The primordial antimatter search in primary cosmic radiation is a very difficult task. The main reasons are: the low signal to background ratio expected and the limited geometrical factor available onboard of space facilities. Moreover the data transmission system to send the information from space to the ground control room is also a critical factor. As a consequence, an high performance onboard recognition system, based on a multi-level decision making strategy has to be taking into account. The study of a L2 trigger based on neural networks classifiers for a cosmic ray space experiment on a polar orbit satellite is addressed.
|Titolo:||Trigger in HEP cosmic ray space experiments based on neural systems|
|Data di pubblicazione:||1997|
|Nome del convegno:||International Conference on Applications and Science of Artificial Neural Networks III|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1117/12.271543|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|