English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Massive black hole binaries are the primary source of gravitational waves(GW) for the future eLISA observatory. The detection and parameter estimationof these sources to high redshift would provide invaluable information on theformation mechanisms of seed black holes, and on the evolution of massive blackholes and their host galaxies through cosmic time. The Fisher informationmatrix has been the standard tool for GW parameter estimation in the last twodecades. However, recent studies have questioned the validity of using theFisher matrix approach. For example, the Fisher matrix approach sometimespredicts errors of $\geq100\%$ in the estimation of parameters such as theluminosity distance and sky position. With advances in computing power,Bayesian inference is beginning to replace the Fisher matrix approximation inparameter estimation studies. In this work, we conduct a Bayesian inferenceanalysis for 120 sources situated at redshifts of between $0.1\leq z\leq 13.2$,and compare the results with those from a Fisher matrix analysis. The Fishermatrix results suggest that for this particular selection of sources, eLISAwould be unable to localize sources at redshifts of $z\lesssim6$. In contrast,Bayesian inference provides finite error estimations for all sources in thestudy, and shows that we can establish minimum closest distances for allsources. The study further predicts that we should be capable with eLISA, outto a redshift of at least $z\leq13$, of predicting a maximum error in the chirpmass of $\lesssim 1\%$, the reduced mass of $\lesssim20\%$, the time tocoalescence of 2 hours, and to a redshift of $z\sim5$, the inclination of thesource with a maximum error of $\sim60$ degrees.

Fisher vs. Bayes : A comparison of parameter estimation techniques for massive black hole binaries to high redshifts with eLISA