Wood-Vasey DOE #SC0011834 Final Report

doi:https://doi.org/10.2172/1376684

Title: Wood-Vasey DOE #SC0011834 Final Report

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Abstract

During the past reporting period (Year 3), this grant has provided partial support for graduate students Daniel Perrefort and Kara Ponder. They have been working exploring different aspects of the technical work needed to take full advantage of the potential for cosmological inference using Type Ia supernovae (SNeIa) with LSST.

Authors:

Wood-Vasey, William Michael ^[1]

Univ. of Pittsburgh, PA (United States)

Publication Date:: 2017-08-25

Research Org.:: Univ. of Pittsburgh, PA (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)

OSTI Identifier:: 1376684

Report Number(s):: DOE-PITT-SC11834

DOE Contract Number:: SC0011834

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 79 ASTRONOMY AND ASTROPHYSICS

Citation Formats


                    Wood-Vasey, William Michael. Wood-Vasey DOE #SC0011834 Final Report.  United States: N. p., 2017. 
        Web.  doi:10.2172/1376684.

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                    Wood-Vasey, William Michael. Wood-Vasey DOE #SC0011834 Final Report.  United States.  https://doi.org/10.2172/1376684

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                    Wood-Vasey, William Michael. Fri .  
        "Wood-Vasey DOE #SC0011834 Final Report".  United States.  https://doi.org/10.2172/1376684.  https://www.osti.gov/servlets/purl/1376684.

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@article{osti_1376684,

  title        = {Wood-Vasey DOE #SC0011834 Final Report},

  author       = {Wood-Vasey, William Michael},

  abstractNote = {During the past reporting period (Year 3), this grant has provided partial support for graduate students Daniel Perrefort and Kara Ponder. They have been working exploring different aspects of the technical work needed to take full advantage of the potential for cosmological inference using Type Ia supernovae (SNeIa) with LSST.},

  doi          = {10.2172/1376684},

  url          = {https://www.osti.gov/biblio/1376684},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2017},

  month        = {8}

}

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