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Authors: Gallo, G.* 
Lo Presti, D.* 
Bonanno, Danilo Luigi* 
Bonanno, G.* 
Bongiovanni, Daniele Giuseppe* 
Carbone, Daniele* 
Ferlito, Carmelo* 
Immè, Giuseppina* 
La Rocca, P.* 
Longhitano, Fabio* 
Messina, Alfio Alex* 
Reito, S.* 
Riggi, Francesco* 
Russo, G* 
Zuccarello, Luciano* 
Title: Improvements of data analysis and self-consistent monitoring methods for the MEV telescope
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 
Series/Report no.: /958(2020)
Publisher: Elsevier
Issue Date: Apr-2020
DOI: 10.1016/j.nima.2019.04.006
Abstract: The MEV project is running for a long-term muography measurement at the North-East crater of the Etna Volcano, after the successful conclusion of the test phase in July 2017. Two sets of data were already acquired during 2017, during the last months of the summer, and 2018. Data analysis is currently ongoing in order to extract a two-dimensional density map of the target from the measured muon flux. But before, a major improvement on data pre-processing was required. It regards in particular the algorithm for event reconstruction and filtering and the introduction of a method to extract the telescope efficiency from data themselves. The main steps of this pre-analysis and their application to the test data set is described in this paper.
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