We compare the science capabilities of different eLISA mission designs, including four-link (two-arm) and six-link (three-arm) configurations with different arm lengths, low-frequency noise sensitivities and mission durations. For each of these configurations we consider a few representative massive black hole formation scenarios. These scenarios are chosen to explore two physical mechanisms that greatly affect eLISA rates, namely (i) black hole seeding, and (ii) the delays between the merger of two galaxies and the merger of the black holes hosted by those galaxies. We assess the eLISA parameter estimation accuracy using a Fisher matrix analysis with spin-precessing, inspiral-only waveforms. We quantify the information present in the merger and ringdown by rescaling the inspiral-only Fisher matrix estimates using the signal-to-noise ratio from nonprecessing inspiral-merger-ringdown phenomenological waveforms, and from a reduced set of precessing numerical relativity/post-Newtonian hybrid waveforms. We find that all of the eLISA configurations considered in our study should detect some massive black hole binaries. However, configurations with six links and better low-frequency noise will provide much more information on the origin of black holes at high redshifts and on their accretion history, and they may allow the identification of electromagnetic counterparts to massive black hole mergers.

Klein, A., Barausse, E., Sesana, A., Petiteau, A., Berti, E., Babak, S., et al. (2016). Science with the space-based interferometer eLISA: Supermassive black hole binaries. PHYSICAL REVIEW D, 93(2) [10.1103/PhysRevD.93.024003].

Science with the space-based interferometer eLISA: Supermassive black hole binaries

Sesana A.;Berti E.;
2016

Abstract

We compare the science capabilities of different eLISA mission designs, including four-link (two-arm) and six-link (three-arm) configurations with different arm lengths, low-frequency noise sensitivities and mission durations. For each of these configurations we consider a few representative massive black hole formation scenarios. These scenarios are chosen to explore two physical mechanisms that greatly affect eLISA rates, namely (i) black hole seeding, and (ii) the delays between the merger of two galaxies and the merger of the black holes hosted by those galaxies. We assess the eLISA parameter estimation accuracy using a Fisher matrix analysis with spin-precessing, inspiral-only waveforms. We quantify the information present in the merger and ringdown by rescaling the inspiral-only Fisher matrix estimates using the signal-to-noise ratio from nonprecessing inspiral-merger-ringdown phenomenological waveforms, and from a reduced set of precessing numerical relativity/post-Newtonian hybrid waveforms. We find that all of the eLISA configurations considered in our study should detect some massive black hole binaries. However, configurations with six links and better low-frequency noise will provide much more information on the origin of black holes at high redshifts and on their accretion history, and they may allow the identification of electromagnetic counterparts to massive black hole mergers.
Articolo in rivista - Articolo scientifico
eneral Relativity and Quantum Cosmology; Astrophysics - High Energy Astrophysical Phenomena; black holes; gravitational waves
English
2016
93
2
024003
reserved
Klein, A., Barausse, E., Sesana, A., Petiteau, A., Berti, E., Babak, S., et al. (2016). Science with the space-based interferometer eLISA: Supermassive black hole binaries. PHYSICAL REVIEW D, 93(2) [10.1103/PhysRevD.93.024003].
File in questo prodotto:
File Dimensione Formato  
PhysRevD.93.024003.pdf

Solo gestori archivio

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Dimensione 1.7 MB
Formato Adobe PDF
1.7 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/290621
Citazioni
  • Scopus 377
  • ???jsp.display-item.citation.isi??? 359
Social impact