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From the 1 of 34 linked papers with an AI index.

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20242026
most citedA Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics

29 citations · 29 across the 1 of their papers we have counts for

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34 papers

astro-ph.CO202629 cited

A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics

2pt Collaboration, Elisabeth Krause, Yosuke Kobayashi +23

The paper presents the first results of the "Beyond-2pt" community data challenge, where participants used various beyond‑two‑point galaxy clustering methods on high‑precision mock…

astro-ph.GA2026

Euclid preparation. Probing galaxy evolution within cosmic voids in Euclid-like simulations

Euclid Collaboration, G. Papini, O. Cucciati +294

The evolution of galaxies is profoundly influenced by the environment in which they reside. Cosmic voids serve as pristine laboratories for studying galaxy evolution in the relativ…

astro-ph.CO2026

Euclid preparation. XCVI. Cosmology Likelihood for Observables in Euclid (CLOE). 3. Inference and Forecasts

Euclid Collaboration, G. Cañas-Herrera, L. W. K. Goh +337

The Euclid mission aims to measure the positions, shapes, and redshifts of over a billion galaxies to provide unprecedented constraints on the nature of dark matter and dark energy…

astro-ph.CO2026

\textit{Euclid} preparation. Baryon acoustic oscillations extraction techniques: comparison and optimisation

Euclid Collaboration, E. Sarpa, A. Veropalumbo +296

We present the first end-to-end validation of the Euclid baryon acoustic oscillation (BAO) analysis pipeline, encompassing density-field reconstruction, two-point correlation funct…

astro-ph.CO2026

Testing template-fitting models for the multipoles of the two-point clustering of galaxy clusters

Euclid Collaboration, E. Tsaprazi, A. Fumagalli +274

The \textit{Euclid} satellite will deliver a catalogue of optically-selected galaxy clusters spanning from around deg in Data Release (DR) 1 to around deg

astro-ph.CO2026

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 2. Code implementation

Euclid Collaboration, S. Joudaki, V. Pettorino +345

We provide a description of the code implementation and structure of Cosmology Likelihood for Observables in Euclid (CLOE), developed by members of the Euclid Consortium. CLOE is a…