The Search for Massive Black Hole Binaries with LISA

Abstract

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 used a variant of Markov Chain Monte Carlo (MCMC), called Metropolis-Hastings Monte Carlo, with simulated annealing, we introduce a new search method based on frequency annealing which leads to a more rapid and robust detection. We compare the two search methods on systems where we do and do not see the merger of the black holes. In the non-merger case, we also examine the posterior distribution exploration using a 7-D MCMC algorithm. We demonstrate that this method is effective in dealing with the high correlations between parameters, has a higher acceptance rate than previously proposed methods and produces posterior distribution functions that are close to the prediction from the Fisher Information matrix. Finally, after carrying out searches where there is only one binary in the data stream, we examine the case where two black hole binaries are present in the same data stream. We demonstrate that our search algorithm can accurately recover both binaries, and more importantly showing that we can safely extract the MBHB sources without contaminating the rest of the data stream.

Final published version. Accepted by Classical and Quantum Gravity

References in corpus (18)

• On gravitational-wave spectroscopy of massive black holes with the space interferometer LISA
• A Compact Supermassive Binary Black Hole System
• Spinning-black-hole binaries: The orbital hang up
• Binary black hole merger dynamics and waveforms
• How to move a black hole without excision: gauge conditions for the numerical evolution of a moving puncture
• The imprint of massive black hole formation models on the LISA data stream
• The last orbit of binary black holes
• Spin-orbit interactions in black-hole binaries
• A Solution to the Galactic Foreground Problem for LISA
• X-ray Detection of the Proto Supermassive Binary Black Hole at the Centre of Abell 400
• Bayesian inference on compact binary inspiral gravitational radiation signals in interferometric data
• MCMC Exploration of Supermassive Black Hole Binary Inspirals
• Catching Super Massive Black Hole Binaries Without a Net
• Darwin Meets Einstein: LISA Data Analysis Using Genetic Algorithms
• LISA observations of massive black hole mergers: event rates and issues in waveform modelling
• A Markov Chain Monte Carlo approach to the study of massive black hole binary systems with LISA
• Tomographic approach to resolving the distribution of LISA Galactic binaries
• Slice & Dice: Identifying and Removing Bright Galactic Binaries from LISA Data

Cited by in corpus (51)

• Exploring short gamma-ray bursts as gravitational-wave standard sirens
• Testing General Relativity with Low-Frequency, Space-Based Gravitational-Wave Detectors
• The Mock LISA Data Challenges: from Challenge 3 to Challenge 4
• Optimal strategies for continuous gravitational wave detection in pulsar timing arrays
• Accurate Simulations of Binary Black-Hole Mergers in Force-Free Electrodynamics
• A targeted coherent search for gravitational waves from compact binary coalescences
• Use of the MultiNest algorithm for gravitational wave data analysis
• Constraining the Inclination of Binary Mergers from Gravitational-wave Observations
• Biases in parameter estimation from overlapping gravitational-wave signals in the third generation detector era
• Observing the inspiral of coalescing massive black hole binaries with LISA in the era of Multi-Messenger Astrophysics
• The Effect of Higher Harmonic Corrections on the Detection of massive black hole binaries with LISA
• Detecting eccentric supermassive black hole binaries with pulsar timing arrays: Resolvable source strategies
• Constraining the dark energy equation of state using LISA observations of spinning Massive Black Hole binaries
• A detection pipeline for galactic binaries in LISA data
• Report on the second Mock LISA Data Challenge
• Building a stochastic template bank for detecting massive black hole binaries
• Towards inference of overlapping gravitational wave signals
• An algorithm for detection of extreme mass ratio inspirals in LISA data
• Parameter estimation for inspiraling eccentric compact binaries including pericenter precession
• Resolving multiple supermassive black hole binaries with pulsar timing arrays II: genetic algorithm implementation
• A Constrained Metropolis-Hastings Search for EMRIs in the Mock LISA Data Challenge 1B
• Black Hole Hunting with LISA
• Improved time-frequency analysis of extreme-mass-ratio inspiral signals in mock LISA data
• A LISA Data-Analysis Primer
• Detection Strategies for Extreme Mass Ratio Inspirals
• Hubble Space Telescope Wide Field Camera 3 Identifies an $r_p$ = 1 Kpc Dual Active Galactic Nucleus in the Minor Galaxy Merger SDSS J0924+0510 at z = 0.1495
• Localization of transient gravitational wave sources: beyond triangulation
• Fisher vs. Bayes : A comparison of parameter estimation techniques for massive black hole binaries to high redshifts with eLISA
• The search for spinning black hole binaries in mock LISA data using a genetic algorithm
• Multi-messenger Approaches to Supermassive Black Hole Binary Detection and Parameter Estimation: Implications for Nanohertz Gravitational Wave Searches with Pulsar Timing Arrays
• Cosmic Swarms: A search for Supermassive Black Holes in the LISA data stream with a Hybrid Evolutionary Algorithm
• Low Latency Detection of Massive Black Hole Binaries
• A hierarchical search for gravitational waves from supermassive black hole binary mergers
• A High Fraction of Double-peaked Narrow Emission Lines in Powerful Active Galactic Nuclei
• A Hamiltonian Monte Carlo method for Bayesian Inference of Supermassive Black Hole Binaries
• A GPU-accelerated semi-coherent hierarchical search for stellar-mass binary inspiral signals in LISA
• Premerger detection of massive black hole binaries using deep learning
• Detecting compact galactic binaries using a hybrid swarm-based algorithm
• Bayesian inference for binary neutron star inspirals using a Hamiltonian Monte Carlo Algorithm
• Supermassive Black Hole Tests of General Relativity with eLISA
• The search for black hole binaries using a genetic algorithm
• Dictionary learning: a novel approach to detecting binary black holes in the presence of Galactic noise with LISA
• The effect of different eLISA-like configurations on massive black hole parameter estimation
• Accelerated parameter estimation of supermassive black hole binaries in LISA using a meshfree approximation
• Data Analysis Challenges for the Einstein Telescope
• Handling Data Gaps for the Next Generation of Gravitational-Wave Observatories
• Calibrating approximate Bayesian credible intervals of gravitational-wave parameters
• Space-based Gravitational Wave Observatories
• Fast Bayesian analysis of individual binaries in pulsar timing array data
• Quantum Search for Gravitational Wave of Massive Black Hole Binaries
• The Challenges in Gravitational Wave Astronomy for Space-Based Detectors