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    • Optimal Bayesian Experimental Design

    Metadata Updated: July 29, 2022

    Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given a parametric model - analogous to a fitting function - Bayesian inference uses each measurement "data point" to refine model parameters. Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties. A TCP socket interface allows the software to be used from experimental control software written in other programming languages. Code is developed in python and shared via GitHub's USNISTGOV organization.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.18434/M32090

    Dates

    Metadata Created Date March 11, 2021
    Metadata Updated Date July 29, 2022
    Data Update Frequency irregular

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date March 11, 2021
    Metadata Updated Date July 29, 2022
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier 8E5FC500E0A4777CE0532457068151792090
    Data First Published 2020-04-13
    Language en
    Data Last Modified 2019-07-22 00:00:00
    Category Mathematics and Statistics:Experiment design, Mathematics and Statistics:Numerical methods and software, Physics:Magnetics
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id a1306fc2-a85c-4cdf-99bc-2f2f3714797d
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/8E5FC500E0A4777CE0532457068151792090
    License https://www.nist.gov/open/license
    Program Code 006:045
    Related Documents https://doi.org/10.18434/M32090
    Source Datajson Identifier True
    Source Hash 27a3485a5807a18c2af69367e4f4c0ba62e5eece
    Source Schema Version 1.1

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