a year of supercomputer time.
· “Multifidelity Uncertainty Quantification for Ice Sheet Simulations”
93.67% coverage: geographic weighting upgrades conformal prediction
A model-agnostic wrapper gives every location its own prediction interval; bootstrapping caps out near 81%.
AI model doubles precision of antimatter annihilation positions
Trained on 2.7 million simulated events, it doubles resolution and sharpens the antimatter gravity test.
· “AI Meets Antimatter: Unveiling Antihydrogen Annihilations”
A single number per snapshot preserves temporal network dynamics
Distance-based PCA and MDS embeddings recover periodicity, memory, change points, and chaos from a network trajectory.
ML finds extreme partial descriptions that expose system organization
Beyond discrete-subsystem analyses, scanning all partial-information descriptions shows where redundancy and synergy live.
· “Surveying the space of descriptions of a composite system with machine learning”
First ray-traced axion signal for BabyIAXO matches simpler models
A full 3-D field map simulation confirms the experiment's expected vacuum sensitivity to axion-photon coupling.
· “An accurate solar axions ray-tracing response of BabyIAXO”
Delay strength flips autoresonance from decay to growth
A critical threshold $k_{\mathrm{th}}=\gamma\omega/\sin(\omega\bar{\beta})$ separates growing from fading oscillations; numerics confirm it.
Solar cycle phase lines up with Kerala's extreme rain seasons
122 years of data tie descending phase to winter and pre-monsoon floods, ascending phase to monsoon.
Rule-of-thumb solar farm layouts miss up to 23% cheaper power
Bayesian optimization over tilt and row spacing beats latitude-plus-winter-solstice design, especially on pricey land.
BLSTM net reconstructs top pairs as well as chi-squared fit
A bidirectional LSTM trained on simulated proton-proton events matches a standard fitter on top-quark momenta.
Rogue wave odds follow one log-normal curve
Laboratory seas with kurtosis near 4 confirm that exceedance probability is just the packet amplitude tail.
· “Rogue Wave Statistics from a Sparse Coherent Structure Decomposition”
HEP-ML review freezes as field outgrows exhaustive lists
Annotated starting points and a subfield map replace the 4,000-paper list.
· “The Living Guide of Machine Learning for Particle Physics”
Recurring spurious poles flag bad data points
An iterative Padé-sequence algorithm fixes noisy measurements while preserving genuine resonances.
· “Analytically Consistent Reconstruction of Finite Data Using Pad\'e Sequences”
Turning angles expose anisotropies invisible to covariance analysis
It estimates how much faster molecules move along one axis even from short, randomly oriented tracks.
A small CNN with guided attention wins on blazar forecasts
Physics-informed attention beats larger models on astrophysical light curves and matches them on milling data.
Lost climate-sensitivity signal returns through CO2 response
After the CMIP6 constraint weakens, residual alignment 0.593 recovers HadCRUT5 ECS near 3.00 K.
· “Finite-Response Complementarity in Fluctuation Constraints on Climate Sensitivity”
Fitts' law falls out of equilibrium thermodynamics
A training-free, O(1) model predicts clicks on desktop and mobile with 98.1% accuracy while prefetching at a 1.37:1 ratio.
NestyNet fits physics functions 2,100x more accurately
A segmented softplus network trained with Levenberg-Marquardt returns exact gradients, Hessians, and Laplacians.
Slope of forecast errors recovers negative Lyapunov exponents
Nearest-neighbor forecast-error decay gives contraction rates from short recovery responses, without a Jacobian.
One LASSO fit recovers Heston leverage from a price path
A single weak-form regression estimates vol-of-vol, leverage, and mean reversion without option quotes.
Open-source fitter tames 38 nuisance parameters for neutrino telescopes
IceCube's GollumFit recovers true parameter values and cuts fit time with compressed Monte Carlo events.
· “GollumFit: An IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses”
Zonal market backcast: £2.3bn a year in GB consumer savings
A calibrated model of 2022-2024 shows six zones would cut consumer costs by £9.4/MWh even as northern generators lose 30-40% of revenue.
· “Risk and Reward of Transitioning from a National to a Zonal Electricity Market in Great Britain”
New web tool merges bibliometrics
Four analysis modules, customizable charts, and AI-generated explanations aim to replace multi-tool literature review workflows.
· “MetaInfoSci: An Integrated Web Tool for Scholarly Data Analysis”
Segmented training cuts EggNet tracking cost 10x at equal accuracy
EggNet keeps ~96% track efficiency on HL-LHC-scale TrackML events while using one tenth of the training GPU memory.
· “Physics and Computing Performance of the EggNet Tracking Pipeline”
Multi-exit KANs beat single-exit KANs on nearly every benchmark
Adding small prediction branches at every layer improves accuracy and often finds a simpler model.
· “Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony”
Carbon-12's 2+ state is far more oblate than theory predicts
The measured +0.09 eb quadrupole moment exceeds ab initio predictions and calls for alpha clustering and triaxiality.
Correlated hopping reopens extended states in a localized chain
A finite fraction of states re-extends at λ≈1.55–2.1 (Fibonacci) and λ≈0.7–1.3 (Bronze Mean), beyond the localization threshold.
