Speaker
Amanda Weinstein
(Iowa State University)
Description
The process of gathering and associating data from multiple sensors or sub-detectors due to a common physical event (the process of event-building) is used in many fields, including high-energy physics and gamma-ray astronomy. The problem of fault tolerance in event-building is a difficult one, and one that becomes increasingly difficult with higher data throughput rates and increasing numbers of sub-detectors. We draw on biological self-assembly models in the development of a novel event-building paradigm that treats each packet of data from an individual sensor or sub-detector as if it were a molecule in solution. Just as molecules are capable of forming chemical bonds, “bonds” can be defined between data packets using metadata-based discriminants. A database—which plays the role of a beaker of solution---continually selects pairs of assemblies at random to test for bonds, which allows single tiles and small assemblies to aggregate into larger assemblies. During this process higher-quality associations supersede spurious ones. The database thereby becomes fluid, dynamic, and self-annealing rather than static. We will describe tests of the self-assembly paradigm using our first fluid database prototype and data from the VERITAS gamma-ray observatory.
Registration number following "ICRC2015-I/" | 750 |
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Collaboration | -- not specified -- |
Author
Amanda Weinstein
(Iowa State University)
Co-authors
Dr
Cameron Rulten
(University of Minnesota)
Dr
John Quinn
(University College Dublin)
Lucy Fortson
(University of Minnesota)
Prof.
Robyn Lutz
(Iowa State University)
Dr
Tom Brantseg
(Iowa State University)