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
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 | 2022-05-10 00:00:00 |
Publisher Name | National Institute of Standards and Technology |
Contact | mailto:[email protected] |
Keywords | soliton , machine learning , python package |
{ "identifier": "ark:\/88434\/mds2-2641", "accessLevel": "public", "contactPoint": { "hasEmail": "mailto:[email protected]", "fn": "Justyna Zwolak" }, "programCode": [ "006:045" ], "landingPage": "https:\/\/github.com\/usnistgov\/SolDet", "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.", "language": [ "en" ], "distribution": "", "bureauCode": [ "006:55" ], "modified": "2022-05-10 00:00:00", "publisher": { "@type": "org:Organization", "name": "National Institute of Standards and Technology" }, "theme": [ "Physics:Optical physics", "Physics:Atomic, molecular, and quantum" ], "keyword": [ "soliton", "machine learning", "python package" ] }