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LIGO/Virgo/KAGRA S250118az

GCN Circular 38973

Subject
LIGO/Virgo/KAGRA S250118az: Identification of a GW compact binary merger candidate
Date
2025-01-18T06:23:53Z (4 months ago)
From
Zhi-Chao Zhao <zhaozc@cau.edu.cn>
Via
Web form
The LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration report:

We identified the compact binary merger candidate S250118az during real-time processing of data from LIGO Hanford Observatory (H1), LIGO Livingston Observatory (L1), and Virgo Observatory (V1) at 2025-01-18 05:58:02.472 UTC (GPS time: 1421215100.472). The candidate was found by the CWB-BBH [1], GstLAL [2], MBTA [3], PyCBC Live [4], and SPIIR [5] analysis pipelines.

S250118az is an event of interest because its false alarm rate, as estimated by the online analysis, is 9.8e-09 Hz, or about one in 3 years. The event's properties can be found at this URL:

https://gracedb.ligo.org/superevents/S250118az

The classification of the GW signal, in order of descending probability, is BBH (>99%), Terrestrial (<1%), NSBH (<1%), or BNS (<1%).

Assuming the candidate is astrophysical in origin, the probability that the lighter compact object is consistent with a neutron star mass (HasNS) is <1%. [6] Using the masses and spins inferred from the signal, the probability of matter outside the final compact object (HasRemnant) is <1%. [6] Both HasNS and HasRemnant consider the support of several neutron star equations of state. The probability that either of the binary components lies between 3 and 5 solar masses (HasMassGap) is 19%.

Two sky maps are available at this time and can be retrieved from the GraceDB event page:
 * bayestar.multiorder.fits,1, an initial localization generated by BAYESTAR [7], distributed via GCN notice about 29 seconds after the candidate event time.
 * bayestar.multiorder.fits,2, an initial localization generated by BAYESTAR [7], distributed via GCN notice about 5 minutes after the candidate event time.

The preferred sky map at this time is bayestar.multiorder.fits,2. For the bayestar.multiorder.fits,2 sky map, the 90% credible region is 1219 deg2. Marginalized over the whole sky, the a posteriori luminosity distance estimate is 1336 +/- 410 Mpc (a posteriori mean +/- standard deviation).

For further information about analysis methodology and the contents of this alert, refer to the LIGO/Virgo/KAGRA Public Alerts User Guide https://emfollow.docs.ligo.org/.

 [1] T. Mishra et al. PRD 105, 083018 (2022) doi:10.1103/PhysRevD.105.083018

 [2] Tsukada et al. PRD 108, 043004 (2023) doi:10.1103/PhysRevD.108.043004 and Ewing et al. (2023) arXiv:2305.05625
 [3] Aubin et al. CQG 38, 095004 (2021) doi:10.1088/1361-6382/abe913
 [4] Dal Canton et al. ApJ 923, 254 (2021) doi:10.3847/1538-4357/ac2f9a
 [5] Chu et al. PRD 105, 024023 (2022) doi:10.1103/PhysRevD.105.024023
 [6] Chatterjee et al. ApJ 896, 54 (2020) doi:10.3847/1538-4357/ab8dbe
 [7] Singer & Price PRD 93, 024013 (2016) doi:10.1103/PhysRevD.93.024013



GCN Circular 39238

Subject
LIGO/Virgo/KAGRA S250118az: Updated Sky localization
Date
2025-02-08T16:27:45Z (4 months ago)
From
Will Farr <will.farr@stonybrook.edu>
Via
Web form
The LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration report:

We have conducted further analysis of the LIGO Hanford Observatory (H1), LIGO Livingston Observatory (L1), and Virgo Observatory (V1) data around the time of the compact binary merger (CBC) candidate S250118az (GCN Circular 38973). Parameter estimation has been performed using Bilby [1] and a new sky map, Bilby.offline0.multiorder.fits,0, distributed via GCN Notice, is available for retrieval from the GraceDB event page:

https://gracedb.ligo.org/superevents/S250118az

For the Bilby.offline0.multiorder.fits,0 sky map, the 90% credible region is 601 deg2. Marginalized over the whole sky, the a posteriori luminosity distance estimate is 918 +/- 401 Mpc (a posteriori mean +/- standard deviation).

For further information about analysis methodology and the contents of this alert, refer to the LIGO/Virgo/KAGRA Public Alerts User Guide https://emfollow.docs.ligo.org/.

 [1] Ashton et al. ApJS 241, 27 (2019) doi:10.3847/1538-4365/ab06fc and Morisaki et al. (2023) arXiv:2307.13380

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