3D Reconstruction and VR visualization of nuclear scattering events
Reference persons FABRIZIO LAMBERTI
Research Groups GR-09 - GRAphics and INtelligent Systems - GRAINS
Thesis type THESIS W/ RES. CEN.
Description Reconstruction of the complete kinematics of a collision between particles at accelerators is a fundamental step in the investigation of subtle processes hidden in the 10-15 m and 10-23 s space-time windows where the interaction takes place.
At the Joint Institute for Nuclear Research (JINR) (Dubna-Russia) a set of several thousand pion - Helium nucleus scattering events has been observed with a detector, namely a self-shunted streamer chamber (SSSC) filled with Helium, capable of revealing the complete interaction kinematics, down to the momenta of very low-energy charged secondary interaction products such as protons with an energy of merely 1 MeV. A charged particle leaves along its trajectory electron-ion pairs, that give rise to electric discharges in their initial stage (streamers), produced when a high-voltage pulse is applied to the SSSC electrodes, if a signal from scintillation counters reveals a nuclear event to have occurred inside the chamber volume. The visible light, emitted in excitation and ionization processes taking place within the streamers in the Helium gas filling the volume of the detector, indicates the particle tracks and is captured by two CCDs and saved in two photograms. The kinematics (the momenta of particles that take part in the collision) is reconstructed from the analysis of the tracks left by charged particles.
This thesis will focus on the 3D Reconstruction and VR visualization of nuclear scattering events produced and photographed in the PAINUC experiment at the JINR phasotron (particle accelerator) of the Laboratory of nuclear problems (LNP). In particular, the work will be focused on the implementation of automatic 3D reconstruction of each pion - Helium nucleus scattering event, on the basis of the two photograms taken by the CCDs. The work will involve the use of sw tools for the stereoscopic view reconstruction as well as for background reduction and filtering. The effectiveness of the various tools, from standard image filtering approaches to the use of AI-based systems, will be studied.
In addition, visualization of the reconstructed events in a VR environment is to be implemented in order to provide a new tool for the analysis of phenomena involved as well as a powerful environment focused on STEM didactics and the Communication of Science.
The thesis will be developed in collaboration with CERN, JINR and DISAT.
See also http://grains.polito.it/work.php
Deadline 12/08/2022 PROPONI LA TUA CANDIDATURA