Explore projects

Detection of cyclone using IASI data and Yolo model.

Cours d'électronique donné à la préparation à l'agrégation de physique

zeroNP is a prototyping platform to help the community defining the specification of the future openNP service

Framework to derive constraints on the (velocity-independent) dark matter pair-annihilation cross-section utilising Fermi-LAT gamma-ray data of Milky Way dwarf spheroidal galaxies based on machine learning-optimized background assessment

OpenStack Manila Puppet Module

Deep Learning for tumor segmentation: evaluation of the impact of preprocessing on the reproducibility of model inference.

pyYC \pwik\ - A sample project

It's a simulation made up of three different modules which is based on the VD design of the DUNE project.

The first module calculates the drift field inside an anode using perforated PCB technology, and calculates the weighting field on each charge readout view. It generates 2 * (1 + 3) .npy files containing the scalar potential field and each component of the corresponding vector field. The second module uses the Shockley-Ramo theorem to calculate the signal induced on each view. The module needs the previously calculated files to work. The output is a .csv file containing the simulated charge for each electron generated, the drift time and the view on which the charge was collected. We also have a file containing the signals generated for the three charge reading views. The final module simulates electron drift towards the anode plane on a larger volume of liquid argon. Given a channel number, the aim is to visualize waveforms as a function of reconstructed trace angles in the detector.

Translated with DeepL.com (free version)