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Abstract The detection of GW170817, the first neutron star-neutron star merger observed by Advanced LIGO and Virgo, and its following analyses represent the first contributions of gravitational wave data to understanding dense matter. Parameterizing the high density section of the equation of state of both neutron stars through spectral decomposition, and imposing a lower limit on the maximum mass value, led to an estimate of the stars’ radii ofkm andkm (Abbottet al2018Phys. Rev. Lett.121161101). These values do not, however, take into account any uncertainty owed to the choice of the crust low-density equation of state, which was fixed to reproduce the SLy equation of state model (Douchin and Haensel 2001Astron. Astrophys.380151). We here re-analyze GW170817 data and establish that different crust models do not strongly impact the mass or tidal deformability of a neutron star—it is impossible to distinguish between low-density models with gravitational wave analysis. However, the crust does have an effect on inferred radius. We predict the systematic error due to this effect using neutron star structure equations, and compare the prediction to results from full parameter estimation runs. For GW170817, this systematic error affects the radius estimate by 0.3 km, approximatelyof the neutron stars’ radii.
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The Emergence of Inter-organisational Networks in Emerging Technologies: The Case of Microneedles
We examine to what extent two variables – institutional groups and emerging terms – contribute to explain the network dynamics of research on microneedles by estimating an Exponential Random Graph Model (ERGM.
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- Award ID(s):
- 1759960
- PAR ID:
- 10400229
- Date Published:
- Journal Name:
- Global Tech Mining Conference
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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