Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: How will our knowledge of short gamma-ray bursts affect the distance
  measurement of binary neutron stars?   GWs from BNS associated with SGRBs have drawn considerable attention due to
their prospect in cosmology. For such events, the sky locations of sources can
be pinpointed with techniques such as identifying the host galaxies. However,
the cosmological applications of these events still suffer from the problem of
degeneracy between luminosity distance and inclination angle. To address this
issue, a technique was proposed in previous study, i.e., using the property of
SGRBs. Based on the observations, we assume that the cosine of inclination
follows a Gaussian distribution, which may act as a prior in the Bayes analysis
to break the degeneracy. This paper investigates the effects of different
Gaussian priors and detector configurations on distance measurement and
cosmological research. We first derive a simplified Fisher information matrix
for demonstration, and then conduct quantitative analyses via simulation. By
varying the number of third-generation detectors and the scale of prior, we
generate four catalogs of 1000 events. It is shown that, in the same detecting
period, a network of detectors can recognize more and farther events than a
single detector. Besides, adopting tighter prior and employing multiple
detectors both decrease the error of luminosity distance. Also considered is
the performance of a widely adopted formula in the error budget, which turns
out to be a conservative choice in each case. As for cosmological applications,
for LCDM model, 500, 200, 600, and 300 events are required for the four
configurations to achieve 1% H_0 accuracy. With all 1000 events in each
catalog, H_0 and Omega_m can be constrained to 0.66%, 0.37%, 0.76%, 0.49%, and
0.010, 0.006, 0.013, 0.010, respectively. The results of the Gaussian process
also show that the GW standard siren can serve as a probe of high-redshift
universe.

12
The categories of this paper are: nucl-th
1
The categories of this paper are: cs
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
14
The categories of this paper are: math-ph