[vsnet-grb-info 22913] LIGO/Virgo S190707q: Identification of a GW compact binary merger candidate

GCN Circulars gcncirc at capella2.gsfc.nasa.gov
Sun Jul 7 19:43:44 JST 2019


TITLE:   GCN CIRCULAR
NUMBER:  25012
SUBJECT: LIGO/Virgo S190707q: Identification of a GW compact binary merger candidate
DATE:    19/07/07 10:41:43 GMT
FROM:    Sarah Antier at APC  <antier at apc.in2p3.fr>

The LIGO Scientific Collaboration and the Virgo Collaboration report:

We identified the compact binary merger candidate S190707q during
real-time processing of data from LIGO Hanford Observatory (H1) and
LIGO Livingston Observatory (L1) at 2019-07-07 09:33:26.181 UTC (GPS
time: 1246527224.181). The candidate was found by the MBTAOnline [1],
CWB [2], GstLAL [3], PyCBC Live [4], and SPIIR [5] analysis pipelines.

S190707q is an event of interest because its false alarm rate, as
estimated by the online analysis, is 5.3e-12 Hz, or about one in 1e4
years. The event's properties can be found at this URL:

https://gracedb.ligo.org/superevents/S190707q

The classification of the GW signal, in order of descending
probability, is BBH (>99%), Terrestrial (<1%), 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
[6], distributed via GCN notice about 39 minutes after the candidate

For the bayestar.fits.gz sky map, the 90% credible region is 1375
deg2. Marginalized over the whole sky, the a posteriori luminosity
distance estimate is 810 +/- 234 Mpc (a posteriori mean +/- standard
deviation).

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] Adams et al. CQG 33, 175012 (2016)
  [2] Klimenko et al. PRD 93, 042004 (2016)
  [3] Messick et al. PRD 95, 042001 (2017)
  [4] Nitz et al. PRD 98, 024050 (2018)
  [5] Qi Chu, PhD Thesis, The University of Western Australia (2017)
  [6] Singer & Price PRD 93, 024013 (2016)



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