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. However, this is becoming extremely costly as event rates grow with improved detector sensitivity. In this talk I will describe a powerful alternative using probabilistic deep learning to analyze each event in orders of magnitude less time while maintaining strict accuracy requirements. This uses simulated data to train a normalizing flow to model the posterior distribution over source parameters given the data—amortizing training costs over all future detections. I will also describe the use of importance sampling to establish complete confidence in these deep learning results. Finally I will describe prospects going forward for simulation-based inference to enable improved accuracy in the face of non-stationary or non-Gaussian noise.
Machine Learning for Gravitational Wave Astronomy
Next Journal Club
Discussion of the paper "Black holes in a swirling universe ", by Marco Astorino, et al.
Black Hole Workshops
XVI Black Holes Workshop, Porto,
19-20 December 2023
Previous workshops in the series:
I Black Holes Workshop, Porto, 2008
II Black Holes Workshop, Lisbon, 2009
III Black Holes Workshop, Minho, 2010
IV Black Holes Workshop, Aveiro, 2011
V Black Holes Workshop, Lisbon, 2012
VI Black Holes Workshop, Minho 2013
VII Black Holes Workshop, Aveiro 2014
VIII Black Holes Workshop, Lisbon 2015
IX Black Holes Workshop, Minho 2016
X Black Holes Workshop, Aveiro 2017
XI Black Holes Workshop, Lisbon, 2018
XII Black Holes Workshop, Minho, 2019
XIII Black Holes Workshop, Lisbon, 2020
XIV Black Holes Workshop, Aveiro, 2021
XV Black Holes Workshop, Lisbon, 2022
Our group coordinates the Marie Curie RISE FunFiCO network (Dec 2017- Dec 2023)
More info here
Our group coordinates the Marie Curie Staff Exchange NewFunFiCO network (Jan 2023- Dec 2026)
More info here
Our group was part of the Gravitational Wave Universe
April 2017 - April 2021
Our group was part of the RISE StronGrHEP network (2016-2019)
Paris, 12-13 May 2016
Azores, 3-8 July 2017
Osaka, 4-8 September 2017
NRHEP Network Meetings
Our group coordinated the "Numerical Relativity and High Energy Physics" IRSES network (2012-2015). Here is a list of the global network meetings organized:
9-13 July 2012, Aveiro, Portugal
11-14 March 2013, Lisbon, Portugal
6-10 January 2014, Mississippi, USA
7-10 July 2015, Rome, Italy
28 Sep-2 Oct 2015, Belém, Brazil
Quantum Gravity Phenomenology in the Multimessanger Approach
COST Action CA18108
Mar 2019 - Mar 2023
Ph.D. and Post-doctoral opportunities
Contact us If you are interested in pursuing graduate studies/research in our group.
Information for prospective Ph.D. students can be found here.
Past Ph.D. theses from our group can be found here.
Working as a researcher in Portugal - a quick guide.