Gravitational footprints of massive neutrinos and lepton number breaking
Discussion on the paper "Gravitational footprints of massive neutrinos and lepton number breaking"
Discussion on the paper "Gravitational footprints of massive neutrinos and lepton number breaking"
CIDMA, the research unit Gr@v integrates, has annouced two one year postdoctoral positions starting in September 2020. Candidates should hold a Ph.D. in Mathematics or related areas (the scientific areas of Gr@v are elegible). The application period is May 14th-31st. More details can be found here and here.
Gr@v members António Morais and Felipe Freitas and their students João Pino and Pedro Rodrigues (from left to right on the picture) have participated in the 2020 edition of the CERN masterclass held at the University of Minho and organized by LIP - Laboratório de Instrumentação e Física Experimental de Partículas. The event took place on the 28th of February and on the 6th of March.
Here, the numerical data described in the paper "Black holes with synchronised Proca hair: linear clouds and fundamental non-linear solutions", arXiv:2004.09536 [gr-qc] [1], is made available for public use.
This data pertains the fundamental states (n=0) of these hairy black holes and spinning Proca stars. Some data for the excited states (n=1) was previously made available here.
Discussion on the paper "Counterterm method and thermodynamics of Hairy Black Holes in a Vector-Tensor theory with Abelian gauge symmetry breaking ", ArXiv:2004.08329
Fabrizio di Giovanni gave us a nice update on the dynamical properties of bosonic stars, from numerical relativity simulations.
Kunihito Uzawa (Kwansei Gakuin U., Japan) gave us a nice update on the swampland conjecture and its implications in cosmology.
Gr@v member C. Herdeiro gave an invited colloquium at the Centre for Mathematical Sciences, U. Cambridge, of the GR and HEP groups on March 4th and an invited seminar at STAG, School of Mathematical Sciences, U. Southampton in March 5th.
Discussion of ongoing work.
Felipe Freitas, from Gr@v, gave us a nice introduction to Deep learning and its applications in Collider Phenomenology.