Skip to main content
New Swift-BAT/GUANO and IceCube Notice Types Available! See news and announcements

GCN Circular 24998

Subject
LIGO/Virgo S190706ai: Identification of a GW compact binary merger candidate
Date
2019-07-06T23:06:25Z (5 years ago)
From
Siddharth Mohite at U of Wisconsin-Milwaukee <srmohite@uwm.edu>
The LIGO Scientific Collaboration and the Virgo Collaboration report:


We identified the compact binary merger candidate S190706ai during
real-time processing of data from LIGO Hanford Observatory (H1), LIGO
Livingston Observatory (L1), and Virgo Observatory (V1) at 2019-07-06
22:26:41.345 UTC (GPS time: 1246487219.345). The candidate was found
by the PyCBC Live [1], CWB [2], GstLAL [3], MBTAOnline [4], and SPIIR
[5] analysis pipelines.

S190706ai is an event of interest because its false alarm rate, as
estimated by the online analysis, is 1.9e-09 Hz, or about one in 16
years. The event's properties can be found at this URL:

https://gracedb.ligo.org/superevents/S190706ai

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 17 minutes after the candidate

For the bayestar.fits.gz sky map, the 90% credible region is 1100
deg2. Marginalized over the whole sky, the a posteriori luminosity
distance estimate is 5725 +/- 1446 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] Nitz et al. PRD 98, 024050 (2018)
 [2] Klimenko et al. PRD 93, 042004 (2016)
 [3] Messick et al. PRD 95, 042001 (2017)
 [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)
Looking for U.S. government information and services? Visit USA.gov