Topological Analysis on Firn Data
鍾佑民博士Dept of Math, College of William and Mary 下午 3:30–5:00 鴻經館 107 室Abstract:
Firn is a type of snow and is at an intermediate stage between snow and glacial ice. Most importantly, its structure reveals the climate information in certain ways. We use computational topology, which is a natural way to describe the shape of an object, to explore the firn structure. The main difficulty is that the data is noisy, but with the topological tool, in particular persistent homology, the robust features can be extracted from the noisy data. In this talk, we will give a brief introduction to computational topology and persistence homology, and analyze the firn structure by these topological tools . This is joint work with Sarah Day, and Kaitlin Keegan.