2-6 August 2021
Niels Bohr Institute
Europe/Copenhagen timezone

Niels Bohr Institute

School Topics

  • Gravitational Wave Production and Detection
  • Gravitational Wave Data Analysis
  • Astrophysical Formation Channels of Gravitational Wave Sources:
    • Stellar-mass Compact Object Binaries
    • Supermassive Black Hole Binaries
  • Multi-messenger Observations
  • Cutting Edge Research Topics

Guest Lecturers

  • Stephen Taylor (Vanderbilt University)
  • Alberto Sesana (University of Milano)
  • Jonah Kanner (LIGO Caltech)
  • Smadar Naoz (UCLA)
  • Zsuzsa Marka (Columbia University)
  • Jeff Andrews (Northwestern University)

Local Lecturers

  • Daniel D’Orazio (Niels Bohr International Academy)
  • Johan Samsing (Niels Bohr International Academy)
  • Irene Tamborra (Niels Bohr International Academy, DARK)
  • Alejandro Vigna-Gomez (DARK)

School Goals

  • Introduce the students to the fundamental theoretical concepts and current observational constraints in the field of Gravitational Wave Astrophysics.
  • Bring together students interested in these subjects with some of the world's experts in an environment fostering interactions and exchange of ideas, allowing the students to develop their international network.
  • Encourage the students to continue working in these fields, emphasizing the importance of a multidisciplinary approach to research in these active areas.

Venue and Organizational Aspects

The school will take place in The Niels Bohr Institute on Blegdamsvej 17. The lectures will take place in the historic Auditorium A. NBIA will provide infrastructure in the form of discussion rooms to facilitate impromptu collaborations and discussions in smaller groups. A social dinner for all participants will be organized during the course of the school. A virtual or hybrid version of the school may be implemented due to COVID-19 precautions but is uncertain at present.


  • Daniel J. D'Orazio (NBIA)
  • Johan Samsing (NBIA)
  • Martin Pessah (NBIA)


  • Jane Elvekjaer <jane.elvekjaer@nbi.ku.dk>
  • Martin Pessah <mpessah@nbi.ku.dk>

This program is supported by