A Broker Integrated Algorithm for Gravitational Wave - Electromagnetic Counterpart Searches in O4a and O4b Runs
Hemanth Bommireddy, Francisco Forster, Isaac McMahon, Manuel Pavez Herrera, Regis Cartier, Felipe Olivares Estay, Lorena Hern\'andez Garc\'ia, Mary Loli Mart\'inez Aldama, Alejandra Mu\~noz Arancibia

TL;DR
This paper introduces an automated framework leveraging public alert brokers and machine learning to systematically search for optical counterparts of gravitational wave events during LVK O4 runs, successfully identifying several candidates.
Contribution
The work presents a novel, systematic approach combining alert broker data, machine learning, and host-galaxy crossmatching to identify potential electromagnetic counterparts to GW events.
Findings
Identified one candidate in O4a and four in O4b runs.
Candidates were consistent with supernova or tidal disruption events.
One candidate was a transient in an active galactic nucleus.
Abstract
We present an automated framework to search for optical counterparts of LIGO-Virgo-KAGRA (LVK) gravitational wave (GW) superevents using public Zwicky Transient Facility (ZTF) alerts processed through the ALeRCE broker. The goal is to filter and identify optical transients potentially associated with binary black hole (BBH) mergers during the LVK O4a and O4b observing runs. Using the Automatic Learning for the Rapid Classification of Events (ALeRCE) infrastructure, we spatially query ZTF alerts within GW localization regions and apply machine learning classifiers, host-galaxy crossmatching, and temporal cuts within 200 days post-merger to isolate plausible candidates. Our search yielded one candidate in O4a and four in O4b, several consistent with the supernova or tidal disruption event regime. This work demonstrates that public alert brokers can establish a robust baseline for…
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