Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 511, Issue 3, Pages 4350-4359Publisher
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stac347
Keywords
gravitational waves; methods: data analysis; stars: neutron; neutron star mergers
Categories
Funding
- National Science Foundation (NSF)
- LIGO Laboratory
- NSF [PHY-0757058, PHY-2045740, PHY-0823459]
- NSF Graduate Research Fellowship [DGE-1122374]
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The mass distribution of binary neutron stars derived from gravitational-wave observations can provide important insights, but ignoring the spin distribution may introduce biases in the inferred mass distribution. Introducing a prior that matches the true spin distribution can reduce these biases.
The binary neutron star (BNS) mass distribution measured with gravitational-wave observations has the potential to reveal information about the dense matter equation of state, supernova physics, the expansion rate of the Universe, and tests of general relativity. As most current gravitational-wave analyses measuring the BNS mass distribution do not simultaneously fit the spin distribution, the implied population-level spin distribution is the same as the spin prior applied when analysing individual sources. In this work, we demonstrate that introducing a mismatch between the implied and true BNS spin distributions can lead to biases in the inferred mass distribution. This is due to the strong correlations between the measurements of the mass ratio and spin components aligned with the orbital angular momentum for individual sources. We find that applying a low-spin prior that excludes the true spin magnitudes of some sources in the population leads to significantly overestimating the maximum neutron star mass and underestimating the minimum neutron star mass at the population level with as few as six BNS detections. The safest choice of spin prior that does not lead to biases in the inferred mass distribution is one that allows for high spin magnitudes and tilts misaligned with the orbital angular momentum.
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