FINDCHIRP: an algorithm for detection of gravitational waves from inspiraling compact binaries

Abstract

Matched-filter searches for gravitational waves from coalescing compact binaries by the LIGO Scientific Collaboration use the FINDCHIRP algorithm: an implementation of the optimal filter with innovations to account for unknown signal parameters and to improve performance on detector data that has nonstationary and non-Gaussian artifacts. We provide details on the FINDCHIRP algorithm as used in the search for subsolar mass binaries, binary neutron stars, neutron star-black hole binaries, and binary black holes.

arXiv comment19 pages, 1 figure, journal version with Creative Commons 4.0 open-access license added

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• The balancing act of template bank construction: inspiral waveform template banks for gravitational-wave detectors and optimizations at fixed computational cost
• Gravitational Wave Measurement in the Mid-Band with Atom Interferometers
• Detection of gravitational wave mixed polarization with single space-based detectors
• What is the nature of GW230529? An exploration of the gravitational lensing hypothesis
• Template bank to search for exotic gravitational wave signals from astrophysical compact binaries
• Matched-filter study and energy budget suggest no detectable gravitational-wave 'extended emission' from GW170817
• Efficient Stochastic Template Bank using Inner Product Inequalities
• Numerical relativity surrogate models for exotic compact objects: the case of head-on mergers of equal-mass Proca stars
• Spin effects in the phasing formula of eccentric compact binary inspirals up to the third post-Newtonian order
• A Unified $p_{\mathrm{astro}}$ for Gravitational Waves: Consistently Combining Information from Multiple Search Pipelines
• Astrophysical Source Classification and Distance Estimation for PyCBC Live
• Systematic biases from ignoring environmental tidal effects in gravitational wave observations
• Comparison between time-domain and frequency-domain Bayesian inferences to inspiral-merger-ringdown gravitational-wave signals
• Sensitivity of spin-aligned searches for neutron star-black hole systems using future detectors
• Conditional Noise Deep Learning for Parameter Estimation of Gravitational Wave Events
• Riroriro: Simulating gravitational waves and evaluating their detectability in Python
• Accelerating Tests of General Relativity with Gravitational-Wave Signals using Hybrid Sampling
• Time delay interferometry with minimal null frequencies
• Prospects for intermediate mass black hole binary searches with advanced gravitational-wave detectors
• Template banks based on ${\mathbb{Z}}^n$ and $A_n^{\ast }$ lattices
• Reducing the number of templates for aligned-spin compact binary coalescence gravitational wave searches using metric-agnostic template nudging
• Employing Deep Learning for Detection of Gravitational Waves from Compact Binary Coalescences
• Black Hole Mass Function of Coalescing Neutron Star-Black Hole Binary Systems: The Prospect of Reconstruction with the Gravitational Wave Observations
• cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation
• Binary Neutron Star Merger Search Pipeline Powered by Deep Learning
• Fast prediction and evaluation of eccentric inspirals using reduced-order models
• Navigating Unknowns: Deep Learning Robustness for Gravitational Wave Signal Reconstruction
• Parameter inference for coalescing massive black hole binaries using deep learning
• Constraining parameters of coalescing stellar mass binary black hole systems with the Einstein Telescope alone
• Efficient method for measuring the parameters encoded in a gravitational-wave signal
• Semianalytical Approach for Sky Localization of Gravitational Waves
• Targeted Search for Gravitational Waves from Highly Spinning Light Compact Binaries
• Astrophysics with the Laser Interferometer Space Antenna
• Prospects for early localization of gravitational-wave signals from compact binary coalescences with advanced detectors
• TESLA-X: An effective method to search for sub-threshold lensed gravitational waves with a targeted population model
• Detection of GW200105 with a targeted eccentric search
• Efficiency of nonspinning templates in gravitational wave searches for aligned-spin binary black holes
• Exploring the Dynamics of General Relativistic Binary-Single and Binary-Binary Encounters of Black Holes
• Gravitational Wave Searches for Aligned-Spin Binary Neutron Stars Using Nonspinning Templates
• Novel Deep Learning Approach to Detecting Binary Black Hole Mergers
• Method to search for inspiraling planetary-mass ultra-compact binaries using the generalized frequency-Hough transform in LIGO O3a data
• Exposing Gravitational Waves below the Quantum Shot Noise
• Testing the validity of the phenomenological gravitational waveform models for nonspinning binary black hole searches at low masses
• A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals
• Identifying and Mitigating Machine Learning Biases for the Gravitational Wave Detection Problem
• A follow-up on intermediate-mass black hole candidates in the second LIGO-Virgo observing run with the Bayes Coherence Ratio
• Constraining parameters of low mass merging compact binary systems with Einstein Telescope alone
• Review of Conformally Flat Approximation for Binary Neutron Star Initial Conditions
• Effects of Short-Distance Modifications to General Relativity in Spinning Binary Systems
