2020
DOI: 10.1093/mnras/staa789
|View full text |Cite|
|
Sign up to set email alerts
|

Constraining properties of neutron star merger outflows with radio observations

Abstract: The jet opening angle and inclination of GW170817 -the first detected binary neutron star merger -were vital to understand its energetics, relation to short gamma-ray bursts, and refinement of the standard siren-based determination of the Hubble constant, H 0 . These basic quantities were determined through a combination of the radio lightcurve and Very Long Baseline Interferometry (VLBI) measurements of proper motion. In this paper we discuss and quantify the prospects for the use of radio VLBI observations a… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
12
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
2

Relationship

2
5

Authors

Journals

citations
Cited by 15 publications
(12 citation statements)
references
References 113 publications
(133 reference statements)
0
12
0
Order By: Relevance
“…Additionally, the relativistic nature of the jetted outflow can be revealed by VLBI observations (Mooley et al 2018a;Ghirlanda et al 2019) that evidence an apparent superluminal motion of the jet head. Detecting this centroid displacement is possible for events that are particularly close or bright or under specific inclination angle conditions (Duque et al 2019;Dobie et al 2020). Doing so further constrains ι and narrows down the measurement of H 0 , as shown in the case of GW170817.…”
Section: Inferring H 0 With Gravitational Waves and Electromagnetic Counterpartsmentioning
confidence: 99%
See 1 more Smart Citation
“…Additionally, the relativistic nature of the jetted outflow can be revealed by VLBI observations (Mooley et al 2018a;Ghirlanda et al 2019) that evidence an apparent superluminal motion of the jet head. Detecting this centroid displacement is possible for events that are particularly close or bright or under specific inclination angle conditions (Duque et al 2019;Dobie et al 2020). Doing so further constrains ι and narrows down the measurement of H 0 , as shown in the case of GW170817.…”
Section: Inferring H 0 With Gravitational Waves and Electromagnetic Counterpartsmentioning
confidence: 99%
“…However, currently, these signals crucially lack modeling and observing history. Inclination angle measurements from kilonova data are very model dependent and lack robustness (Doctor 2020;Heinzel et al 2021). Only when the kilonova sample grows will the potential impact of kilonova-derived angle constraints be appreciated.…”
Section: Inferring H 0 With Gravitational Waves and Electromagnetic Counterpartsmentioning
confidence: 99%
“…To assess the detectability of radio afterglows we use the same power-law jet model as Dobie et al (2020). The kinetic energy is distributed according to…”
Section: Emission From a Power-law Jetmentioning
confidence: 99%
“…We also assume the fraction of shock energy distributed to the electrons and magnetic field of the jet to be 𝜖 𝑒 = 0.1 and 𝜖 𝐵 = 0.01 respectively, based on the canonical GRB microphysics parameters (e.g. Berger 2014, and references therein), which we note are higher than those typically found for GW170817 (see Table 1 of Dobie et al 2020). Our results rely on these parameter assumptions, which are biased towards GW170817-like events and therefore may not represent the general population of compact binary coalescences.…”
Section: Emission From a Power-law Jetmentioning
confidence: 99%
“…Chen et al 2019). Several works have shown how independent EM observations can constrain the binary viewing angle (Guidorzi et al 2017;Hotokezaka et al 2019;Dobie et al 2020;Dhawan et al 2020), thus providing an external constraint that breaks the inclination angle-distance degeneracy, one of the main sources of uncertainty for the distance precision. When estimated independently of the distance, viewing angle constraints can be as good as ∼ 5 deg for GW170817 when using X-ray and radio data, and ∼ 10 deg from optical-NIR data (Dhawan et al 2020), leading to a factor 2 or better improvement on the distance precision.…”
Section: Experiments Specificsmentioning
confidence: 99%