2 papers
astro-ph.CO2024
C3NN: Cosmological Correlator Convolutional Neural Network -- an interpretable machine learning tool for cosmological analyses
Zhengyangguang Gong, Anik Halder, Annabelle Bohrdt +2
Modern cosmological research in large scale structure has witnessed an increasing number of applications of machine learning methods. Among them, Convolutional Neural Networks (CNN…
astro-ph.CO2023
Beyond 32-point cosmology: the integrated shear and galaxy 3-point correlation functions
Anik Halder, Zhengyangguang Gong, Alexandre Barreira +3
We present the integrated 3-point correlation functions (3PCF) involving both the cosmic shear and the galaxy density fields. These are a set of higher-order statistics that descri…