4 papers
NERV: Neural-network Enhanced Reconstruction of the UniVerse with Application to Baryon Acoustic Oscillations in the BOSS DR12 Galaxy Sample
Shi-Hui Zang, Hong-Ming Zhu, Tian-Xiang Mao +1
We present the first application of neural-network-based baryon acoustic oscillation (BAO) reconstruction to real galaxy survey data, restoring the acoustic signature damped by non…
MadEvolve: Evolutionary Optimization of Cosmological Algorithms with Large Language Models
Tianyi Li, Shihui Zang, Moritz Münchmeyer
We develop a general framework to discover scientific algorithms and apply it to three problems in computational cosmology. Our code, MadEvolve, is similar to Google's AlphaEvolve,…
Squeezed Limit non-Gaussianity Estimation with Cosmic Shear
Shi-Hui Zang, Moritz Münchmeyer
We present a new method to constrain local primordial non-Gaussianity using the large-scale modulation of the local lensing power spectrum. Our work extends our recently proposed $…
Cosmic tidal reconstruction in redshift space
Shi-Hui Zang, Hong-Ming Zhu, Marcel Schmittfull +1
The gravitational coupling between large- and small-scale density perturbations leads to anisotropic distortions to the local small-scale matter fluctuations. Such local anisotropi…