M1: Artificial intelligence in instrumentation work
The DAQ (Data Acquisition) pole at LAPP develops instrumentation, testing systems, and automation tools for detector electronics used in particle
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Internship
M1/M2 : Global parametric fits of solar neutrino oscillation data
Neutrinos are the lightest massive fundamental particles in the universe. The discovery of neutrino flavour oscillations (where neutrinos will change
Read moreM1: Higgs boson decays to tau leptons at high momenta and effective-field theory interpretations with the ATLAS experiment at the LHC
Subject : ATLAS is one of the two general-purpose experiments at the LHC. It is currently collecting LHC data at
Read moreM1: Optimization of Event Selection for the Fully Leptonic WZ Vector Boson Scattering Analysisin ATLAS Using Artificial Intelligence Techniques
Scientific Context : The Standard Model (SM) of particle physics provides a remarkably precise description of fundamental interactions among elementary
Read moreM1: Search for third generation gravitational waves detector possible implementation sites
The Virgo gravitational wave detector, installed in Pisa, operates on the principle of a laser interferometer with 3 km long
Read moreM1: Improving photon energy calibration in the LHCb electromagnetic calorimeter
The LHCb experiment is one of the four main experiments at the Large Hadron Collider at CERN, specialised in the
Read moreM2: High-sensitivity interferometry for the development of crystalline coatings dedicated to gravitational wavedetectors.
The first detections of gravitational waves from the coalescence of black holes, announced by the LIGO-Virgo collaboration in 2016, opened
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