CAST Strong Lensing Finder Deep Learning models

Name: CAST Strong Lensing Finder Deep Learning models
Creator: Universidade Federal do Rio Grande do Sul, Departamento de Física, CEP 91501-970, Porto Alegre, RS, Brazil; Centro Brasileiro de Pesquisas Físicas, Rua Dr. Xavier Sigaud 150, CEP 22290-180, Rio de Janeiro, RJ, Brazil; Electrical and Computer Engineering Department, McCormick School, Northwestern University,
Published: 2022-03-10T00:00:00+08:00

Zenodo2022-03-10 更新2026-04-07 收录

强透镜探测

天文图像分析

数据链接：

https://zenodo.org/record/6344063 数据链接链接失效反馈

官方服务：

资源简介：

Deep Learning models used in the paper "Developing a Victorious Strategy to the Second Strong Gravitational Lensing Data Challenge". We share the Deep Learning models weights trained using II Strong Lensing Gravitational Challenge dataset in the configurations presented in table 1 from the aforementioned paper. We also release notebooks with examples of usage and adaptation to other datasets in github.com/cdebom/cast_lensfinder. The file names are structure as follows: efn2_typeofentry_preprocessing_aug.tar.gz where typeofentry is the input format according to table 1 in the paper and preprocessing can be chpre or newpre is the preprocessing used in the II SLGC, and the novel proposed preprocessing for the paper, respectively.

提供机构：

Universidade Federal do Rio Grande do Sul, Departamento de Física, CEP 91501-970, Porto Alegre, RS, Brazil; Centro Brasileiro de Pesquisas Físicas, Rua Dr. Xavier Sigaud 150, CEP 22290-180, Rio de Janeiro, RJ, Brazil; Electrical and Computer Engineering Department, McCormick School, Northwestern University,

创建时间：

2022-03-10