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Dataset . 2026
License: CC BY
Data sources: Datacite
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HLVK O5 Observing Scenario Simulations Using the GWTC-4 Population Model: Detection Rates, Skymaps, and Multimessenger Parameters — February 2026 Data Release

Authors: R. Weizmann, Kiendrebeogo; Amanda Mirna, Farah; Michael, Coughlin;

HLVK O5 Observing Scenario Simulations Using the GWTC-4 Population Model: Detection Rates, Skymaps, and Multimessenger Parameters — February 2026 Data Release

Abstract

We performed simulations of the HLVK detector network configuration for the upcoming O5 observing run, estimating the expected gravitational-wave (GW) detection rates using a signal-to-noise ratio (S/N) threshold of 8. The simulated compact-binary population is drawn from the GWTC-4 Broken Power Law + Two Gaussian Peaks (BP2P) population model, ensuring consistency with the latest observational constraints on compact-object mass, spin, and merger-rate distributions. The statistics folder contains summary statistics for both the O4 and projected O5 observing scenarios, enabling direct comparisons of detection rates, source classifications, and population properties between current and anticipated detector sensitivities. Events are classified according to component masses using a standard threshold: neutron stars (NS) are defined as having masses < 3 M⊙, while black holes (BH) are defined as having masses ≥ 3 M⊙. These simulations build on previous observing-scenario studies, including the O4HL, O4HLV, and O5a/O5b/O5c sensitivity projections.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average