astrophysics 1dark matter haloes 1intrinsic alignment 1large language models 1large-scale environment 1n-body simulations 1physics 1project planning 1proposal evaluation 1scientific proposal generation 1weak lensing 1
From the 2 of 3 linked papers with an AI index.
3 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…