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Improvements of data analysis and self-consistent monitoring methods for the MEV telescope
Author(s)
Language
English
Obiettivo Specifico
2V. Struttura e sistema di alimentazione dei vulcani
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Issue/vol(year)
/958(2020)
ISSN
0168-9002
Publisher
Elsevier
Pages (printed)
162052
Issued date
April 2020
Alternative Location
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.
Type
article
File(s)
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Name
2020_Gallo_et_al_NIMPR.pdf
Description
Restricted Paper
Size
1.56 MB
Format
Adobe PDF
Checksum (MD5)
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