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:
N/A
Views:
Data Provided by:
Dataset Owner:
N/A
| 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"
]
}
