output
20032026
most citedDark energy cosmology: the equivalent description via different theoretical models and cosmography tests

2.4k citations

Showing astro-ph.IMShow all

27 papers · 1 filter

astro-ph.IM2026

Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems

Euclid Collaboration, S. H. Vincken, K. Rojas +302

We present AstroVink, a vision transformer classifier designed for automated identification of strong lens candidates in Euclid imaging. We build upon the DINOv2 encoder, fine tune…

astro-ph.IM2026

Antenna for the detection of electromagnetic audio-band disturbances on-board LISA

D. Serrano, A. Pérez-Ortega, D. Roma-Dollase +4

The LISA mission will be the first observatory to detect gravitational waves from space within the millihertz frequency band. Magnetic forces have an important impact on the instru…

astro-ph.IM2026

Euclid. Properties and performance of the NISP signal estimator

Euclid Collaboration, F. Cogato, B. Kubik +292

The Euclid spacecraft, located at the second Lagrangian point of the Sun-Earth system, hosts the Near-Infrared Spectrometer and Photometer (NISP) instrument. NISP is equipped with…

astro-ph.IM2026

ESO Expanding Horizon White Paper: Revealing the properties of matter at supranuclear densities with gravitational waves

Tim Dietrich, Tanja Hinderer, Micaela Oertel +40

Understanding dense matter under extreme conditions is one of the most fundamental puzzles in modern physics. Complex interactions give rise to emergent, collective phenomena. Whil…

astro-ph.IM2025

The Future of Evolved Planetary Systems

Roberto Raddi, Anna F. Pala, Alberto Rebassa-Mansergas +19

Understanding the formation, evolution, and chemical diversity of exoplanets are now central areas of astrophysics research. White dwarfs provide a uniquely sensitive laboratory fo…

astro-ph.IM2025

Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data

Euclid Collaboration, N. E. P. Lines, T. E. Collett +301

In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…