Primary Data Processing Algorithms for Neutron Monitors

Abstract

The primary data processing of the neutron monitors is a necessary procedure in order to provide the worldwide network of neutron monitors with high quality data. The procedure should be performed in a real time code which means that it should be fast and make use only of the past measurements of a neutron monitor. In general, the data correction algorithms are based on the comparison among the different channels of the detectors. Such methods, which are used currently by the Athens neutron monitor station as well as by many other stations are the Median Editor and the Super Editor. In this work, two new algorithms that are currently being developed in the Athens Station are presented. The first one is based on an Artificial Neural Network model, while the second one is based on a pure statistical model.