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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
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Participants
37
    • 1
      Opening and Wellcome
      Speaker: Antonio Onofre (Universidade do Minho/CFUMUP,LIP)
    • 2
      Black Holes and Exotic Compact objects: challenges ahead
      Speaker: Carlos Herdeiro (Math.Department, University of Aveiro)
    • 3
      Gravitational Waves from Compact Objects
      Speaker: Prof. Font Jose Antonio (Departamento de Astronomía y Astrofísica, Universitat de València, Spain)
      talk-2022-Minho.pdf
    • 4
      Detection of Gravitational Waves with Machine Learning/Deep Learning Algorithms
      Speaker: Osvaldo Freitas (University of Minho)
      3rd_workshop_final.pdf
    • 5
      Studying Core Collapse Supernova Gravitational Waves with Machine Learning
      Speaker: Solange Nunes
      CCSN - 3rd Workshop GW.pdf
    • Coffee Break
    • 6
      Models and Algorithms for GW Denoising and Reconstruction
      Speaker: Alejandro Torres Forne Not Supplied
    • 7
      Deep Learning for the Classification of Signals and Transient Noises in the LIGO Detectors
      Speaker: Tiago Fernandes (University of Aveiro)
      Workshop Braga_Tiago.pdf
    • 8
      Self-supervised Machine Learning for Noise Classification in GW
      Speaker: Samuel Vieira (University of Aveiro)
      apresentação.pdf
      apresentação.pptx
    • Lunch
    • 9
      Gravitational Waves and New Physics Searches
      Speaker: Antonio Morais (Universidade de Aveiro)
      GW-3rdCOGWDL.pdf
    • 10
      Machine Learning Algorythms and Particle Physics Searches
      Speaker: Joao Goncalves (University of Aveiro)
      DL_Minho_Pino.pdf
    • 11
      Phenomenology of Multiscalar Models - why not Machine Learning?
      Speaker: Vasileios Vatellis (University of Aveiro)
      Vasileios_Vatellis.pdf
    • 12
      Discussion
      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)
    • Coffee Break
    • 13
      Use of deep learning generative models for Monte Carlo event simulation in the context of LHC experiments
      Speaker: Raúl Balanzá García (University of Valencia)
      Deep_learning_generative_models.pdf
    • 14
      Identification of binary neutron star mergers in gravitational-wave data using object-detection machine learning models
      Speaker: Joao Aveiro (University of Porto)
      yolo_presentation_workshop_230922-3.pdf
    • 15
      Classification of Neutron Stars’ Equation of State, from Gravitational Waves, using machine learning algorithms.
      Speaker: Goncalo Goncalves (University of Porto)
      Appresentacao_C_EOS.pdf
    • 16
      Closing Remarks
      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)
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