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This project contains some tools that we use to analyse datas and for our daily workflow.
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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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This repository contains all data and scripts for the article "Massive sampling strategy for antibody-antigen targets in CAPRI Round 55 with MassiveFold".
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Jupyter Notebooks in support of the MEC558 course on hydrology and water resources.
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GammaLearn: Deep Learning for Imaging Cherenkov Telescopes Data Analysis
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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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