A convolutional neural network based cascade reconstruction for the IceCube Neutrino Observatory
A convolutional neural network based cascade reconstruction for the IceCube Neutrino Observatory
Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further challenges arise as the detector is situated at the geographic South Pole where computational resources are limited. However, to perform real-time analyses and to issue alerts …