REVIEW 3 cited by
Uncertainty limits on neutron star radius measurements with gravitational waves
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
abstract
Upcoming observing campaigns with improved detectors will yield numerous detections of gravitational waves from neutron star binary inspirals. Rare loud signals together with numerous signals of moderate strength promise stringent constraints on the properties of neutron star matter, with a projected radius statistical uncertainty of $50-200$m with ${\cal{O}}(2000)$ sources. Given this precision we revisit all analysis assumptions and identify sources of systematic errors, quantify their impact on radius extraction, and discuss their relative importance and ways to mitigate them.
Forward citations
Cited by 3 Pith papers
-
X-ray pulsed light curves of highly compact neutron stars as probes of scalar-tensor theories of gravity
For neutron stars near the critical compactness, scalar-tensor gravity can change computed X-ray pulse fluxes by up to 80% and inferred radii by about 10%.
-
Quantifying the Information Gain from Future High-Precision Radius Measurements for Identifying Twin Neutron Stars
The paper claims a radius precision of ~0.2 km is enough to extract most Bayesian information for identifying twin neutron stars, but its own distinguishability and entropy analyses suggest notable gains remain down t...
-
Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks
Feedforward and residual neural networks predict neutron star observables from piecewise polytropic EOS parameters with R^2>0.999 and a ~200x speedup over direct TOV integration.
Discussion (0). Continue with ORCID to comment.