Scalable matched-filtering pipeline for gravitational-wave searches of compact binary mergers

This material is based upon work supported by NSF’s LIGO Laboratory, which is a major facility fully funded by the National Science Foundation. LIGO Laboratory and Advanced LIGO are funded by the U.S. National Science Foundation (NSF) as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, and Spain. The authors are grateful for computational resources provided by the Pennsylvania State University’s Institute for Computational and Data Sciences gravitational-wave cluster, and the LIGO Lab cluster at the LIGO Laboratory, and supported by the National Science Foundation Awards No. OAC-2103662, No. PHY-2308881, No. PHY-2011865, No. OAC-2201445, No. OAC-2018299, No. PHY-0757058, No. PHY-0823459, and No. PHY-2207728. C. H. acknowledges generous support from the Eberly College of Science, the Department of Physics, the Institute for Gravitation and the Cosmos, and the Institute for Computational and Data Sciences. This research has made use of data, software, and/or web tools obtained from the Gravitational Wave Open Science Center [31], a service of LIGO Laboratory, the LIGO Scientific and the Virgo Collaborations. We especially made heavy use of the LVK Algorithm Library [32].