Power Spectrum

A power spectrum analyzes the distribution of power across different frequencies or wavelengths within a signal, aiming to reveal underlying patterns and structures. Current research focuses on improving the accuracy and speed of power spectrum calculations, particularly through the development of advanced emulators (e.g., symbolic regression, neural networks) and hybrid approaches combining physics-based models with machine learning. These advancements are crucial for various fields, from cosmology (analyzing large-scale structure and constraining cosmological parameters) to medical imaging (classifying brain activity patterns in neurological disorders) and industrial quality control (assessing material homogeneity).