Speaker
Boris Bolliet
(Cambridge University)
Description
We will explain how train a neural network which evaluates the Cosmic Microwave
Background (CMB) power spectra a thousand times faster than a full Boltzmann solver. We will work with a Google Colab notebook and build a simple neural network from scratch, using training data that will be provided. We will adopt and follow the strategy presented in Alsing et al (2020), Spurio-Mancini et al (2022), and Bolliet et al (2024). Although our example is based on CMB spectra, our approach is general and applicable to a wide range of problems of interpolation in high-dimensional space.
