Banca de QUALIFICAÇÃO: NATÁLIA CRISTINA TRINDADE DO NASCIMENTO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : NATÁLIA CRISTINA TRINDADE DO NASCIMENTO
DATE: 26/04/2022
TIME: 15:00
LOCAL: REMOTO
TITLE:

Vector Ressonances Contribution to the Dark Matter Search on LHC

KEY WORDS:

Beyond Standard Model; Dark Matter; Machine Learning

PAGES: 25
BIG AREA: Ciências Exatas e da Terra
AREA: Física
SUBÁREA: Física das Partículas Elementares e Campos
SUMMARY:

The Standard Model (SM) of Particle Physics has been able to explain most of the experimental results.  But, although its success, there are many phenomena that have not yet been clarified by this model. One of the main enigmas of our time, the dark matter existence is not explained by the SM.  This research project aims the search for dark matter candidate particles in the proton-proton collisions at the LHC.  We use a SM extension model that introduces the production of a candidate to dark matter particle through Quantum Cromodinamics processes as well through new vector ressonances decays.  Using  deep neural networks, we can demonstrate that the network can be trained to distinguish the dark matter caracteristics events from the SM background events.

BANKING MEMBERS:
Externo à Instituição - ANDRE ASEVEDO NEPOMUCENO - UFF
Interno - 1217987 - ANDRE LUIZ MOTA
Presidente - 364974 - MARIA ALINE BARROS DO VALE