• Uncovering faint lensed gravitational-wave signals and reprioritizing their follow-up analysis using galaxy lensing forecasts with detected counterparts
• The impact of local noise recorded at the ET candidate sites on the signal to noise ratio of CBC gravitational wave signals for the ET triangle configuration
• WINTER on S250206dm: A near-infrared search for an electromagnetic counterpart to a gravitational-wave event
• Systematic Bias Due to Nonspinning Template Waveforms in the Gravitational Wave Parameter Estimation for Aligned-Spin Binary Black Holes
• DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
• Comparison of neural network architectures for feature extraction from binary black hole merger waveforms
• First joint observation by the underground gravitational-wave detector, KAGRA, with GEO600
• On non-detection of Gamma-Ray Bursts in three compact binary merger events detected by LIGO
• Optimizing the low-latency localization of gravitational waves
• GW170814: Gravitational wave polarization analysis
• Mitigating the effect of the population model uncertainty on the strong lensing Bayes factor using nonparametric methods
• Searches for Gravitational Waves from Binary Neutron Stars: A Review
• Deep Multimessenger Search for Compact Binary Mergers in LIGO, Virgo, and Fermi/GBM Data from 2016-2017
• Is GW151226 a really signal of gravitational wave?
• Reconstructing the star formation rate for compact binary populations with the Einstein telescope
• Star Shearing Season -- Transient Signals in Wave-like Dark Matter Experiments from Black Hole Formation
• Impact of noise transients on gravitational-wave burst detection efficiency of the BayesWave pipeline with multi-detector networks
• Measurability of neutron star tidal deformability from merging neutron star-black hole binaries
• Hierarchical searches for subsolar-mass binaries and the third-generation gravitational wave detector era
• Experimental Limits on Planetary Mass Primordial Black Hole Mergers
• A weakly-modeled search for compact binary coalescences in Einstein Telescope
• Beyond FINDCHIRP: Breaking the memory wall and optimal FFTs for Gravitational-Wave Matched-Filter Searches with Ratio-Filter Dechirping
• Metric Assisted Stochastic Sampling (MASS) search for gravitational waves from binary black hole mergers
• Weak-Value Amplification for Longitudinal Phase Measurements Approaching the Shot-Noise Limit Characterized by Allan Variance
• Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks
• Propagation effect of gravitational wave on detector response
• Acceleration of low-latency gravitational wave searches using Maxwell-microarchitecture GPUs
• Effect of kick velocity on gravitational wave detection of binary black holes with space- and ground-based detectors
• Pearson cross-correlation in the first four black hole binary mergers
• A gating-and-inpainting perspective on GW150914 ringdown overtone: understanding the data analysis systematics
• Archival Inference for Eccentric Stellar-Mass Binary Black Holes in Space-Based Gravitational Wave Observations
• Reducing systematic uncertainties in gravitational-wave population analyses by increasing the detection threshold
• Probing cosmic strings via gravitational-wave lensing
• First Overtone Mode in the Ringdown Signal of GW231028
• Improved Binary Black Hole Search Discriminator from the Singular Value Decomposition of Non-Gaussian Noise Transients
• Gravitational-wave matched filtering on a quantum computer
• Uncertainty and bias of cosmology and astrophysical population model from statistical dark sirens
• The impact of precession and higher-order multipoles for gravitational wave cosmological inference
• Learning and Interpreting Gravitational-Wave Features from CNNs with a Random Forest Approach
• Recovery of the starting times of delayed signals
• New Metrics for Identifying Variables and Transients in Large Astronomical Surveys
• Genetic-algorithm-optimized neural networks for gravitational wave classification
• Unveiling gravitational waves from core-collapse supernovae with MUSE
• Motion of photons in a background of gravitational wave
• Regression of Suspension Violin Modes in KAGRA O3GK Data with Kalman Filters
• Denoising gravitational wave with deep learning in the time-frequency domain
• Sky localization and polarization mode reconstruction of gravitational waves from GW170104 and GW150914
• Time-domain deep learning filtering of structured atmospheric noise for ground-based millimeter astronomy
• labrador: A domain-optimized machine-learning tool for gravitational wave inference
• A template-free approach for waveform extraction of gravitational wave events
• Search for Precessing Binary Black Holes in Advanced LIGO's Third Observing Run using Harmonic Decomposition
• Search for sub-solar primordial black holes in low mass ratio binaries with LIGO-Virgo O2 data and implications for the primordial black hole dark matter fraction
• Using machine learning to auto-tune chi-squared tests for gravitational wave searches
• Performance of Random Template Banks
• Gravitational lensing of gravitational waves: universal characteristics of strongly lensed memory waveforms
• The Emergence of Gravitational Wave Science: 100 Years of Development of Mathematical Theory, Detectors, Numerical Algorithms, and Data Analysis Tools
• Searching for gravitational waves emitted by binaries with spinning components
• Hierarchical search for compact binary coalescences in the Advanced LIGO's first two observing runs