Développement d'un algorithme de suivi de particules pour l'ILC : outils de surveillance de qualité de données en ligne

After the discovery of a Higgs boson compatible with the standard model one at the Large Hadron Collider (LHC), future project of particle colliders such as the ILC are suggested to succeed the LHC. The two detectors at the collision point, the International Large Detector (ILD) and the Silicon Detector (SiD), are generalist detectors, deigned to allow the application of particle flow algorithms, main topic of interest of this thesis.The semi-digital hadronic calorimeter (SDHCAL), mainly developped at the IPNL, is one the options for the hadronic calorimeterof the ILD detector. The researches presented in this thesis are focused on particle flow development based on the tree topology of hadronic showers. After a first implementation for the SDHCAL physics prototype, a second one is proposed to reconstruct the particles from collisions in the ILD detector. Using Monte-Carlo data samples, physics performances are extracted. In the first version case, results are compared to available test beam data recorded by the SDHCAL prototype at CERN.In parrallel of this work, a data quality monitoring framework, called DQM4HEP, has been developped. Analyzes specific to SDHCAL data taken during beam tests have been deployed in order to test the software