English

A systematic study of binary neutron star merger rate density history using simulated gravitational wave and short gamma-ray burst observations

High Energy Astrophysical Phenomena 2025-07-08 v1

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 (zz \sim 0.1). Short gamma-ray bursts (sGRBs) may trace the BNS merger to higher redshifts (zz \sim 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 zz \sim 3. The results indicate that with \sim 8 GWs and 571 sGRBs, the BNS merger rate density can be measured with an accuracy of about 50\% through z=0z=0 to z=1z=1. The ratio of the jet opening angle-corrected sGRB event rate density to the BNS merger rate density, denoted as η\eta, can be constrained to a relative uncertainty of 45\%. With \sim 21 GWs and 761 sGRBs, the BNS merger rate density can be measured to approximately 35\% and 40\% at z=0z=0 and z=1z=1, respectively. Meanwhile, η\eta can be constrained to a relative uncertainty of 28\%. Additionally, in our parameterized simulation, we find that at least approximately \sim550 sGRBs are needed to constrain the characteristic delay time in the star formation rate model, given a relative error of 50\% in the estimated redshift.

Keywords

Cite

@article{arxiv.2507.04019,
  title  = {A systematic study of binary neutron star merger rate density history using simulated gravitational wave and short gamma-ray burst observations},
  author = {Yun-Fei Du and Emre Seyit Yorgancioglu and Shu-Xu Yi and Tian-Yong Cao and Shuang-Nan Zhang},
  journal= {arXiv preprint arXiv:2507.04019},
  year   = {2025}
}

Comments

Accepted for publication in MNRAS, 9 pages, 5 figures