July 29, 2015 to August 6, 2015
World Forum
Europe/Amsterdam timezone

Testing a novel self-assembling data paradigm in the context of IACT data

Aug 4, 2015, 4:00 PM
1h
Mississippi Foyer (World Forum)

Mississippi Foyer

World Forum

Churchillplein 10 2517 JW Den Haag The Netherlands
Board: 111
Poster contribution GA-IN Poster 3 GA

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.
Collaboration -- not specified --
Registration number following "ICRC2015-I/" 750

Primary 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)

Presentation materials

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