The construction and use of LISA sensitivity curves

By T. Robson, N. Cornish, Chang Liu. Classical and quantum gravity, 2018

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The Laser Interferometer Space Antenna (LISA) will open the mHz band of the gravitational wave spectrum for exploration. Sensitivity curves are a useful tool for surveying the types of sources that can be detected by the LISA mission. Here we describe how the sensitivity curve is constructed, and how it can be used to compute the signal-to-noise ratio for a wide range of binary systems. We adopt the 2018 LISA mission performance requirement design parameters. We consider both sky-averaged sensitivities, and the sensitivity to sources at particular sky locations. The calculations are included in a publicly available Python notebook.

Subfields: Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/ac36cd8f710ce287da07328272dcabb92a27e6e7

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Citations in the corpus

• Reconstructing the spectral shape of a stochastic gravitational wave background with LISA (2019, methodology): “ctor of p 2 with respect to the single channel case. 2.1 Model of the LISA sensitivity curve We adopt here the single TDI output noise model of ESA’s science requirement document [135] (see also ref. [137] for a derivation). This is based on the results of the LISA Pathnder mission, which demonstrat”
• COSMIC Variance in Binary Population Synthesis (2019, methodology): “…∫ fend fstart [ hc, n(fn) hf (fn) ]2 d ln fn, (19) where hc, n is given by Equation 9, and hf is the characteristic LISA noise curve, which we take from (Robson et al. 2019). fstart = nforb is the GW frequency emitted at the nth harmonic at the start of the LISA observation and fend is either the…”
• Improved reconstruction of a stochastic gravitational wave background with LISA (2020, background): “[48, 56] contains a typo (a sign flip) in one of the two terms appearing in the exponent.”