Sep 12 – 16, 2022
OAC conference center, Kolymbari, Crete, Greece.
Europe/Athens timezone

Detection of material contrast in muon tomography data with machine learning

Sep 14, 2022, 11:50 AM
20m
OAC conference center, Kolymbari, Crete, Greece.

OAC conference center, Kolymbari, Crete, Greece.

Speaker

Dr Konstantin Borozdin (Sandia Research Center)

Description

Muon tomography applications often require detection of material contrast. One example of such application is the detection of contraband at the border. Another example is the detection of steel rebars inside reinforced concrete blocks. Sensitivity of material discrimination depends on the detector configuration, exposure time and clutter. We explore how machine learning techniques can be used to improve the muon imaging in general, and material discrimination in particular. We apply a variety of machine learning methods, including different types of regressions and image classification. Potential of these methods and their relative efficiency is discussed.

Primary author

Dr Konstantin Borozdin (Sandia Research Center)

Presentation materials