activity
20162021
most citedHandling missing data in a neural network approach for the identification of charged particles in a multilayer detector

4 citations · 6 across the 4 of their papers we have counts for

collaborators

10 papers

physics.ins-det2021

First demonstration of in-beam performance of bent Monolithic Active Pixel Sensors

ALICE ITS project, :, G. Aglieri Rinella +250

A novel approach for designing the next generation of vertex detectors foresees to employ wafer-scale sensors that can be bent to truly cylindrical geometries after thinning them t…

physics.ins-det2021

The cosmic muon and detector simulation framework of the Extreme Energy Events (EEE) experiment

M. Abbrescia, C. Avanzini, L. Baldini +60

This paper describes the simulation framework of the Extreme Energy Events (EEE) experiment. EEE is a network of cosmic muon trackers, each made of three Multi-gap Resistive Plate…

physics.ins-det2020

Characteristics and performance of the Multigap Resistive Plate Chambers of the EEE experiment

F. Coccetti, M. Abbrescia, C. Avanzini +61

The Extreme Energy Events (EEE) experiment, dedicated to the study of secondary cosmic rays, is arguably the largest detector system in the world implemented by Multigap Resistive…

physics.ins-det2020

Strategies to reduce the environmental impact in the MRPC array of the EEE experiment

M. P. Panetta, M. Abbrescia, C. Avanzini +61

The Extreme Energy Events (EEE) Project employs Multi-gap Resistive Plate Chamber (MRPC) for studying the secondary cosmic ray muons in Extensive Air Showers. The array consists of…

physics.ins-det20201 cited

MRPC Telescope Simulation for the Extreme Energy Events Experiment

G. Mandaglio, M. Abbrescia, C. Avanzini +61

A simulation tool based on GEMC framework to describe the MRPC telescope of the Extreme Energy Events (EEE) Project is presented. The EEE experiment is mainly devoted to the study…

stat.ME20204 cited

Handling missing data in a neural network approach for the identification of charged particles in a multilayer detector

S. Riggi, D. Riggi, F. Riggi

Identification of charged particles in a multilayer detector by the energy loss technique may also be achieved by the use of a neural network. The performance of the network become…