Publications by authors named "Reed Essick"
Article Synopsis
- Current multimessenger searches for binary neutron star (BNS) and neutron star-black hole (NSBH) mergers are advancing with the gravitational wave observatories ALIGO, AdVirgo, and KAGRA during their fourth observing run (O4).
- To enhance the search, the study utilized simulated binary populations and conducted a mock data challenge (MDC), optimizing the software used for real-time data analysis and alert generation.
- The paper reports on the low-latency infrastructure performance, with a median alert time of approximately 29.5 seconds for full searches, and emphasizes the importance of early warnings for neutron star mergers with a new trigger system, aiming for responses about 3.1 seconds before mergers occur.
Article Synopsis
- The symmetry energy and its density dependence are essential for understanding nuclear structure and astrophysical phenomena, affecting characteristics like neutron-skin thickness and neutron star properties.
- Recent measurements from PREX-II suggested a neutron-skin thickness for ^{208}Pb that indicates a higher slope parameter (L) than previously reported, raising questions about existing theoretical models.
- Utilizing data from neutron stars and combining it with PREX-II and other constraints, researchers derived new values for key parameters, concluding a smaller neutron skin thickness and a reduced slope parameter (L), with specific numerical ranges provided for symmetry energy and thickness.
We provide a comprehensive multi-aspect study of the performance of a pipeline used by the LIGO-Virgo Collaboration for estimating parameters of gravitational-wave bursts. We add simulated signals with four different morphologies (sine-Gaussians (SGs), Gaussians, white-noise bursts, and binary black hole signals) to simulated noise samples representing noise of the two Advanced LIGO detectors during their first observing run. We recover them with the BayesWave (BW) pipeline to study its accuracy in sky localization, waveform reconstruction, and estimation of model-independent waveform parameters.
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