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3rd Workshop on Compact Objects, Gravitational Waves and Deep Learning

Europe/Lisbon
University of Minho (CP2, Room B2)

University of Minho (CP2, Room B2)

Antonio Onofre (LIP), Carlos Herdeiro, Jose Antonio Font (Universitat Valencia)
Description

Machine Learning & Deep Learning Kick-Off Meeting

The Workshop on Compact Objects, Gravitational Waves and Deep Learning, intends to bring together experimental and theoretical Astrophysicists, Relativists and Cosmologists in a close collaboration with High Energy Particle Physicists to explore the Universe from its most fundamental particle constituents, to the events that happen at a Cosmological scale. The workshop is particularly focused in Machine Learning & Deep Learning algorithms for Astrophysics, Cosmology and Particle Physics, providing young Master and PhD researchers state of the art knowledge on these fields. Students will have the change of being exposed to challenges in these areas of scientific research and will have the opportunity to present their own work.

Registration
Registration Form
Participants
37
    • 08:45 09:00
      Opening and Wellcome 15m
      Speaker: Antonio Onofre (Universidade do Minho/CFUMUP,LIP)
    • 09:00 09:30
      Black Holes and Exotic Compact objects: challenges ahead 30m
      Speaker: Carlos Herdeiro (Math.Department, University of Aveiro)
    • 09:30 10:00
      Gravitational Waves from Compact Objects 30m
      Speaker: Prof. Font Jose Antonio (Departamento de Astronomía y Astrofísica, Universitat de València, Spain)
    • 10:00 10:20
      Detection of Gravitational Waves with Machine Learning/Deep Learning Algorithms 20m
      Speaker: Osvaldo Freitas (University of Minho)
    • 10:20 10:40
      Studying Core Collapse Supernova Gravitational Waves with Machine Learning 20m
      Speaker: Solange Nunes
    • 10:40 11:15
      Coffee Break
    • 11:15 11:45
      Models and Algorithms for GW Denoising and Reconstruction 30m
      Speaker: Alejandro Torres Forne Not Supplied
    • 11:45 12:05
      Deep Learning for the Classification of Signals and Transient Noises in the LIGO Detectors 20m
      Speaker: Tiago Fernandes (University of Aveiro)
    • 12:05 12:25
      Self-supervised Machine Learning for Noise Classification in GW 20m
      Speaker: Samuel Vieira (University of Aveiro)
    • 12:25 14:00
      Lunch
    • 14:00 14:30
      Gravitational Waves and New Physics Searches 30m
      Speaker: Antonio Morais (Universidade de Aveiro)
    • 14:30 14:50
      Machine Learning Algorythms and Particle Physics Searches 20m
      Speaker: Joao Goncalves (University of Aveiro)
    • 14:50 15:10
      Phenomenology of Multiscalar Models - why not Machine Learning? 20m
      Speaker: Vasileios Vatellis (University of Aveiro)
    • 15:10 15:30
      Discussion 20m
      Speakers: Antonio Onofre (Universidade do Minho/CFUMUP,LIP), Carlos Herdeiro (Math.Department, University of Aveiro), Font Jose Antonio (Departamento de Astronomía y Astrofísica, Universitat de València, Spain)
    • 15:30 16:00
      Coffee Break
    • 16:00 16:20
      Use of deep learning generative models for Monte Carlo event simulation in the context of LHC experiments 20m
      Speaker: Raúl Balanzá García (University of Valencia)
    • 16:20 16:40
      Identification of binary neutron star mergers in gravitational-wave data using object-detection machine learning models 20m
      Speaker: Joao Aveiro (University of Porto)
    • 16:40 17:00
      Classification of Neutron Stars’ Equation of State, from Gravitational Waves, using machine learning algorithms. 20m
      Speaker: Goncalo Goncalves (University of Porto)
    • 17:00 17:15
      Closing Remarks 15m
      Speakers: Antonio Onofre (Universidade do Minho/CFUMUP,LIP), Carlos Herdeiro (Math.Department, University of Aveiro), Font Jose Antonio (Departamento de Astronomía y Astrofísica, Universitat de València, Spain)