Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Massive black-hole binary inspirals: results from the LISA parameter estimation taskforce

Arun, K. G., Babak, Stas, Berti, Emanuele, Cornish, Neil, Cutler, Curt, Gair, Jonathan, Hughes, Scott A., Iyer, Bala R., Lang, Ryan N., Mandel, Ilya, Porter, Edward K., Sathyaprakash, Bangalore Suryanarayana, Sinha, Siddhartha, Sintes, Alicia M., Trias, Miquel, Van Den Broeck, Chris and Volonteri, Marta 2009. Massive black-hole binary inspirals: results from the LISA parameter estimation taskforce. Classical and Quantum Gravity 26 (9) , 094027. 10.1088/0264-9381/26/9/094027

Full text not available from this repository.


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 gravitational-wave 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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Subjects: Q Science > QC Physics
Uncontrolled Keywords: Gravitation and cosmology; Astrophysics and astroparticles
Additional Information: 14 pp.
Publisher: Intitute of Physics
ISSN: 0264-9381
Last Modified: 18 Oct 2017 13:39

Citation Data

Cited 81 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item