Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run

Software and data products required to reproduce figures will be provided upon reasonable request to the authors. We thank Varun Bhalerao for review of this paper. We thank the MBTA team for their contributions and for allowing the use of their pipeline data. We are grateful for computational resources provided by LIGO Laboratory and are supported by NSF Grants No. PHY-0757058 and No. PHY0823459. This material is based upon work supported by NSF’s LIGO Laboratory, which is a major facility fully funded by the NSF. This work used Expanse at the San Diego Supercomputer Cluster through allocation AST200029—“Towards a complete catalog of variable sources to support efficient searches for compact binary mergers and their products” from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by NSF grants #2138259, #2138286, #2138307, #2137603, and #2138296. A.T. and M.W.C. acknowledge support from the NSF with grant numbers PHY-2010970 and OAC-2117997. S.S.C. and M.C. acknowledge support from the NSF with grant number PHY-2011334 and PHY-2308693. M.C. would also acknowledge support from NSF PHY-2219212. D.C. would like to acknowledge support from the NSF grants OAC-2117997 and PHY-1764464. E.K., E.M., G.M. would like to acknowledge support from NSF Grant PHY-1764464. S.M. acknowledges support from JSPS Grant-in-Aid for Transformative Research Areas (A) No. 23H04891 and No. 23H04893. S.A. thanks the MITI CNRS for their financial support. S.G. acknowledges NSF PHY-2110576. N.A., P.B., A.B., P.B., Y.K.C., C.M., and J.C. acknowledge NSF PHY-2207728. T.D. and V.V.O. have received financial support from Xunta de Galicia (CIGUS Network of research centers), by European Union ERDF and by the “María de Maeztu” Units of Excellence program CEX2020-001035-M and the Spanish Research State Agency, and are supported by the research grant PID2020-118635GB-I00 from the Spanish Ministerio de Ciencia e Innovación.

The entire mock data challenge consists of a number of cycles each with 40 d of replayed GW strain data with frequent injections. A single trigger alone on an injection contains a large set of data products and outputs, so for logistical reasons it would be best to only release very specific and reduced portions of our data. Software and data products required to reproduce figures will be provided upon reasonable request to the authors.