164 papers
The paper introduces the Long-Integration Magnetar Burst Observatory (LIMBO), a real-time radio transient detection system at Leuschner Radio Observatory, and reports its successful monitoring of the magnetar SGR 1935+2154, which yielded 12 candidate FRB detections and established a cumulative rate-fluence power-law slope of for Galactic magnetar bursts.
The paper proposes the Extremely Large Telescope Interferometer (ELTI), a novel concept for the 2040s that combines large-format SPAD imaging sensors with the ELT's segmented architecture to enable visible-light intensity interferometry, delivering milliarcsecond resolution and quantum-limited temporal sampling for unprecedented studies of stellar surfaces, compact objects, and exoplanets.
This study predicts that the Vera C. Rubin Observatory's LSST will nearly double the current discovery rate of meter-size imminent Earth impactors to approximately 1–2 per year, with a median warning time of about 1.57 days, while also correcting the Northern Hemisphere bias of existing surveys by providing robust detection capabilities in the Southern Hemisphere.
This White Paper advocates for a coordinated UK programme integrating high-precision observations, advanced theory, and machine learning to advance Magnetohydrodynamic (MHD) seismology, thereby addressing critical solar physics challenges and enhancing space weather forecasting capabilities.
This paper demonstrates that the Qwen2.5 Large Language Model, when combined with connector networks to form a "Lightcone LLM," can effectively analyze and generate 3D cosmological maps from SKA data, outperforming standard initialization methods and matching dedicated networks of similar size for tasks like parameter regression and lightcone generation.
This paper presents the updated 2025 Physics Briefing Book for the Latin American Strategy Forum for Research Infrastructure in High Energy, Cosmology, and Astroparticle Physics (LASF4RI-HECAP), which synthesizes 46 community white papers and symposium discussions to establish a long-term strategic roadmap across seven key scientific and technical working groups.
This paper presents environmental measurements at the Sedrun Access Shaft in Switzerland, demonstrating that its low ground motion and electromagnetic background levels make it a viable site for an 800-meter atom interferometer designed to detect ultralight dark matter and gravitational waves.
This paper presents a compact, intensity-based phase retrieval method for convergent beams that utilizes a practical Fourier-transform recipe to adapt multi-plane Gerchberg-Saxton reconstruction, thereby reducing the size, weight, and cost of nonlinear curvature wavefront sensors while maintaining robustness and improving signal-to-noise ratio.
This paper introduces AREPAS, a visualization tool designed to explore the first data release of an open library of magnetospheric accretion models for T Tauri stars, enabling users to investigate various spectral types, accretion rates, and inclinations while comparing models against observational data across multiple emission lines.
This paper proposes and evaluates a 200-day ultra-high-precision astrometry survey using the Habitable Worlds Observatory to measure the masses of approximately 40 Earth-like habitable-zone planets with 10% precision, demonstrating that such measurements are feasible despite being limited by the availability of background reference stars, particularly near the Galactic poles.
This paper outlines the scientific case for using the Pollux spectropolarimeter, a high-resolution instrument with UV-to-NIR polarimetric capabilities proposed for the Habitable Worlds Observatory, to investigate the surface composition, atmospheric emissions, and aerosol properties of Solar System ocean worlds to better understand their internal saline oceans and potential for life.
SpectralUnmix is an R package that leverages PyTorch and optional GPU acceleration to perform regularized non-negative matrix factorization with spectral smoothness, demonstrated through the analysis of stellar spectra.
This white paper proposes applying Assembly Theory to planetary atmospheres as a bio-agnostic, continuous metric of chemical complexity to guide the design and data analysis of the Habitable Worlds Observatory for detecting life beyond known biochemistry.
This paper introduces Astromer 2, an enhanced foundational model for light curve analysis that leverages self-supervised pre-training on 1.5 million MACHO survey observations and weighted per-sample embeddings to significantly outperform its predecessor and prior models in classification tasks, particularly when trained with limited labeled data.
This paper introduces FLARE, an open-source, b2luigi-powered workflow orchestration tool designed to automate and manage the full data processing and Monte Carlo generation lifecycle for FCCee analyses within the Key4HEP stack.
This paper presents a fully Bayesian reanalysis of DESI DR2 data combined with CMB and supernovae, demonstrating that while frequentist methods suggest strong evidence for dynamical dark energy, Bayesian model selection largely favors the standard CDM model once calibration errors in the DES-SN5YR supernova data are corrected, revealing that the apparent tension was driven by systematic errors rather than new physics.
This paper introduces TILARA, a novel template-independent, line-by-line algorithm for deriving precise radial velocities that effectively mitigates biases from reference spectra and demonstrates performance comparable to existing methods when applied to ESPRESSO observations of the Sun-like star HD 102365.
This paper reports that one year after launch, the SVOM satellite's on-board Microchannel X-ray Telescope has successfully demonstrated its ability to localize gamma-ray burst afterglows within the required 2 arcminute uncertainty with an average positional accuracy of 40 arcseconds, enabling rapid ground dissemination for multi-wavelength follow-up observations.
This paper presents the first release of the ULTIMATE-deblending project, a comprehensive 50-band UV-to-MIR photometric catalog for the JWST/PRIMER survey that integrates space- and ground-based data to significantly improve the accuracy of photometric redshifts and enable mass-complete studies of early-universe galaxy formation.
This paper introduces a novel two-step deep learning pipeline that utilizes only intensity images to simultaneously and accurately estimate all eight degrees of freedom for misalignment and mode mismatch in optical cavities, achieving high precision without the need for complex interferometric hardware.