15,618 papers

astro-ph.CO2026

A census of Dark Energy Survey Year 3 redMaPPer galaxy clusters in a high exposure eROSITA All Sky Survey region

P. A. Giles, A. K. Romer, J. Pilling +64

We present the cross-match of galaxy clusters detected by redMaPPer using the first three years of Dark Energy Survey (DESY3RM) operations, and the first release of the eROSITA-All…

hep-ph2026

Parton distribution functions and strong coupling constant: MSHT

T. Cridge, L. A. Harland-Lang, M. Reader +1

We present an overview of the MSHT family of global PDF fits. We describe the underlying methodology, including parameterisation choice, theoretical inputs and datasets included in…

astro-ph.GA2026

A Single Line-Emitter Identified in an Unbiased Search with JWST/NIRSpec: Multi-Object Coronagraphy for Slitless Spectroscopy

Mason S. Huberty, Claudia Scarlata, Matthew J. Hayes +13

We report the detection of a previously unknown object with a single emission line within the Hubble Ultra Deep Field, using a new JWST NIRSpec technique called Multi-Object Corona…

astro-ph.EP2026

Probing Exoplanetary Chemistry with Ariel: Scientific Priorities and Observational Strategies

Olivia Venot, Yamila Miguel, Robin Baeyens +30

Over the past two decades, increasingly precise observations have revealed that exoplanet atmospheres are chemically diverse and often far from equilibrium, with processes such as…

cs.LG2026

Conformal Adversarial Generative Ensemble

Ahmad Shahi, Mamehgol Yousefi, Brendon J. Woodford +2

Accurate time series forecasting is critical across various domains, yet traditional ensemble methods often suffer from the disproportionate influence of extreme forecasts. We intr…

astro-ph.GA2026

Euclid Quick Data Release (Q1) Euclid spectroscopy of quasars. 2. Physical properties from spectral fitting

Euclid Collaboration, J. Calhau, G. Calderone +312

A substantial volume of spectroscopic data has become available with the Euclid Data Release (Q1), which represents a unique opportunity to study quasars (QSOs) in the Euclid Deep…