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Prépublication · 2026 arXiv EN

Opening the Black Box: What Neural Networks Learn from Pulsar Timing Array Data

In recent years, simulation-based inference (SBI) methods have been proposed to address several data-analysis challenges faced by existing and planned gravitational-wave experiments. For example, SBI classification has recently been shown to significantly impr...

James Alvey, Andrea Mitridate et al. #astro-ph.IM

Prépublication · 2026 arXiv EN

Assessment of sky brightness in central Portugal: the Dark Sky destination "Aldeias do Xisto" case study

A combination of remote sensing techniques, open space data and field testing was developed to derive astronomical and meteorological parameters and assess Dark Sky brightness of the hitherto unstudied Schist Villages region in the mountainous Interior Center...

Domingos Barbosa, Dalmiro Maia et al. #astro-ph.IM

Prépublication · 2026 arXiv EN

The Fast Transient Foreground Fog of LSST

Studies with 1-m class telescopes have now established that glints from satellites and space debris are the main obstacles to searches for sub-minute optical transients. Here, we report a study of this foreground using observations from the Legacy Survey of Sp...

G. Megias Homar, S. R. Kulkarni et al. #astro-ph.IM

Prépublication · 2026 arXiv EN

Constrained Diffusion for Data-Scarce Orbital Monte Carlo in Constellation Tasking

Constellation Monte Carlo results depend on the orbital population used to evaluate a tasking policy. With scarce reference trajectories, replay limits geometric diversity, while independent orbital-element jitter can violate physical constraints. We study con...

Omar Ramadan, Sam Siavoshian et al. #astro-ph.IM