P. C. Magalhães

Currently I am Maria Zambrano fellow at Universidades Complutense de Madrid. My background is in the phenomenology of Particle Physics. I did my master and Ph.D. studies at University of São Paulo, Brazil, as scholarship holder of the Brazilian Agency - State of São Paulo Research Foundation (FAPESP). I have also spent a year of my Ph.D at the University of Manchester, UK, as part of the international program of academic exchange run by Coordination for the Improvement of Higher Education Personnel (CAPES). I was 2 years PosDoc at CBPF (Brazilian Center for Physics Researches) in Rio de Janeiro with funding from CNPq (Conselho Nacional de Pesquisas) and 1 year PosDoc at TUM (Technical University of Munich) with a fellowship to promote women in Science. From 2019 til 2021 I was a Marie Curie fellow at University of Bristol working in collaboration with an experimental group connected to the LHCb (Large Hadron Collider beauty) collaboration at CERN. We are responsible, among other things, for the amplitude analysis for decays of B and D mesons in three light mesons. From March 2021 until April 2022 I was CAPES-Print young talent fellowship at Instituto de Tecnologia Aeronautica (ITA) in São José dos Campos, Brazil. In March 2019, I became LHCb collaboration member, which allows me to access the data and participate in all the events and meetings of the collaboration (from 2016-2018 I was LHCb theoretical associated) . Working together with experimental researchers has been a very productive experience for the group, since the models that I develop can be quickly tested. The hadronic decays of heavy mesons are one of the main tools for the study of CP violation, processes in which effects of new physics can be manifested indirectly. However, in order to extract the maximum information from amplitude analyses it is necessary to deeply understand the effects of strong interaction. In this context, the objective of my research is to continue the theoretical/experimental collaboration, whose objective is to produce more elaborated models for the analysis of the experimental data.