![School of Natural Sciences Event](/sites/default/files/styles/two_column_medium/public/2019-09/sns_default.jpg?itok=IEu1CLXj)
Princeton University Thunch Talk
How to quantify textures and random fields in astrophysics?
Extracting information from stochastic fields is a ubiquitous task in science. However, from cosmology to biology, it tends to be done either through a power spectrum analysis, which is often too limited, or the use of convolutional neural networks, which require large training sets and lack interpretability. I will present a new powerful tool called the “scattering transform”, which stands nicely between the two extremes. I will use various examples in astrophysics and beyond to demonstrate its power, interpretability, and its advantage over traditional statistics.
Date & Time
December 08, 2022 | 12:15pm – 1:15pm
Location
Hybrid Zoom and Grad Central PeytonSpeakers
Affiliation
The Institute for Advanced Study