· “Reentrant localization in a quasiperiodic chain with correlated hopping sequences”
Hyperbolic graphs get explicit control over community mixing
Even the best hyperbolic embedding reproduces degrees and clustering but misses the block mixing patterns.
· “Random Hyperbolic Graphs with Arbitrary Mesoscale Structures”
LLN is derived, not assumed, from rotating outcome vectors
If right, probability gets a mechanical base, and early-run deviations become testable predictions.
Diffusion DA matches ensemble DA only if retrained each cycle
The training set is the prior, so matching ensemble DA demands a fresh denoiser every cycle.
Gold-nanoparticle survival curves now follow from one dose ratio
A modified local-effect model predicts cell survival from the dose-enhancement ratio alone, skipping voxel simulations.
· “Monte Carlo Simulation and Dosimetric Analysis of Gold Nanoparticles (AuNPs) in Breast Tissue”
Largest public superconductor materials database now online
Free portal unites peer-reviewed data on superconductors and the auxiliary materials their devices need.
XGBoost predicts FPSO mooring extremes in under 30 seconds
A gradient-boosted surrogate trained on ~1M simulated sea states now guides turret disconnection decisions offshore.
· “An application of machine learning to the motion response prediction of floating assets”
Sample needs track latent dimension
A protocol with error bars recovers near-true mutual information on 784-pixel images from 16,384 samples.
· “Accurate Estimation of Mutual Information in High Dimensional Data”
Exact formula gives walk survival odds at any step
It also reveals a bias threshold near $1/\sqrt{3}$ that reshapes last-passage tails.
· “Closed-form survival probabilities for biased random walks at arbitrary step number”
Bone drug lets failed brain-ultrasound ablations succeed on retry
A 6–12 month course of the osteoporosis drug raised skull density and focal temperatures, and all five repeat ablations succeeded.
First taxonomy divides Bayesian methods: physical vs data-driven
A single taxonomy sorts three decades of methods by whether the model is physical or learned from data.
· “Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends”
O-information finds which variables integrate hidden factors
The same score works for any dataset that can be summarized by latent factors, from brain scans to gene expression.
Post-merger signals could pin neutron star radii to 1 km
Combining four radius measurements through one equation of state tightens bounds to about a kilometer.
· “Prospect of Constraining the EoS of Neutron Stars Using Post-Merger Signals”
Simulation predicts how self-healing interleaves steer CFRP damage
Open-hole tension models match tests within about 13 percent, with melt-spun interleaves localizing damage.
Simulations validate GNP-modified self-healing composite interleaves
A quintilinear cohesive-law model matches measured Mode I delamination onset and ranks BMI & GNP interleaves best.
Dark energy today is w ≈ −0.7
Derived from the FLRW equations and recent BAO data, the value stays above the phantom divide at all redshifts.
Boltzmann odds beat raw odds by $1,841 in Kelly betting
Five seasons of Premier League data give Boltzmann-informed probabilities a $1,841.57 edge in Kelly-criterion betting.
Flame buoyancy cuts fuel ignition times by 2 to 5 orders
In Type Ia supernova simulations, compressed fuel near the flame may be primed for the long-sought detonation.
One statistic takes EMRIs from blind search to parameter estimates
A generalized-mean power match widens LISA's search peak, letting one laptop find and characterize signals in about a day.
· “Searching for extreme mass ratio inspirals in LISA: from identification to parameter estimation”
PolyStan computes Bayesian evidences for Stan models
A cmdstan-like interface to PolyChord gives Stan users black-box Bayes factors and sampling for hard targets.
· “PolyStan: PolyChord nested sampling and Bayesian evidences for Stan models”
Ten years of NuSTAR find no twin QPOs from M82 X-1
The 20–300 mHz oscillation is tied to the ultraluminous source, but QPO frequency alone cannot weigh it.
· “A NuSTAR study of quasi-periodic oscillations from the ultraluminous X-ray sources in M82”
Neural net plus sparse regression finds PDEs from scattered data
Recovers governing equations from non-uniform sensor data, tolerating up to 75% noise and running in under a minute.
Solar and data biases may cut human warming share to 30%
The paper argues CMIP models understate natural variability; climate sensitivity would be low and Net-Zero unnecessary.
· “Detection, attribution, and modeling of climate change: key open issues”
City streets jam past a critical vehicle birth rate
Same congestion transition in four cities and a grid; small junctions spike more than hubs.
Grouped fitting makes noisy HAXPES fits more confident
POLEVAL, a free notebook-based Python toolbox, constrains peak widths and positions across entire measurement series.
Joint albedo and snow-depth data cut glacier mass-balance error by 86%
Assimilating both observation types beats either alone and works with both tested smoothers.
· “Glacier data assimilation on an Arctic glacier: Learning from large ensemble twin experiments”
A p-value picks out genuine agreements in signed networks
Shared likes become positive links and shared dislikes negative links, once chance is filtered out by a maximum-entropy benchmark.
· “Statistically validated projection of bipartite signed networks”
Markov chains reduce response to a sum of exponentials
A single matrix formula predicts linear and nonlinear Green's functions from data, with no equations needed.
· “Interpretable and Equation-Free Response Theory for Complex Systems”
