16–19 Sept 2024
Rome, Italy
Europe/Rome timezone

Bayesian inference on dark matter admixed neutron star mergers with gravitational-wave data

19 Sept 2024, 14:55
25m
Aula Cabibbo (CU033 FISICA E. FERMI - ground floor) (Rome, Italy)

Aula Cabibbo (CU033 FISICA E. FERMI - ground floor)

Rome, Italy

Sapienza University - Piazzale Aldo Moro 5
Contributed Talk Gravitational waves Dark Matter

Speaker

Nina Kunert (Institute for Physics and Astronomy, University of Potsdam, D-14476 Potsdam, Germany)

Description

Dark matter makes up a large portion of matter in the Universe and, thus, could be present inside compact objects such as neutron stars. Until today, little is known about its composition, fraction and particle mass. However, multi-messenger data, such as gravitational-wave as well as electromagnetic radiation, can in principle be used to study dark matter admixed neutron stars, which would pave a new way to constrain the properties of dark matter. In this study, we present a new feature of the nuclear physics multi-messenger framework "NMMA" to sample over the dark matter mass and fraction in addition to the usual sampling on the neutron star equation of state. We present our analysis of GW170817 under the assumption that dark matter is present as non-interacting Fermi gas as well as first results for synthetic data assuming the Einstein telescope as gravitational-wave detector.

Primary author

Nina Kunert (Institute for Physics and Astronomy, University of Potsdam, D-14476 Potsdam, Germany)

Co-authors

Edoardo Giangrandi (University of Coimbra, University of Potsdam) Hauke Koehn (University Potsdam) Peter T. H. Pang (Nikhef, Science Park 105, 1098 XG Amsterdam, The Netherlands) Tim Dietrich (University of Potsdam and Max Planck Institute for Gravitational Physics Potsdam) Violetta Sagun (University of Coimbra)

Presentation materials