Data provided by National Institute of Standards and Technology
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: 2024-02-22
Metadata Last Updated:
2022-05-10 00:00:00
Date Created:
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Data Provided by:
Dataset Owner:
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| 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 |
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"fn": "Justyna Zwolak"
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"title": "SolDet: Solitonic feature detection package",
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