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| Paper: |
Data Mining IceCube |
| Volume: |
461, Astronomical Data Analysis Software and Systems XXI |
| Page: |
513 |
| Authors: |
Ruhe, T.; Morik, K.; IceCube collaboration |
| Abstract: |
IceCube
is a 1 km3 scale neutrino
telescope located at the
geographic South Pole. The large number of reconstructed attributes as well as
the small signal to background ratio in an atmospheric neutrino analysis makes
IceCube well suited for a detailed study within the scope of machine learning. A
systematic study intended to improve the event selection was carried out
including a detailed feature selection using MRMR as well as the training and
testing of a Random Forest. Finally, the forest was applied on IceCube data. A
good agreement between data and Monte Carlo expectations has been observed. |
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