A systematic study of binary neutron star merger rate density history using simulated gravitational wave and short gamma-ray burst observations
Yun-Fei Du, Emre Seyit Yorgancioglu, Shu-Xu Yi, Tian-Yong Cao, Shuang-Nan Zhang

TL;DR
This study combines simulated gravitational wave and short gamma-ray burst data to map the binary neutron star merger rate density across cosmic history up to redshift 3, improving understanding of heavy element formation.
Contribution
It introduces a method to jointly analyze GW and sGRB observations to estimate BNS merger rate density at higher redshifts than current GW-only measurements.
Findings
BNS merger rate density can be measured with ~50% accuracy up to z=1.
The ratio of sGRB to BNS merger rate density can be constrained to 45% uncertainty.
A minimum of ~550 sGRBs is needed to estimate the delay time in star formation models.
Abstract
Measuring the merger rate density history of binary neutron stars (BNS) can greatly aid in understanding the history of heavy element formation in the Universe. Currently, second-generation Gravitational Wave (GW) detectors can only measure the BNS merger rate density history at low redshifts ( 0.1). Short gamma-ray bursts (sGRBs) may trace the BNS merger to higher redshifts ( 3). However, not all BNS mergers result in sGRBs, and it is not certain that all sGRBs originate from BNS mergers. In this study, we simultaneously utilize simulated BNS merger GW signals detected by the advanced LIGO design and sGRB signals detected by {\it Fermi}/GBM to constrain the BNS merger rate density history up to 3. The results indicate that with 8 GWs and 571 sGRBs, the BNS merger rate density can be measured with an accuracy of about 50\% through to .…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
