Year: 2024
Type: article
Abstract: We implement an eccentric search for compact binary mergers based on particle swarm optimization. Orbital eccentricity is an invaluable input for understanding the formation scenarios of the binary mergers and can play a pivotal role in finding their electromagnetic counterparts. Current modeled searches rely on precomputed template banks that are computationally expensive and resistant toward expanding the search parameter space dimensionality. On the other hand, particle swarm optimization offers a straightforward algorithm that dynamically selects template points while exploring an arbitrary dimensional parameter space. Through extensive evaluation using simulated signals from spin-aligned eccentric binary mergers, we discovered that the search exhibits a remarkable autonomy in capturing the effects of both eccentricity and spin. We describe our search pipeline and revisit some of the merger candidates from the gravitational wave transient catalogs.
Authors: Souradeep Pal, K. Rajesh Nayak
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funders: National Science and Technology Council, National Science Foundation, Indian Institute of Science, National Research Foundation, Council of Scientific and Industrial Research, India, Ministry of Education, Culture, Sports, Science and Technology, Academia Sinica, National Research Foundation of Korea, Max-Planck-Gesellschaft, Ministry of Education, India, Centre National de la Recherche Scientifique, Indian Institute of Science Education and Research Mohali, Istituto Nazionale di Fisica Nucleare, Ministry of Science and ICT, South Korea, National Science and Technology Council, Science and Technology Facilities Council, Australian Research Council, Japan Society for the Promotion of Science, Instituto Nazionale di Fisica Nucleare
OpenAlex ID: W4401513868