| Speaker: | Sihao Cheng (IAS, Princeton) |
|---|---|
| Title: | How to quantify textures and random fields in astrophysics? |
| Date (JST): | Wed, Jul 26, 2023, 10:00 - 11:00 |
| Place: | Seminar Room A |
| Abstract: |
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, and recent updates to extend this idea. I will use various examples in astrophysics and beyond to demonstrate its power, interpretability, and its advantage over traditional statistics. |
| Remarks: | Seminar Room A + Zoom |
