Validating Position Reconstruction Algorithm with $${}^{\mathbf{241}}$$Am–$${}^{\mathbf{9}}$$Be Neutron Source in DEAP-3600

The DEAP-3600 experiment uses a modern coordinate reconstruction algorithm that utilizes machine learning. This algorithm performed well compared to likelihood-based approaches. Here we validate our neural network based algorithm on data obtained using $${}^{241}$$ Am– $${}^{9}$$ Be radioactive source. The results obtained confirm algorithm validity.