Speakers

Astronomy Colloquium - "Locating Holes in the Cosmic Web with Topological Data Analysis"

Event Type

Seminar/Symposium

Sponsor

Department of Astronomy

Date

Mar 23, 2021   3:45 pm  

Speaker

Dr. Jessi Cisewski Kehe, University of Wisconsin

Contact

Rebecca Bare

E-Mail

rsbare@illinois.edu

Phone

217-265-8226

Views

69

Originating Calendar

Astronomy Colloquium Speaker Calendar

Data exhibiting complicated spatial structures are common in many areas of science (e.g., cosmology, biology), but can be difficult to analyze. Persistent homology is an approach within the area of Topological Data Analysis (TDA) that offers a framework to represent, visualize, and interpret complex data by extracting topological features which may be used to infer properties of the underlying structures. For example, TDA is a beneficial technique for analyzing intricate and spatially complex web-like data such as fibrin or the large-scale structure (LSS) of the Universe. The output from persistent homology, called persistence diagrams, summarizes the different order holes in the data (e.g., connected components, loops, voids). I will discuss how persistent homology can be used to locate statistically significant cosmological voids and filament loops in the LSS of the Universe.

Topic: Astronomy Colloquium (SP2021)
Time: This is a recurring meeting Meet anytime

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