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python

Documentation: https://gammalearn.pages.in2p3.fr/stereograph/stereograph

Manipulating & Visualizing multispectral data

This project allows to create forcing data for land surface and hydrological models within the framework of the LIAISE project. In particular it addresses the issues related to high altitude weather conditions.

My copier based python project based skeleton

Jupyter notebooks for the "Grands Instruments" M2 lectures on DAQ systems: front-end electronics, signal processing, data acquisition systems, network, slow control, etc.

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)

pyYC \pwik\ - A sample project

Faster files reader

The goal of this project is to create a 2048 gamelike shell based