GW:UK@Nottingham

Europe/London
University of Nottingham

University of Nottingham

Nottingham, UK
Giles Hammond (University of Glasgow), Gregory Ashton (University of Southampton), Hong Qi (Queen Mary University of London), Krishnendu Naderivarium (University of Birmingham), Laura Sberna (University of Nottingham), Miguel Bezares (University of Nottingham), Sama Al-Shammari (University of Cardiff), Stephen Green (University of Nottingham), Thomas Sotiriou (University of Nottingham)
Description

GW:UK@Nottingham is the first meeting of the GW:UK initiative (website). It will bring together researchers from across the UK involved in gravitational wave science to celebrate 10 years of gravitational wave discoveries (day 1) and to engage in community-building activities (day 2).

Due to the nature of this meeting, we will only offer in person participation. Some funding to cover accommodation and travel expenses for UK-based participants is available. There will be a number of slots available for contributed talks, including flash talks. We especially encourage early career researchers to apply for a slot.

To be considered for financial support and a contributed or flash
talk, please complete your registration by 16 December.

The meeting will be held in room B13 of the School of Physics and Astronomy at the University of Nottingham. 

 

 

Participants
  • Thursday 15 January
    • 09:30
      Registration C14

      C14

      University of Nottingham

      School of Physics and Astronomy
    • 10:00
      Welcome - Thomas Sotiriou (University of Nottingham)
    • 1
      10 years of GW - Stephen Fairhust (Cardiff University)
    • 11:00
      Coffe Break
    • 2
      GW astrophysics and multimessenger - Fabio Antonini (Cardiff University)
    • 3
      Tests of GR - Michalis Agathos (QMUL)
    • 12:15
      Lunch
    • 4
      Machine Learning for Parameter Estimation
      Speaker: Sama Al-Shammari (Cardiff University)
    • 5
      Residual neural likelihood estimation for gravitational wave parameter estimation
      Speaker: Mattia Emma (Royal Holloway University of London)
    • 6
      Testing general relativity with black hole ringdowns
      Speaker: Lorenzo Pompili (University of Nottingham)
    • 7
      Observability of eccentricity in a population of merging compact binaries
      Speaker: Mukesh Singh (Cardiff University)
    • 8
      Calibrated uncertainty quantification for improved GW signal detection efficiency
      Speaker: Ann-Kristin Malz (Royal Holloway University of London)
    • 9
      Gravitational Wave Probes of Dark Matter in Neutron Star Mergers
      Speaker: Dr Violetta Sagun (University of Southampton)
    • 10
      Tidal dissipation in binary neutron star mergers
      Speaker: Suprovo Ghosh (University of Southampton)
    • 11
      Leveraging indirect observations about merging neutron star binaries
      Speaker: Nikhil Sarin (Cambridge University)
    • 12
      Stochastic gravitational wave backgrounds from cosmic phase transitions
      Speaker: Dr Oliver Gould (University of Nottingham)
    • 13
      Polarisation Singularities of Gravitational Waves.
      Speaker: Claire Rigouzzo (King's College London)
    • 14
      Quasinormal modes from numerical relativity with Bayesian inference
      Speaker: Richard Dyer (Institute of Astronomy, Cambridge University)
    • 15
      Accelerating parameter estimation for parameterized tests of general relativity with gravitational-wave observations
      Speaker: Dhruv Kumar (University of Glasgow, Scotland)
    • 16
      Instrumentation - Ian Wilmut (RAL)
    • 15:00
      Coffe Break
    • 17
      Progress in GW cosmology - Tessa Baker (Portsmouth U.)
    • 18
      GW searches and parameter estimation - Michael Williams (Portsmouth U.)
    • 19
      Astrophysical implications of eccentricity in neutron star-black hole binaries
      Speaker: Isobel Romero-Shaw (Cardiff University)
    • 20
      Accelerating Reduced-Order Quadrature Construction using Multi-Band Waveforms
      Speaker: Murdoc Newell (Queen Mary University of London)
    • 21
      What can the future GW detectors tell us about the peak of star formation?
      Speaker: Divyajyoti . (Cardiff University)
    • 22
      Corrections to the energy and angular momentum for eccentric orbits
      Speaker: David Trestini (University of Southampton)
    • 23
      Rapid parameter estimation in minutes with physical insights from eccentric harmonics
      Speaker: Ben Patterson (Cardiff University)
    • 24
      Extremal Black Hole Spectroscopy
      Speaker: Hongyi Wan (Queen Mary University of London)
    • 25
      Analytic and numerical modeling of boson-star scattering
      Speaker: Ulrich Sperhake (University of Cambridge)
    • 26
      Constraining the luminosity distance-redshift relation with GWs
      Speaker: Elena Colangeli (ICG - University of Portsmouth)
    • 27
      Early Warning in Gravitational-Wave Astronomy with Deep Learning.
      Speaker: Reem Alfaidi (University of Glasgow)
    • 28
      The potential of hierarchical inference with extreme mass-ratio inspiral observations
      Speaker: Shahswat Singh (University of Glasgow)
    • 29
      Fast, Faithful, and Future-Proof: Gravitational-Wave Inference at GPU Speed
      Speaker: Metha Prathaban (University of Cambridge)
    • 30
      Gravity Spy: Building a Community of Citizen Scientists
      Speaker: Elizabeth Todd (University of Glasgow)
    • 31
      Detecting Exoplanets beyond Local Super cluster with GW
      Speaker: Liming Zheng (Beijing Normal University, Cardiff Universtiy)
    • 32
    • 33
      Amorphous Alumina: a low absorption material for future detectors
      Speaker: Scott Fitzgerald (University of Glasgow)
    • 34
      He-BAR: A Helium Bulk Acoustic Resonator for Gravitational Wave Detection
      Speaker: Sean Hibbitt (Royal Holloway University of London)
    • 35
      Multifidelity Approach to Simulation-Based Inference in Gravitational-Wave Data Analysis

      Simulation-based inference (SBI) is opening new possibilities in gravitational-wave data analysis, including the use of computationally expensive simulators to generate waveforms. When simulators are computationally expensive, generating sufficient training data becomes challenging. Multifidelity methods combine the accuracy of high-fidelity (expensive and accurate) models with the computational efficiency of low-fidelity (fast and less accurate) models. This transfer learning approach makes inference tractable even with limited simulation budgets, potentially enabling analyses that would otherwise require prohibitive computational resources.

      Speaker: Cecilia Fabbri (University of Nottingham)
  • Friday 16 January