works on

From the 2 of 6 linked papers with an AI index.

collaborators

6 papers

cs.CL2026

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology II: Project Planning and Proposal Evaluation

Jia Liu, Veena Krishnaraj, Kateryna Vovk +18

The paper evaluates the ability of current large language models to generate one‑page research project plans in physics, astrophysics, and cosmology, and compares how human reviewe…

astro-ph.IM2026

AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review

Anamaria Hell, Kateryna Vovk, Veena Krishnaraj +18

We investigate how well large language models (LLMs) can assist with literature reviews for scientific research. We perform a controlled study of eight expert-conceived research pr…

astro-ph.CO2026

The Environmental Dependence of Halo Intrinsic Alignments: Stronger Signals in Underdense Regions

Masaya Ichikawa, Jingjing Shi, Toshiki Kurita +3

The paper investigates how the intrinsic alignment of dark matter haloes varies with large‑scale environment, finding that haloes in underdense regions show stronger alignment than…

astro-ph.CO2026

Cosmological hydrodynamical simulations of clustering dark energy with Nefertiti

Linda Blot, Théo Gayoux, Fabian Schmidt +2

We present the first cosmological simulations that consistently include nonlinear clustering dark energy evolved as a fluid with the numerical hydrodynamics code Nefertiti. Dark en…

astro-ph.CO2026

Euclid preparation: LXXXVII. Non-Gaussianity of 2-point statistics likelihood: Precise analysis of the matter power spectrum distribution

Euclid Collaboration, J. Bel, S. Gouyou Beauchamps +281

We investigate the non-Gaussian features in the distribution of the matter power spectrum multipoles. Using the COVMOS method, we generate 100\,000 mock realisations of dark matter…

astro-ph.CO2025

Impact of Simulation Box Size for Weak Lensing: Replication and Super-Sample Effects

Akira Tokiwa, Adrian E. Bayer, Joaquin Armijo +6

We quantify the bias caused by small simulation box size on weak lensing observables and covariances, considering both replication and super-sample effects for a range of higher-or…