LEXACTUM trained model weights

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MAGRO, DANIEL;ZARB ADAMI, KRISTIAN;De Marco, Andrea;Riggi, Simone;Sciacca, Eva

Description

These files are the weights from the models described in our paper, "Convolutional Neural Networks for the Automated Detection of Strong Gravitational Lensing" (https://academic.oup.com/mnras/article/505/4/6155/6295319), trained for a varying number of epochs.The dataset on which these models have been trained is available on the Gravitational Lens Finding Challenge 1.0 web page:
http://metcalf1.difa.unibo.it/blf-portal/gg_challenge.html
The code written to train and load these models is available on the GitHub repository:
https://github.com/DanielMagro97/LEXACTUM
These models were also previously uploaded to, and are accessible on, Zenodo:
https://zenodo.org/records/4299924

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

88%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

University of Malta

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Astronomy and Astrophysics

Field

Physics and Astronomy

Domain

Physical Sciences

Confidence Score

37%

Source

Scholar Data Model

Keywords

Astronomical sciencesCosmology and extragalactic astronomyGeneral relativity and gravitational wavesAstronomical instrumentationArtificial intelligence

Normalization Factors

FT

42.31

CTw

1.00

MTw

1.00