Published December 2, 2020 | Version v1
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LEXACTUM Trained Model Weights

  • 1. University of Malta, Istituto Nazionale di Astrofisica
  • 2. University of Malta, University of Oxford
  • 3. University of Malta
  • 4. Istituto Nazionale di Astrofisica - Osservatorio Astrofisico di Catania

Description

These files are the weights from the models described in our paper, "Convolutional Neural Networks for the Automated Detection of Strong Gravitational Lensing", 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

Notes

D. Magro benefited from a grant: Osservatorio Astrofisico di Catania - Istituto Nazionale di Astrofisica, MoU: "High performance computing in astronomy, astrophysics and particle physics"

Files

Files (2.7 GB)

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