Conveners
Applications in Muon Tomography: Part 1
- Pablo Martinez Ruiz Del Arbol (Universidad de Cantabria and CSIC (ES))
Applications in Muon Tomography: Part 2
- Pablo Martinez Ruiz Del Arbol (Universidad de Cantabria and CSIC (ES))
This work presents several uses of machine learning techniques, ranging from regressional neural networks, convolutional neural networks and generative adversarial neural networks, applied to scattering muography in the context of industrial problems and applications. A review of the different techniques will be given together with some propects on future developments being carried out. A...
The development and application of Muon Tomography techniques requires the production of considerable amounts of simulation data, usually generated with complex and slow particle simulation software. In this talk, we explore the use of Generative Adversarial Network (GAN) as a way of generating simulation data for muon tomography applications in a faster and less computationally expensive way.
A deep neural network for the Muography Observatory System was developed to distinguish high energy muons (> 3 GeV) from low energy ones. A Geant4 based Monte-Carlo simulation was written to provide teaching sample to the neural network. The simulation was validated by measurements taken at the Sakurajima volcano. In order to understand how the neural network works, a game theoretic approach...
