Discovery of Strongly-lensed Gravitational Waves – Implications for the LSST Observing Strategy [HEAP]

http://arxiv.org/abs/1902.05140


LSST’s wide-field of view and sensitivity will revolutionize studies of the transient sky by finding extraordinary numbers of new transients every night. The recent discovery of a kilonova counterpart to LIGO/Virgo’s first detection of gravitational waves (GWs) from a double neutron star (NS-NS) merger also creates an exciting opportunity for LSST to offer a Target of Opportunity (ToO) mode of observing. We have been exploring the possibility of detecting strongly lensed GWs, that would enable new tests of GR, extend multi-messenger astronomy out to $z\gtrsim1$, and deliver a new class of sub-millisecond precision time-delay constraints on lens mass distributions. We forecast that the rate of detection of lensed NS-NS mergers in the 2020s will be $\sim0.1$ per Earth year, that the typical source will be at $z\simeq2$, and that the multiply-imaged kilonova counterpart will have a magnitude of ${\rm AB}\simeq25.4$ in $g/r/i$-band filters – i.e. fainter than the sensitivity of a single LSST WFD visit. We therefore advocate (1) creating a flexible and efficient Target of Opportunity programme within the LSST observing strategy that is capable of discovering sources fainter than single-visit depth, and (2) surveying the entire observable extragalactic sky as rapidly as possible in the WFD survey. The latter will enable a very broad range of early science that relies on wide survey area for detection of large samples of objects and/or maximizing the fraction of sky over which reference imaging is available. For example, it will enable prompt discovery of a uniform and all-sky sample of galaxy/group/cluster-scale lenses that will underpin LSST strong-lensing science. This white paper complements submissions from DESC, SLSC, and TVSSC, that discuss kilonova, GW, and strong lensing.

Read this paper on arXiv…

G. Smith, A. Robertson, M. Bianconi, et. al.
Fri, 15 Feb 19
1/48

Comments: A white paper on the LSST Cadence; submitted in November 2018; 10 pages