2 papers
astro-ph.CO2024
Hierarchical Clustering in CDM Cosmologies via Persistence Energy
Michael Etienne Van Huffel, Leonardo Aldo Alejandro Barberi, Tobias Sagis
In this research, we investigate the structural evolution of the cosmic web, employing advanced methodologies from Topological Data Analysis. Our approach involves leveraging LITE,…
math.AT2023
Discrete transforms of quantized persistence diagrams
Michael Etienne Van Huffel, Olympio Hacquard, Vadim Lebovici +1
Topological data analysis leverages topological features to analyze datasets, with applications in diverse fields like medical sciences and biology. A key tool of this theory is th…