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    The Supernovae Analysis Application (SNAP)

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    Bayless_2017_ApJ_846_101.pdf
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    Description:
    FInal Published Version
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    Author
    Bayless, Amanda J. cc
    Fryer, Chris L. cc
    Wollaeger, Ryan
    Wiggins, Brandon cc
    Even, Wesley cc
    Rosa, Janie de la
    Roming, Peter W. A. cc
    Frey, Lucy
    Young, Patrick A. cc
    Thorpe, Rob
    Powell, Luke
    Landers, Rachel
    Persson, Heather D.
    Hay, Rebecca
    Show allShow less
    Affiliation
    Univ Arizona, Phys Dept
    Issue Date
    2017-09-06
    Keywords
    catalogs
    radiation mechanisms: general
    supernovae: general
    
    Metadata
    Show full item record
    Publisher
    IOP PUBLISHING LTD
    Citation
    The Supernovae Analysis Application (SNAP) 2017, 846 (2):101 The Astrophysical Journal
    Journal
    The Astrophysical Journal
    Rights
    © 2017. The American Astronomical Society. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    The SuperNovae Analysis aPplication (SNAP) is a new tool for the analysis of SN observations and validation of SN models. SNAP consists of a publicly available relational database with observational light curve, theoretical light curve, and correlation table sets with statistical comparison software, and a web interface available to the community. The theoretical models are intended to span a gridded range of parameter space. The goal is to have users upload new SN models or new SN observations and run the comparison software to determine correlations via the website. There are problems looming on the horizon that SNAP is beginning to solve. For example, large surveys will discover thousands of SNe annually. Frequently, the parameter space of a new SN event is unbounded. SNAP will be a resource to constrain parameters and determine if an event needs follow-up without spending resources to create new light curve models from scratch. Second, there is no rapidly available, systematic way to determine degeneracies between parameters, or even what physics is needed to model a realistic SN. The correlations made within the SNAP system are beginning to solve these problems.
    ISSN
    1538-4357
    DOI
    10.3847/1538-4357/aa831d
    Version
    Final published version
    Sponsors
    Southwest Research Institute Internal Research program [R8333, R8498]; NASA Astrophysical Data Analysis Program [NNH15ZDA001N-ADAP]
    Additional Links
    http://stacks.iop.org/0004-637X/846/i=2/a=101?key=crossref.923ffa4a0f22722b469bb6985da66860
    ae974a485f413a2113503eed53cd6c53
    10.3847/1538-4357/aa831d
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    UA Faculty Publications

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