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PRODID:UW-Madison-Physics-Events
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SEQUENCE:0
UID:UW-Physics-Event-9133
DTSTART:20250313T203000Z
DTEND:20250313T213000Z
DTSTAMP:20260413T201349Z
LAST-MODIFIED:20250227T185544Z
LOCATION:4421 Sterling Hall
SUMMARY:Mapping the Milky Way in n-Dimensions\, Astronomy Colloquium\,
  Andrew Saydjari\, Harvard University
DESCRIPTION:Interstellar dust is a pervasive observational challenge\,
  but also a vital window for understanding the Galaxy. By mapping the 
 spatial\, kinematic\, and chemical complexity of dust\, we trace the p
 rocesses that shape star formation\, galactic structure\, and chemical
  evolution. Creating these maps requires working at the intersection o
 f statistical methods development and "big-data" astronomy\, curating 
 large photometric and spectroscopic surveys. I will describe two such 
 intersectional efforts: 3D-dust mapping from near-infrared photometry 
 and kinematic/chemical mapping with diffuse interstellar bands from AP
 OGEE. Throughout\, I will emphasize the power of data-driven statistic
 al-learning techniques for disentangling this precious dust signal fro
 m contributions originating from stars or sky.
URL:https://www.physics.wisc.edu/events/?id=9133
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