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Kilonova rates from spherical and axisymmetrical models
被引:5
|作者:
Kobori, Jozsef
[1
]
Bagoly, Zsolt
[1
]
Balazs, Lajos G.
[2
,3
]
机构:
[1] Eotvos Lorand Univ, Dept Phys Complex Syst, Pazmany PS 1-A, H-1117 Budapest, Hungary
[2] MTA CSFK Konkoly Observ, Konkoly Thege M Ut 13-17, H-1121 Budapest, Hungary
[3] Eotvos Lorand Univ, Dept Astron, Pazmany PS 1-A, H-1117 Budapest, Hungary
关键词:
methods: numerical;
methods: statistical;
neutron star mergers;
GAMMA-RAY BURSTS;
GRAVITATIONAL-WAVE;
MERGER RATE;
LUMINOSITY FUNCTION;
NEUTRON-STARS;
EVOLUTION;
GW170817;
BINARIES;
D O I:
10.1093/mnras/staa1034
中图分类号:
P1 [天文学];
学科分类号:
0704 ;
摘要:
Detecting the thermal emission from double neutron star merger events is a challenging task because of the quick fading of the observed flux. In order to create an efficient observing strategy for their observing method, it is crucial to know their intrinsic rate. Unfortunately, the numerous models existing today predict this rate on a very wide range. Hence, our goal in this paper is to investigate the effect of different levels of approximations on the relative rate predictions. Also, we study the effect of distinct ejecta mass layouts on the light curve. We find that the ratio of the expected kilonova detections of the spherical to axisymmetrical models is 6:1 (or 2:1, depending on the input parameter set applied in our work). Nevertheless, the light-curve shape is only slightly affected by the various ejecta alignments. This means that different ejecta layouts can produce light curves with similar shapes making it a challenging task to infer the structure of the matter outflow. Thus, we conclude that the uncertainty in the rate predictions arising from the various ejecta mass distribution models is negligible compared to the errors present in other input parameters (e.g. binary neutron star merger rate). In addition, we show that up to moderate redshifts (z less than or similar to 0.2) the redshift distribution type (observed or uniform in volume) does not affect the expected relative rate estimations.
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页码:4343 / 4348
页数:6
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