The last four sessions of the Gr@v group seminars are now on YouTube in our dedicated channel https://www.youtube.com/@Gravchannel. These include the talks from Raimon Luna (University of Valencia), Stephen Green (Univeristy of Nottingham), Beatrice Bonga (Radboud University) and Visakan Balakumar (Sheffield University).
On February 23, Gr@v member Lorenzo Annulli gave an invited seminar at the University of Cagliari and INFN - Cagliari Unit, in the beautiful seaside city of Cagliari, Sardinia. The seminar, entitled "The close limit approximation of compact objects: black holes, horizonless bodies and future applications" , focused on black holes, gravitational waves and their physics.
Lorenzo has been hosted by Prof. Mariano Cadoni, Andrea Sanna, Mauro Oi and the HEP Colloquia Organizing Committee; many thanks to all of them!
The gravity group in Aveiro is organizing a retreat-type group meeting, with a few guests, designed for a period of concentrated discussion and strategic thinking. The meeting, called "State of the art techniques in Strong gravity", is scheduled for 26-28 April 2023, in Hotel Vouga, São Pedro do Sul, Portugal.
This meeting will be held fully on-site, with no online component.
Gr@v member C. Herdeiro inaugurated the ARCO Distinguish Guest Lecture series at the Open University, Israel, on Feb 6th 2023, with a seminar on the "Fate of the Light Ring instability".
The European Einstein Toolkit Meeting 2023 will be held at the University of Aveiro, hosted by our group, from 19–23 June 2023. More info on the event website.
The gr@v paper "Asymptotically flat black holes with scalar hair: a review" reached the landmark of 500 citations in the INSPIRE database. The paper was a 2015 IJMPD highlight also figures in the 10 IJMPD most cited papers in the last 3 years.
Since 2015, the LIGO-Virgo-KAGRA Collaboration has detected 90 signals from merging compact objects such as black holes and neutron stars. Each of these is analyzed using Bayesian inference, employing a stochastic algorithm such as Markov Chain Monte Carlo to compare data against models—thereby characterizing the source.
Our group coordinated the "Numerical Relativity and High Energy Physics" IRSES network (2012-2015). Here is a list of the global network meetings organized:
