15–19 Sept 2025
Instituto Nacional de Pesquisas Espaciais (INPE)
America/Sao_Paulo timezone

INVESTIGATING GRAVITATIONAL WAVES IN CORRESPONDENCE WITH GRB TRIGGERS

Not scheduled
20m
Auditório Fernando de Mendonça (Instituto Nacional de Pesquisas Espaciais (INPE))

Auditório Fernando de Mendonça

Instituto Nacional de Pesquisas Espaciais (INPE)

Av. dos Astronautas, 1758 - Jardim da Granja, São José dos Campos - SP, CEP: 12227-010, Brasil.

Speaker

Juan Martins

Description

Traditional astronomy has studied cosmic phenomena through electromagnetic radiation, from radio to gamma rays. Modern multimessenger astronomy extends this by including additional cosmic messengers: gravitational waves (GWs), high-energy neutrinos (HENs), and cosmic rays. Each cosmic messenger provides unique insights into extreme astrophysical events such as binary black hole and binary neutron star mergers, quasars, and supernovae, offering a broader understanding of the universe. The landmark GW170817 event initiated GW multimessenger astronomy with its coincident gamma-ray burst (GRB) detection and multiwavelength electromagnetic follow-up. GRBs, especially short bursts associated with compact binary mergers, are prime multimessenger targets due to their relativistic jets and potential coincident GW emission. Our search uses GRB triggers (e.g., from Fermi-GBM) to define targeted time-frequency windows where the GW search will rely on. Our GW search employs X-Pipeline, a coherent, unmodeled analysis tool that integrates multi-detector data using external triggers (e.g., GRBs). The algorithm creates time-frequency energy maps, selects the top 1% brightest pixels, and clusters them. By statistically ranking clustered pixels, we distinguish glitches from potential GW signals, enabling probes of central engine physics and jet dynamics. This approach complements electromagnetic observations to unravel GRB progenitors and their multimessenger signatures. We will demonstrate here how event analysis is performed using X-Pipeline, using GRB230618B as our example case study.

Authors

Iara Tosta E Melo (UniCT - INFN) Juan Martins Prof. Márcio Alves (Instituto de Ciência e Tecnologia - UNESP) Pedro Jeronimo Santos da Silva (Universidade Estadual Paulista (Unesp))

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