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Cosmic Web

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

Event Type
Seminar/Symposium
Sponsor
Department of Astronomy
Virtual
wifi event
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
13
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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