Instrumentation & methods
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- Gaussian process-based Bayesian imaging of bolometric (sub-)millimetre data
- Untangling Extreme Mass Ratio Inspirals and Massive Black Hole Binaries in LISA Data
- A Radiation-Hardened, Fault-Aware Quantized Neural Network That Self-Heals
- P-ONE-1: the first detector line of the Pacific Ocean Neutrino Experiment
- Infrasound Newtonian Noise Estimation at the Einstein Telescope Candidate Site Sos Enattos
- Gravitational-wave responses and noise correlations in geometric time-delay interferometry
- High-cadence GW astrometry in the μHz gap
- Globular Clusters GMRT Pulsar Survey (GCGPS) III: ORION - a multi-beam acceleration search pipeline
- J-PLUS: Identifying Outlier Spectral Energy Distributions in the Fourth Data Release Using Unsupervised Machine Learning
- AI and The Enclosure of the Scientific Commons
- Analytical Chemistry at the Planetary Frontier
- A Multipole Technique for the Simulation and Analysis of Gravitational Waveforms from Extreme Mass Ratio Inspirals
- Twenty-five years of XMM-Newton EPIC-MOS2 Unfocused Particle Background: Solar Cycle Modulation, Galactic Cosmic-Ray Correlation, and Implications for NewAthena
- Localizing binary neutron stars with the Einstein Telescope: a full Bayesian comparison of the triangular and 2L configurations
- Deglobalising the fit: how to search for physics beyond vacuum General Relativity in LISA catalogues
- Graph Neural Networks for Astrophysics and Cosmology
- The science case for an in-situ measurement platform in the Venus clouds
- Linear Polarimetry of the Solar Corona during the Total Solar Eclipse of 8 April 2024: Multi-Band Observations and HDR Imaging
- Searching for lensed gravitational waves with unlensed templates
- HyQ-LC: Improving Light-Curve Classification with Hybrid Quantum--Classical Learning
- Plate-YOLO: An End-to-End Object Detection Framework for Robust Astrometric Registration of Historical Plates
- MADGRAV: a multilevel anomaly-detection pipeline for gravitational-wave searches applied to LIGO data
- Error Propagation from Integral Moments and Spectral Derivatives of Stokes Profiles to Magnetic Observables
- Consistency and precision of very long baseline interferometry source coordinate time series
- A deep learning algorithm for black hole spin estimation using hot-spot secondary images