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FCpy: Feldman-Cousins Confidence Interval Calculator

Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian processes with a physical lower limit of 0.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2022-08-19 00:00:00
Date Created: N/A
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Data Provided by:
python
Dataset Owner: N/A

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Table representation of structured data
Title FCpy: Feldman-Cousins Confidence Interval Calculator
Description Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian processes with a physical lower limit of 0.
Modified 2022-08-19 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:evan.groopman@nist.gov
Keywords Python , SIMS , Statistics , Mass Spectrometry , Confidence Interval , CI , Feldman , Cousins , Poisson , Gaussian
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    "accessLevel": "public",
    "contactPoint": {
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        "fn": "Evan Groopman"
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    "@type": "dcat:Dataset",
    "description": "Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian processes with a physical lower limit of 0.",
    "language": [
        "en"
    ],
    "title": "FCpy: Feldman-Cousins Confidence Interval Calculator",
    "distribution": [
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            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2755\/FCpy.zip",
            "description": "Python scripts and documentation for calculating Feldman-Cousins confidence intervals for low-count Poisson processes",
            "mediaType": "application\/x-zip-compressed",
            "title": "FCpy"
        }
    ],
    "license": "https:\/\/www.nist.gov\/open\/license",
    "bureauCode": [
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    "rights": "NIST Software license applies",
    "modified": "2022-08-19 00:00:00",
    "publisher": {
        "@type": "org:Organization",
        "name": "National Institute of Standards and Technology"
    },
    "accrualPeriodicity": "R\/P1Y",
    "theme": [
        "Materials:Materials characterization",
        "Mathematics and Statistics:Numerical methods and software",
        "Physics:Nuclear physics"
    ],
    "issued": "2022-12-01",
    "keyword": [
        "Python",
        "SIMS",
        "Statistics",
        "Mass Spectrometry",
        "Confidence Interval",
        "CI",
        "Feldman",
        "Cousins",
        "Poisson",
        "Gaussian"
    ]
}

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