Line intensity mapping (LIM) is an observational technique that probes the large-scale structure of the Universe by collecting light from a wide field of the sky. This book demonstrates a novel analysis method for LIM using machine learning (ML) technologies.
Kana Moriwaki is an assistant professor in the School of Science at the University of Tokyo. She received her Ph.D. from the University of Tokyo in 2022 and was awarded the University of Tokyo President's Grand Prize. Her interest lies in cosmological simulations and the application of machine learning techniques for astronomical data.
Introduction.- Observations of the Large-Scale Structure of the Universe.- Modeling Emission Line Galaxies.- Signal Extraction from Noisy LIM Data.- Signal Separation from Confused LIM Data.- Signal Extraction from 3D LIM Data.- Application of LIM Data for Studying Cosmic Reionization.- Summary and Outlook.- Appendix.