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PRODID:UW-Madison-Physics-Events
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SEQUENCE:0
UID:UW-Physics-Event-3303
DTSTART:20140227T213000Z
DURATION:PT1H0M0S
DTSTAMP:20260419T194003Z
LAST-MODIFIED:20140220T203909Z
LOCATION:4421 Sterling Hall
SUMMARY:Scaling Computational Astrophysics\, Astronomy Colloquium\, Ma
 tthew Turk\, Columbia University
DESCRIPTION:The term "Big Data" means different things to different pe
 ople\; often it's used to describe unstructured or semi-structured rec
 ords\, or fast-moving data that has to be processed quickly to be of a
 ny use\, or just a huge volume of data that stretches the limits of ma
 ny computing systems.  In this talk\, I will present how simulation an
 d analysis have attempted to respond to the challenges of "big data" n
 ot as a goal in and of itself\, but as a by-product of trying to use i
 ncreasingly rich simulation data to study complex physical processes.<
 br>
\n I will describe new avenues in understanding how the first star
 s in the universe formed\, the simulation platform Enzo (enzo-project.
 org)that enables us to study these objects\, and where furthering our 
 understanding requires advancing the state of the art in hydrodynamic 
 studies.  I will present the analysis and visualization platform yt(yt
 -project.org)\, and its aim to provide a lingua franca for astrophysic
 al phenomena\, empowering individuals to ask complex and detailed ques
 tions of data.  Finally\, I will discuss the communities that have gro
 wn around these platforms\, how retaining a focus on self-directed sci
 entific inquiry has allowed collaboration to flourish between research
 ers\, and why collaboration and community is the next great scaling ch
 allenge for computational astrophysics.
URL:https://www.physics.wisc.edu/events/?id=3303
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