activity
20242026
collaborators

6 papers

astro-ph.IM2026

ESOFinder: an LLM-powered tool to help users navigate ESO documentation

P. Sánchez-Sáez, C. Reinero, M. Vioque +6

The large amount and diversity of documentation available for users of the European Southern Observatory (ESO), spanning the full observing lifecycle from proposal preparation and…

astro-ph.GA2025

Converging on the Cepheid Metallicity Dependence: Implications of Non-Standard Gaia Parallax Recalibration on Distance Measures

Louise Breuval, Gagandeep S. Anand, Richard I. Anderson +20

By comparing Cepheid brightnesses with geometric distance measures including Gaia EDR3 parallaxes, most recent analyses conclude metal-rich Cepheids are brighter, quantified as $γ…

astro-ph.SR2025

Cepheid Metallicity in the Leavitt Law (C--MetaLL) survey: VIII. High-Resolution IGRINS Spectroscopy of 23 Classical Cepheids: Validating NIR Abundances

G. Catanzaro, A. Bhardwaj, V. Ripepi +8

Context. While most chemical abundance studies of Cepheids rely on optical spectroscopy, near-infrared (NIR) observations offer advantages in terms of reduced extinction and access…

astro-ph.CO2025

The Local Distance Network: a community consensus report on the measurement of the Hubble constant at 1% precision

H0DN Collaboration, Stefano Casertano, Gagandeep Anand +35

The direct, empirical determination of the local value of the Hubble constant (H0) has markedly advanced thanks to improved instrumentation, measurement techniques, and distance es…

astro-ph.SR2025

The VMC Survey -- LIV. Anomalous Cepheids in the Magellanic Clouds Period-Luminosity relations in the near-infrared bands

Teresa Sicignano, Vincenzo Ripepi, Marina Rejkuba +12

Anomalous Cepheids (ACs) are less studied metal-poor pulsating stars ([Fe/H]<-1.5) compared to Classical Cepheids (CCs) and RR Lyrae stars. They follow distinct Period-Luminosity (…

astro-ph.SR2024

Stellar parameter prediction and spectral simulation using machine learning

Vojtěch Cvrček, Martino Romaniello, Radim Šára +2

We applied machine learning to the entire data history of ESO's High Accuracy Radial Velocity Planet Searcher (HARPS) instrument. Our primary goal was to recover the physical prope…