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The $N_\ell$ of gravitational wave background experiments
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We construct a model for the angular power spectrum of the instrumental noise in interferometer networks mapping gravitational wave backgrounds (GWBs) as a function of detector noise properties, network configuration and scan strategy. We use the model to calculate the noise power spectrum for current and future ground-based experiments, as well as for planned space missions. We present our results in a language similar to that used in cosmic microwave background and intensity mapping experiments, and connect the formalism with the sensitivity curves that are common lore in GWB analyses. Our formalism is implemented in a lightweight python module that we make publicly available at https://github.com/damonge/schNell.
Forward citations
Cited by 2 Pith papers
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\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...
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