A new, unified Python package computes overlap reduction functions, power-law integrated sensitivity curves, and angular sensitivity curves for ground, space, and pulsar timing array detectors across all gravitational wave polarizations.
Analytical results for the power-law sensitivity curve of stochastic gravitational-wave backgrounds
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
We derive analytically some general features of the power-law sensitivity curve. They include an exact parametric equation, a formula for the peak sensitivity and a proof of convexity in log-log plot. A few conceptual points are also clarified.
citation-role summary
background 1
citation-polarity summary
fields
astro-ph.IM 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
\texttt{GWBird}: a toolkit for the characterization of the Stochastic Gravitational Wave Background for Ground, Space, and Pulsar Timing Array detectors
A new, unified Python package computes overlap reduction functions, power-law integrated sensitivity curves, and angular sensitivity curves for ground, space, and pulsar timing array detectors across all gravitational wave polarizations.