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GCN Circular 24621

LIGO/Virgo S190521g: Identification of a GW compact binary merger candidate
2019-05-21T04:19:51Z (5 years ago)
Geoffrey Mo at LIGO <>
The LIGO Scientific Collaboration and the Virgo Collaboration report:

We identified the compact binary merger candidate S190521g during
real-time processing of data from LIGO Hanford Observatory (H1), LIGO
Livingston Observatory (L1), and Virgo Observatory (V1) at 2019-05-21
03:02:29.447 UTC (GPS time: 1242442967.447). The candidate was found
by the PyCBC Live [1], CWB [2], GstLAL [3], and SPIIR [4] analysis

S190521g is an event of interest because its false alarm rate, as
estimated by the online analysis, is 3.8e-09 Hz, or about one in 8
years. The event's properties can be found at this URL:

The classification of the GW signal, in order of descending
probability, is BBH (97%), Terrestrial (3%), BNS (<1%), NSBH (<1%),
or MassGap (<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 [5], distributed via GCN notice about 6 minutes after
   the candidate

For the bayestar.fits.gz sky map, the 90% credible region is 1163 deg2.
Marginalized over the whole sky, the a posteriori luminosity distance
estimate is 663 +/- 156 Mpc (a posteriori mean +/- standard

We have reason to believe that the distance may be underestimated
because different search pipelines have reported a range of distances.
The two-dimensional sky map (right ascension and declination)
is in good agreement across pipelines. Offline analyses to resolve
this issue are ongoing.

For further information about analysis methodology and the contents of
this alert, refer to the LIGO/Virgo Public Alerts User Guide

 [1] Nitz et al. PRD 98, 024050 (2018)
 [2] Klimenko et al. PRD 93, 042004 (2016)
 [3] Messick et al. PRD 95, 042001 (2017)
 [4] Qi Chu, PhD Thesis, The University of Western Australia (2017)
 [5] Singer & Price PRD 93, 024013 (2016)
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