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SolDet: Solitonic feature detection package

SolDet is an object-oriented package for solitonic feature detection in absorption images of Bose-Einstein condensate. with wider use for cold atom image analysis. Featured with classifier, object detector, and Mexican hat metric methods. Technical details are explained in https://arxiv.org/abs/2111.04881.

About this Dataset

Updated: 2022-07-29
Metadata Last Updated: 2022-05-10
Date Created: N/A
Views:
Data Provided by:
National Institute of Standards and Technology
Dataset Owner: N/A

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Table representation of structured data
Title SolDet: Solitonic feature detection package
Description SolDet is an object-oriented package for solitonic feature detection in absorption images of Bose-Einstein condensate. with wider use for cold atom image analysis. Featured with classifier, object detector, and Mexican hat metric methods. Technical details are explained in https://arxiv.org/abs/2111.04881.
Modified N/A
Publisher Name National Institute of Standards and Technology
Contact mailto:justyna.zwolak@nist.gov
Keywords soliton , machine learning , python package
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    "accessLevel": "public",
    "contactPoint": {
        "hasEmail": "mailto:justyna.zwolak@nist.gov",
        "fn": "Justyna Zwolak"
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    "programCode": [
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    "@type": "dcat:Dataset",
    "landingPage": "https:\/\/github.com\/usnistgov\/SolDet",
    "description": "SolDet is an object-oriented package for solitonic feature detection in absorption images of Bose-Einstein condensate. with wider use for cold atom image analysis. Featured with classifier, object detector, and Mexican hat metric methods. Technical details are explained in https:\/\/arxiv.org\/abs\/2111.04881.",
    "language": [
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    ],
    "title": "SolDet: Solitonic feature detection package",
    "license": "https:\/\/www.nist.gov\/open\/license",
    "bureauCode": [
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    "modified": "2022-05-10 00:00:00",
    "publisher": {
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        "name": "National Institute of Standards and Technology"
    },
    "accrualPeriodicity": "irregular",
    "theme": [
        "Physics:Optical physics",
        "Physics:Atomic, molecular, and quantum"
    ],
    "keyword": [
        "soliton",
        "machine learning",
        "python package"
    ]
}

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