Black Hole Hunting with LISA

Abstract

The Laser Interferometer Space Antenna (LISA) will be able to detect massive black hole mergers throughout the visible Universe. These observations will provide unique information about black hole formation and growth, and the role black holes play in galaxy evolution. Here we develop several key building blocks for detecting and characterizing black hole binary mergers with LISA, including fast heterodyned likelihood evaluations, and efficient stochastic search techniques.

arXiv comment11 pages, 11 figures

References in corpus (32)

• Observation of Gravitational Waves from a Binary Black Hole Merger
• GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs
• Frequency-domain gravitational waves from non-precessing black-hole binaries. II. A phenomenological model for the advanced detector era
• Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo
• Frequency-domain gravitational waves from non-precessing black-hole binaries. I. New numerical waveforms and anatomy of the signal
• Data analysis of gravitational-wave signals from spinning neutron stars. I. The signal and its detection
• Angular Resolution of the LISA Gravitational Wave Detector
• Science with the space-based interferometer eLISA. I: Supermassive black hole binaries
• A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals
• Predicting the LISA white dwarf binary population in the Milky Way with cosmological simulations
• Reconstructing the massive black hole cosmic history through gravitational waves
• Post-Newtonian Evolution of Massive Black Hole Triplets in Galactic Nuclei: IV. Implications for LISA
• Galactic binary science with the new LISA design
• The Mock LISA Data Challenges: from Challenge 3 to Challenge 4
• Forward Modeling of Space-borne Gravitational Wave Detectors
• Accelerated gravitational-wave parameter estimation with reduced order modeling
• Prospects for observing extreme-mass-ratio inspirals with LISA
• The Mock LISA Data Challenges: from Challenge 1B to Challenge 3
• Reduced basis catalogs for gravitational wave templates
• Are stellar-mass black-hole binaries too quiet for LISA?
• The Search for Massive Black Hole Binaries with LISA
• The Effect of Higher Harmonic Corrections on the Detection of massive black hole binaries with LISA
• MCMC Exploration of Supermassive Black Hole Binary Inspirals
• The Mock LISA Data Challenges: An overview
• Catching Super Massive Black Hole Binaries Without a Net
• Detecting Gravitational Wave Bursts with LISA in the presence of Instrumental Glitches
• Characterizing the Gravitational Wave Signature from Cosmic String Cusps
• Searching for Massive Black Hole Binaries in the first Mock LISA Data Challenge
• Cosmic Swarms: A search for Supermassive Black Holes in the LISA data stream with a Hybrid Evolutionary Algorithm
• Inference on inspiral signals using LISA MLDC data
• Searches for Cosmic-String Gravitational-Wave Bursts in Mock LISA Data
• The search for black hole binaries using a genetic algorithm

Cited by in corpus (25)

• Bayesian inference for compact binary coalescences with BILBY: Validation and application to the first LIGO--Virgo gravitational-wave transient catalogue
• Characterization of the stochastic signal originating from compact binaries populations as measured by LISA
• Probing Fundamental Physics with Gravitational Waves: The Next Generation
• Heterodyned Likelihood for Rapid Gravitational Wave Parameter Inference
• Gravitational-wave surrogate models powered by artificial neural networks: The ANN-Sur for waveform generation
• Modeling compact binary signals and instrumental glitches in gravitational wave data
• Time-Frequency Analysis of Gravitational Wave Data
• Effect of data gaps on the detectability and parameter estimation of massive black hole binaries with LISA
• Noisy neighbours: inference biases from overlapping gravitational-wave signals
• Space-based gravitational wave signal detection and extraction with deep neural network
• Rapid and Robust Parameter Inference for Binary Mergers
• Massive Black Hole Binaries and Where to Find Them with Dual Detector Networks
• Parameter Estimation for Stellar-Origin Black Hole Mergers In LISA
• Low Latency Detection of Massive Black Hole Binaries
• Advancing Space-Based Gravitational Wave Astronomy: Rapid Parameter Estimation via Normalizing Flows
• An Efficient Signal to Noise Approximation for Eccentric Inspiraling Binaries
• Computational Techniques for Parameter Estimation of Gravitational Wave Signals
• Tracing Astrophysical Black Hole Seeds and Primordial Black Holes with LISA-Taiji Network
• Astrophysics with the Laser Interferometer Space Antenna
• Accelerated parameter estimation of supermassive black hole binaries in LISA using a meshfree approximation
• Fast detection and reconstruction of merging Massive Black Hole Binary signals
• Extracting overlapping gravitational-wave signals of galactic compact binaries: a mini review
• Parameter estimation for space-based gravitational wave detectors with ringdown signals
• LISA Gravitational Wave Sources in A Time-Varying Galactic Stochastic Background
• A fully-automated end-to-end pipeline for massive black hole binary signal extraction from LISA data