Poster Presentation

Emulating the Lyman alpha forest

Author(s): Atsushi J. Nishizawa (Gifu Shotoku Gakuen University)

Presenter: Atsushi J. nishizawa (Gifu Shotoku Gakuen University)

The Lyman-alpha forest, a series of absorption features in the spectra of distant quasars, provides a powerful probe of the intergalactic medium and the underlying matter distribution at high redshift. However, interpreting Lyman-alpha forest data typically relies on computationally expensive hydrodynamic simulations, which limits their utility in large-scale inference. In this talk, we present a machine learning