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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.
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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 |
