共 3 条
Imprints of the redshift evolution of double neutron star merger rate on the signal-to-noise ratio distribution
被引:2
|作者:
Kastha, Shilpa
[1
,2
]
Saleem, M.
[3
]
Arun, K. G.
[3
,4
]
机构:
[1] Inst Math Sci, IV Cross St,CIT Campus, Chennai 600113, Tamil Nadu, India
[2] Homi Bhabha Natl Inst, Training Sch Complex, Mumbai 400094, Maharashtra, India
[3] Chennai Math Inst, H1,SIPCOT IT Pk, Siruseti 603103, Tamil Nadu, India
[4] Penn State Univ, Inst Gravitat & Cosmos, University Pk, PA 16802 USA
关键词:
Gravitational waves;
star formation;
GAMMA-RAY BURSTS;
GRAVITATIONAL-WAVES;
GW170817/GRB;
170817A;
EMISSION;
BINARIES;
COSMOLOGY;
DISCOVERY;
KILONOVA;
SEARCH;
D O I:
10.1093/mnras/staa1077
中图分类号:
P1 [天文学];
学科分类号:
0704 ;
摘要:
Proposed third-generation gravitational wave interferometers such as Cosmic Explorer (CE) will have the sensitivity to observe double neutron star mergers (DNS) up to a redshift of similar to 5 with good signal-to-noise ratios (SNRs). We argue that the comoving spatial distribution of DNS mergers leaves a unique imprint on the statistical distribution of SNRs of the detected DNS mergers. Hence, the SNR distribution of DNS mergers will facilitate a novel probe of their redshift evolution independent of the luminosity distance measurements. We consider detections of DNS mergers by the CE and study the SNR distribution for different possible redshift evolution models of DNSs and employ Anderson Darling p value statistic to demonstrate the distinguishability between these different models. We find that a few hundreds of DNS mergers in the CE era will allow us to distinguish between different models of redshift evolution. We further apply the method for various SNR distributions arising due to different merger delay-time and star formation rate (SFR) models and show that for a given SFR model, the SNR distributions are sensitive to the delay-time distributions. Finally, we investigate the effects of sub-threshold events in distinguishing between different merger rate distribution models.
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页码:523 / 531
页数:9
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