Explore projects
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GammaLearn: Deep Learning for Imaging Cherenkov Telescopes Data Analysis
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This project contains some tools that we use to analyse datas and for our daily workflow.
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This project is a companion to the paper "Unveiling the outer core composition with neutrino oscillation tomography" to be published in Frontiers. It allows the reproduction of the main findings of the paper.
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Design and development of detection chains and readout electronics for cosmology and astrophysics. In particular, readouts related to time-division multiplexing for to transition edge sensors (TES) of projects like ATHENA X-IFU, CMB-S4 and LEM.
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HiPeRTA is a C++ library implementing the real-time analysis low-level reconstruction algorithms of the Cherenkov Telescope Array (CTA). The real-time analysis is used by the Science Alert Generation (SAG) subsystem of the Array Control And Data Acquisition (ACADA) of CTAO for data quality and science monitoring and science alert generation.
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Analysis of nearby BD with Fermi-LAT data and constraints on DM particle candidates
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Code for estimating the confusion noise signal from GWs emitted from the compact Galactic Binaries, as measured by LISA.
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Classification Hands-on Deep Learning for Medical Imaging School 2021
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