Massive black-hole binary inspirais: Results from the LISA parameter estimation taskforce

K. G. Arun, Stas Babak, Emanuele Berti, Neil Cornish, Curt Cutler, Jonathan Gair, Scott A. Hughes, Bala R. Iyer, Ryan N. Lang, Ilya Mandel, Edward K. Porter, Bangalore S. Sathyaprakash, Siddhartha Sinha, Alicia M. Sintes, Miquel Trias, Chris Den Van Broeck, Marta Volonteri

Research output: Contribution to journalArticlepeer-review

98 Scopus citations


The LISA Parameter Estimation Taskforce was formed in September 2007 to provide the LISA Project with vetted codes, source distribution models and results related to parameter estimation. The Taskforce's goal is to be able to quickly calculate the impact of any mission design changes on LISA'S science capabilities, based on reasonable estimates of the distribution of astrophysical sources in the universe. This paper describes our Taskforce's work on massive black-hole binaries (MBHBs). Given present uncertainties in the formation history of MBHBs, we adopt four different population models, based on (i) whether the initial black-hole seeds are small or large and (ii) whether accretion is efficient or inefficient at spinning up the holes. We compare four largely independent codes for calculating LISA'S parameter-estimation capabilities. All codes are based on the Fisher-matrix approximation, but in the past they used somewhat different signal models, source parametrizations and noise curves. We show that once these differences are removed, the four codes give results in extremely close agreement with each other. Using a code that includes both spin precession and higher harmonics in the gravitationalwave signal, we carry out Monte Carlo simulations and determine the number of events that can be detected and accurately localized in our four population models.

Original languageEnglish (US)
Article number094027
JournalClassical and Quantum Gravity
Issue number9
StatePublished - May 7 2009

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy (miscellaneous)


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