works on

From the 2 of 68 linked papers with an AI index.

activity
20242026
collaborators

68 papers

astro-ph.SR2026

Results from the first spectropolarimetric survey of Dor pulsators

J. Labadie-Bartz, R. Ouazzani, C. Neiner +8

Context. Magnetic fields can have an important influence on stellar structure and evolution. In intermediate-mass (A- and F-type) stars, there are many known stars with directly me…

physics.optics2026

Demonstration of a High-Q Subwavelength Dielectric Nanocylinder

Dayang Li, Simon Klinck Borregaard, Jesper Mørk +2

The authors demonstrate a subwavelength dielectric nanocylinder cavity with a quality factor exceeding 1000 by exploiting bound states in the continuum, and they analyze the mode b…

physics.ins-det2026

Fabrication status and expected performance of the inner-core X-ray optic for BabyIAXO

Jooyun Woo, Yue Yu, Ipek Altunyurt +11

BabyIAXO, a pathfinder for the International Axion Observatory (IAXO), is designed to demonstrate all key technologies at scale while achieving an improvement in sensitivity over t…

astro-ph.CO2026

Euclid: Inferring star-formation history via cross-correlations of photometric clustering and shear with the cosmic infrared background

J. Han, S. Camera, M. Migliaccio +146

The cosmic infrared background, sourced by dust heated by star-forming activity, encodes the integrated history of the star-formation distribution over a large swathe of cosmic tim…

astro-ph.GA2026

Euclid: Calibrating distances from surface brightness fluctuations with Early Release Observations of the Fornax cluster

R. Habas, M. Cantiello, G. Riccio +169

Surface brightness fluctuations (SBF), the pixel-to-pixel variations in flux that arise from the statistical distribution of stars in galaxy images, provide a powerful tool to meas…

cs.PL2026

A Fast Quantitative Analyzer for NetKAT

Thomas Lu, Qiancheng Fu, Kevin Batz +5

The paper introduces a fast analyzer for quantitative network properties using weighted NetKAT, employing a symbolic data structure and specialized algorithms to efficiently comput…