GCN Circular 25164
Subject
LIGO/Virgo S190727h: Identification of a GW compact binary merger candidate
Date
2019-07-27T07:31:42Z (5 years ago)
From
Shaon Ghosh at UWM <shaon.ghosh@ligo.org>
The LIGO Scientific Collaboration and the Virgo Collaboration report:
We identified the compact binary merger candidate S190727h during
real-time processing of data from LIGO Hanford Observatory (H1), LIGO
Livingston Observatory (L1), and Virgo Observatory (V1) at 2019-07-27
06:03:33.986 UTC (GPS time: 1248242631.986). The candidate was found
by the GstLAL [1], CWB [2], PyCBC Live [3], MBTAOnline [4], and SPIIR
[5] analysis pipelines.
S190727h is an event of interest because its false alarm rate, as
estimated by the online analysis, is 1.4e-10 Hz, or about one in 1e2
years. The event's properties can be found at this URL:
https://gracedb.ligo.org/superevents/S190727h
The classification of the GW signal, in order of descending
probability, is BBH (92%), Terrestrial (5%), MassGap (3%), NSBH (<1%),
or BNS (<1%).
Assuming the candidate is astrophysical in origin, there is strong
evidence against the lighter compact object having a mass < 3 solar
masses (HasNS: <1%). Using the masses and spins inferred from the
signal, there is strong evidence against matter outside the final
compact object (HasRemnant: <1%).
One sky map is available at this time and can be retrieved from the
GraceDB event page:
* bayestar.fits.gz, an updated localization generated by BAYESTAR
[6], distributed via GCN notice about 8 minutes after the candidate
For the bayestar.fits.gz sky map, the 90% credible region is 841
deg2. Marginalized over the whole sky, the a posteriori luminosity
distance estimate is 2022 +/- 516 Mpc (a posteriori mean +/- standard
deviation).
Note that the preliminary GCN notice incorrectly reported
the classification as 99% Terrestrial, and the incorrect skymap was
associated with the event. These have now been corrected.
For further information about analysis methodology and the contents of
this alert, refer to the LIGO/Virgo Public Alerts User Guide
<https://emfollow.docs.ligo.org/userguide/>.
[1] Messick et al. PRD 95, 042001 (2017)
[2] Klimenko et al. PRD 93, 042004 (2016)
[3] Nitz et al. PRD 98, 024050 (2018)
[4] Adams et al. CQG 33, 175012 (2016)
[5] Qi Chu, PhD Thesis, The University of Western Australia (2017)
[6] Singer & Price PRD 93, 024013 (2016)