🥼 PhD in Physics (2021 - 2026)
Validation of the Photon Detection System and a Machine Learning Reconstruction Algorithm in the DUNE Experiment
Supervisor: Carmen Palomares Espiga
Universidad Complutense de Madrid (UCM).
The DUNE experiment aims to address fundamental questions in particle physics, including neutrino mass ordering and CP violation, using advanced liquid argon detectors. This work focuses on two key aspects: the optimization of the photon detection system (PDS) and the development of efficient reconstruction algorithms. The performance of X-ARAPUCA photon detectors was characterized under cryogenic conditions, validating their design and achieving improved light collection efficiencies. In parallel, the SPINE algorithm, based on modern machine learning techniques, was evaluated for low-energy electron reconstruction, demonstrating competitive performance and robustness under realistic conditions. Together, these results confirm the technological readiness of both hardware and software components for future DUNE detectors.
🔠MsC in Particle Physics and Physics of the Cosmos (2020 - 2021)
Obtaining temperature maps of the CMB anisotropies, correlated and uncorrelated with polarization
Supervisors: Patricio Vielva y Elena de la Hoz López Collado Instituto de FÃsica de Cantabria (CSIC-UC).The main idea of the protect is to analyse whether the correlated temperature CMB maps with polarization (or vice-versa) allow us to draw more significant conclusions on the CMB detected anomalies rather than the original temperature and polarization CMB maps. For this purpose we study the optimal techniques to obtain these CMB correlated maps.