TY  - GEN 
AU  - González, B. S.
AU  - Guillén Perales, Alberto
PY  - 2021
UR  - http://hdl.handle.net/10481/72654
AB  - This paper presents several approaches to deal with the problem of identifying muons in a water Cherenkov detector with a reduced water volume and 4 PMTs. Different perspectives of information representation are used, and new features are engineered...
LA  - eng
PB  - Springer
KW  - Machine learning
KW  - Neural networks
KW  - Feature engineering
KW  - Gamma rays
KW  - Cosmic rays
KW  - Information representation
KW  - Signal processing
TI  - Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning
ER  -