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Events on Tuesday, March 12th, 2019

Chaos & Complex Systems Seminar
Big data ecology: Advancing the study of the natural world through citizen science
Time: 12:05 pm
Place: 4274 Chamberlin (refreshments will be served)
Speaker: Ben Zuckerberg, UW Department of Forest and Wildlife Ecology
Abstract: For more than a hundred years, ecology relied on carefully planned field studies focusing on a few species for a few years on a few parcels of land. These studies advanced numerous theories on how species interact with their environment, but the early 21st century ushered in a new era in the use of "big data" in ecology. Big data broadly describes large complex datasets arising from advancements in information technology and data acquisition. For ecologists, the most important stream of big data comes from citizen science programs that enlist the public in collecting observations of the natural world. Citizen scientists, equipped with both old tools (binoculars) and new technologies (smartphones), regularly collect data on where species occur across the world and are essential for documenting the ecological impacts of environmental change. I will present our recent work on the use of citizen science for studying impacts of urbanization and climate change on bird communities, and discuss the successes and challenges of big data ecology.
Host: Clint Sprott
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NPAC (Nuclear/Particle/Astro/Cosmo) Forum
gFEX: A Level 1 Calorimeter Trigger for ATLAS at the Run3 LHC (and beyond)
Time: 2:15 pm
Place: 5280 Chamberlin Hall
Speaker: Sabine Lammers , University of Indiana-Bloomington
Abstract: The Global Feature Extractor (gFEX) subsystem of the ATLAS Level 1 Calorimeter trigger is intended to enhance the selectivity of the L1 trigger and increase sensitivity to key physics channels. The gFEX identifies large-radius jets, typical of Lorentz-boosted objects, by means of wide-area jet algorithms refined with subjet information. The architecture of the gFEX permits event-by-event local pileup suppression for these jets using baseline subtraction techniques comparable to those developed for offline analyses. The gFEX architecture is also suitable for other global event algorithms such as missing Et and centrality-related variables.
Host: Kevin Black
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Council Meeting
Time: 3:30 pm
Place: 2314 Chamberlin Hall
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