REVIEW 4 cited by
Interpreting Binary Neutron Star Mergers: Describing the Binary Neutron Star Dynamics, Modelling Gravitational Waveforms, and Analyzing Detections
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
read the original abstract
Gravitational waves emitted from the coalescence of neutron star binaries open a new window to probe matter and fundamental physics in unexplored, extreme regimes. To extract information about the supranuclear matter inside neutron stars and the properties of the compact binary systems, robust theoretical prescriptions are required. We give an overview about general features of the dynamics and the gravitational wave signal during the binary neutron star coalescence. We briefly describe existing analytical and numerical approaches to investigate the highly dynamical, strong-field region during the merger. We review existing waveform approximants and discuss properties and possible advantages and shortcomings of individual waveform models, and their application for real gravitational-wave data analysis.
Forward citations
Cited by 4 Pith papers
-
Remnant properties of binary neutron star mergers undergoing prompt collapse
Prompt-collapse neutron star merger remnants occupy a narrow, high-spin region of the mass-spin plane, and Cosmic Explorer could use tidal deformability to classify most such mergers as neutron star events out to 100-250 Mpc.
-
The error budget of binary neutron star merger simulations for configurations with high spin
For highly spinning (chi=0.5) binary neutron stars, evolution code choice is the largest numerical waveform error, and current analytical models disagree with numerical relativity beyond that error after the stars touch.
-
Null Stream Based Third-generation-ready Glitch Mitigation for Gravitational Wave Measurements
Using the null stream of a triangular Einstein Telescope, overlapping glitches can be reconstructed and subtracted without signal contamination, preserving parameter estimation accuracy where a two-L-shaped design sho...
-
Applications of machine learning in gravitational wave research with current interferometric detectors
A community review of machine learning in current gravitational-wave detectors, mapping where ML already works in production (noise subtraction, glitch classification, low-latency classification) and where traditional...
Discussion (0). Continue with ORCID to comment.