Matched filtering and parameter estimation of ringdown waveforms

• Tipo: Artigo em Revista Científica Internacional
• Data: 2007

Autores

Emanuele Berti (Autor) Outra; Jaime Cardoso (Autor) FEUP; Vitor Cardoso (Autor) Outra; Marco Cavaglia (Autor) Outra

Revista

Título: Physical Review D - Particles, Fields, Gravitation and Cosmology

Vol. 76 Nº 10

ISSN: 1550-7998

Editora: American Physical Society

Indexação

ISI Web of Knowledge - 108 Citações

Scopus - 114 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica

FOS: Ciências exactas e naturais > Física

Outras Informações

ID Authenticus: P-004-6N8

DOI: 10.1103/physrevd.76.104044

Abstract (EN): Using recent results from numerical relativity simulations of nonspinning binary black hole mergers, we revisit the problem of detecting ringdown waveforms and of estimating the source parameters, considering both LISA and Earth-based interferometers. We find that Advanced LIGO and EGO could detect intermediate-mass black holes of mass up to similar to 10(3)M(circle dot) out to a luminosity distance of a few Gpc. For typical multipolar energy distributions, we show that the single-mode ringdown templates presently used for ringdown searches in the LIGO data stream can produce a significant event loss (> 10% for all detectors in a large interval of black hole masses) and very large parameter estimation errors on the black hole's mass and spin. We estimate that more than similar to 10(6) templates would be needed for a single-stage multimode search. Therefore, we recommend a "two-stage" search to save on computational costs: single-mode templates can be used for detection, but multimode templates or Prony methods should be used to estimate parameters once a detection has been made. We update estimates of the critical signal-to-noise ratio required to test the hypothesis that two or more modes are present in the signal and to resolve their frequencies, showing that second-generation Earth-based detectors and LISA have the potential to perform no-hair tests.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 17