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VERSION:2.0
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PRODID:UW-Madison-Physics-Events
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SEQUENCE:0
UID:UW-Physics-Event-9005
DTSTART:20241206T200000Z
DTEND:20241206T213000Z
DTSTAMP:20260413T205315Z
LAST-MODIFIED:20241112T215729Z
LOCATION:5310 Chamberlin
SUMMARY:Topological Data Analysis for Cosmology\, Preliminary Exam\, J
 acky Yip\, Physics PhD Graduate Student
DESCRIPTION:The shape of data contains a great deal of information. We
  apply persistent homology\, a tool in topological data analysis\, to 
 build summary statistics from the topology of the large-scale structur
 e of the universe at late times. Employing the Quijote simulations\, w
 e perform a Fisher forecast and obtain constraints on cosmological par
 ameters and primordial non-Gaussianity amplitudes. The result is that 
 our topological summary is generally more informative compared with co
 nventional 2-point and 3-point statistics\, and combining the approach
 es allows for more constraining power due to breaking parameter degene
 racies. We also demonstrate a pipeline for inference.
URL:https://www.physics.wisc.edu/events/?id=9005
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