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