9 citations · 9 across the 6 of their papers we have counts for
7 papers
A Hydrogenated Amorphous Silicon Photodiode indirect flexible device for radiation flux measurements at low intensities
Mauro Menichelli, Aishah Bashiri, Marco Bizzarri +46
The objective of the Photo-HASPIDE experiment is the construction and test of an indirect a-Si:H (Hydrogenated Amorphous Silicon) photo-detector plus scintillator device on a flexi…
HASPIDE-SPACE: a new concept of a radiation-resistant instrument for solar energetic particles
C. Grimani, M. Fabi, M. Menichelli +55
Galactic cosmic rays and solar energetic particles (SEPs) affect the performance of instruments carried on board space missions and are the source of the absorbed dose to astronaut…
Proton irradiation on Hydrogenated Amorphous Silicon flexible devices
M. Menichelli, S. Aziz, A. Bashiri +58
Radiation damage tests in hydrogenated amorphous silicon (a-Si:H) flexible flux and dose-measuring devices have been performed with a 3 MeV proton beam, to evaluate combined displa…
Characterization of hydrogenated amorphous silicon sensors on polyimide flexible substrate
M. Menichelli, L. Antognini, S. Aziz +50
Hydrogenated amorphous silicon (a-Si:H) is a material having an intrinsically high radiation hardness that can be deposited on flexible substrates like Polyimide. For these propert…
Solar Wind Speed Estimate with Machine Learning Ensemble Models for LISA
Federico Sabbatini, Catia Grimani
In this work we study the potentialities of machine learning models in reconstructing the solar wind speed observations gathered in the first Lagrangian point by the ACE satellite…
A Hydrogenated amorphous silicon detector for Space Weather Applications
Catia Grimani, Michele Fabi, Federico Sabbatini +35
The characteristics of a hydrogenated amorphous silicon (a-Si:H) detector are presented here for monitoring in space solar flares and the evolution of large energetic proton events…
Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder
Federico Sabbatini, Catia Grimani
Machine learning models are nowadays ubiquitous in space missions, performing a wide variety of tasks ranging from the prediction of multivariate time series through the detection…