output
19952026
most citedObservation of Gravitational Waves from a Binary Black Hole Merger

14.2k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2006 · gr-qcShow all

7 papers · 2 filters

gr-qc2006★ 72 cited

The Search for Massive Black Hole Binaries with LISA

Neil J. Cornish, Edward K. Porter

In this work we focus on the search and detection of Massive black hole binary (MBHB) systems, including systems at high redshift. As well as expanding on previous works where we u…

gr-qc2006★ 52 cited

The Mock LISA Data Challenges: An overview

K. A. Arnaud, S. Babak, J. G. Baker +8

The LISA International Science Team Working Group on Data Analysis (LIST-WG1B) is sponsoring several rounds of mock data challenges, with the purposeof fostering the development of…

gr-qc2006★ 2 cited

Modelling the post-Newtonian test-mass gravitational wave flux function for compact binary systems using Chebyshev polynomials

Edward K. Porter

We introduce a new method for modelling the gravitational wave flux function of a test-mass particle inspiralling into an intermediate mass Schwarzschild black hole which is based…

gr-qc2006★ 4 cited

Slice & Dice: Identifying and Removing Bright Galactic Binaries from LISA Data

Louis J. Rubbo, Neil J. Cornish, Ronald W. Hellings

Here we describe a hierarchal and iterative data analysis algorithm used for searching, characterizing, and removing bright, monochromatic binaries from the Laser Interferometer Sp…

gr-qc2006★ 48 cited

Catching Super Massive Black Hole Binaries Without a Net

Neil J. Cornish, Edward K. Porter

The gravitational wave signals from coalescing Supermassive Black Hole Binaries are prime targets for the Laser Interferometer Space Antenna (LISA). With optimal data processing te…

gr-qc2006★ 57 cited

MCMC Exploration of Supermassive Black Hole Binary Inspirals

Neil J. Cornish, Edward K. Porter

The Laser Interferometer Space Antenna will be able to detect the inspiral and merger of Super Massive Black Hole Binaries (SMBHBs) anywhere in the Universe. Standard matched filte…

gr-qc2006★ 44 cited

Darwin Meets Einstein: LISA Data Analysis Using Genetic Algorithms

Jeff Crowder, Neil J. Cornish, Lucas Reddinger

This work presents the first application of the method of Genetic Algorithms (GAs) to data analysis for the Laser Interferometer Space Antenna (LISA). In the low frequency regime o…