output
20022026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

3,141 papers

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…

astro-ph.GA2026

Euclid: Quick Data Release (Q1) -- Exploring the detailed visual morphology of galaxies in clusters

P. Mas-Buitrago, S. Kruk, D. O'Ryan +167

Galaxy clusters provide unique laboratories for studying environmental effects on galaxy evolution. The morphology--density (--) and morphology--cluster-centric radius (--…

astro-ph.HE2026

Revisiting EBL Constraints from Gamma-Ray Observations: A Critical Assessment and Methodological Improvements

K. Abe, S. Abe, J. Abhir +185

The extragalactic background light (EBL), ranging from the infrared to the ultraviolet bands, is the second most intense photon field in the universe, surpassed only by the cosmic…

astro-ph.GA2026

ALMA Reveals an Explosive Outflow Candidate in IRAS 16119--5048

Yongquan Luo, Jianjun Zhou, Tie Liu +24

We present a multiwavelength study of the massive star formation region IRAS 16119-5048 (I16119) using ALMA ATOMS Band 3 and QUARKS Band 6 observations, complemented by archival AT…

astro-ph.SR2026

An Eccentric Massive Protobinary Assembled via a Core-merger Parabolic Encounter

Yao Wang, Yichen Zhang, Rubén Fedriani +14

Most massive stars form in binary systems, which profoundly influence their subsequent evolution. However, how such systems form remains poorly understood, with several competing s…

stat.ML2026

FluxDisco: Symbolic Regression for Stoichiometric Dynamical Systems via Monte Carlo Graph Search

Cassandra Durr, Alvaro Köhn-Luque, Chris Jewell +1

Dynamical symbolic regression methods identify governing differential equations from noisy data, balancing interpretability and predictive accuracy. However, standard methods often…