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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.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[
"006:55"
]
|
| contactPoint |
{
"fn": "Justyna Zwolak",
"hasEmail": "mailto:justyna.zwolak@nist.gov"
}
|
| 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. |
| identifier | ark:/88434/mds2-2641 |
| keyword |
[
"machine learning",
"python package",
"soliton"
]
|
| landingPage | https://github.com/usnistgov/SolDet |
| language |
[
"en"
]
|
| license | https://www.nist.gov/open/license |
| modified | 2022-05-10 00:00:00 |
| programCode |
[
"006:045"
]
|
| publisher |
{
"name": "National Institute of Standards and Technology",
"@type": "org:Organization"
}
|
| theme |
[
"Physics:Atomic, molecular, and quantum",
"Physics:Optical physics"
]
|
| title | SolDet: Solitonic feature detection package |
