Exploring Supernova Gravitational Waves with Machine Learning

Abstract

Core-collapse supernovae (CCSNe) emit powerful gravitational waves (GWs). Since GWs emitted by a source contain information about the source, observing GWs from CCSNe may allow us to learn more about CCSNs. We study if it is possible to infer the iron core mass from the bounce and early ring-down GW signal. We generate GW signals for a range of stellar models using numerical simulations and apply machine learning to train and classify the signals. We consider an idealized favourable scenario. First, we use rapidly rotating models, which produce stronger GWs than slowly rotating models. Second, we limit ourselves to models with four different masses, which simplifies the selection process. We show that the classification accuracy does not exceed ~70%, signifying that even in this optimistic scenario, the information contained in the bounce and early ring-down GW signal is not sufficient to precisely probe the iron core mass. This suggests that it may be necessary to incorporate additional information such as the GWs from later post-bounce evolution and neutrino observations to accurately measure the iron core mass.

arXiv commentAccepted MNRAS. 12 pages, 13 figures

References in corpus (114)

• XGBoost: A Scalable Tree Boosting System
• Observation of Gravitational Waves from a Binary Black Hole Merger
• GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral
• Advanced LIGO
• Explosion Mechanisms of Core-Collapse Supernovae
• Dynamo action by differential rotation in a stably stratified stellar interior
• Presupernova Evolution of Differentially Rotating Massive Stars Including Magnetic Fields
• Black Hole Formation in Failing Core-Collapse Supernovae
• Core-collapse supernova equations of state based on neutron star observations
• Nucleosynthesis and Remnants in Massive Stars of Solar Metallicity
• Stability of Standing Accretion Shocks, With an Eye Toward Core Collapse Supernovae
• On the Nature of Core Collapse Supernova Explosions
• Progenitor-Explosion Connection and Remnant Birth Masses for Neutrino-Driven Supernovae of Iron-Core Progenitors
• Core-Collapse Supernova Explosion Theory
• The Magnetorotational Instability in Core Collapse Supernova Explosions
• A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals
• Supernova Simulations with Boltzmann Neutrino Transport: A Comparison of Methods
• Relativistic simulations of rotational core collapse. II. Collapse dynamics and gravitational radiation
• A New Multi-Dimensional General Relativistic Neutrino Hydrodynamics Code of Core-Collapse Supernovae III. Gravitational Wave Signals from Supernova Explosion Models
• Measuring gravitational waves from binary black hole coalescences: II. the waves' information and its extraction, with and without templates
• The gravitational wave burst signal from core collapse of rotating stars
• A Model for Gravitational Wave Emission from Neutrino-Driven Core-Collapse Supernovae
• A Simple Approach to the Supernova Progenitor-Explosion Connection
• An Open-Source Neutrino Radiation Hydrodynamics Code for Core-Collapse Supernovae
• Neutrino-driven convection versus advection in core collapse supernovae
• Characterizing the Gravitational Wave Signal from Core-Collapse Supernovae
• Hydrodynamics of core-collapse supernovae and their progenitors
• Multiple physical elements to determine the gravitational-wave signatures of core-collapse supernovae
• The Development of Explosions in Axisymmetric Ab Initio Core-Collapse Supernova Simulations of 12-25 $M_{\odot }$ Stars
• Relativistic simulations of rotational core collapse. I. Methods, initial models, and code tests
• The gravitational wave signal from core-collapse supernovae
• Gravitational Wave Signals from 3D Neutrino Hydrodynamics Simulations of Core-Collapse Supernovae
• New Two-Dimensional Models of Supernova Explosions by the Neutrino-Heating Mechanism: Evidence for Different Instability Regimes in Collapsing Stellar Cores
• Features of the Acoustic Mechanism of Core-Collapse Supernova Explosions
• The Progenitor Dependence of the Preexplosion Neutrino Emission in Core-Collapse Supernovae
• Directly comparing GW150914 with numerical solutions of Einstein's equations for binary black hole coalescence
• Observing Gravitational Waves from Core-Collapse Supernovae in the Advanced Detector Era
• GRHydro: A new open source general-relativistic magnetohydrodynamics code for the Einstein Toolkit
• Three-Dimensional Supernova Explosion Simulations of 9-, 10-, 11-, 12-, and 13-M${}_{\odot }$ Stars
• Identification and mitigation of narrow spectral artifacts that degrade searches for persistent gravitational waves in the first two observing runs of Advanced LIGO
• The Progenitor Dependence of Three-Dimensional Core-Collapse Supernovae
• Equation of State Effects on Gravitational Waves from Rotating Core Collapse
• Multi-messenger signals of long-term core-collapse supernova simulations : synergetic observation strategies
• Blip glitches in Advanced LIGO data
• Gravitational Wave Emission from 3D Explosion Models of Core-Collapse Supernovae with Low and Normal Explosion Energies
• Three-dimensional core-collapse supernova simulations of massive and rotating progenitors
• Magnetorotational core collapse of possible GRB progenitors. I. Explosion mechanisms
• Non-linear axisymmetric pulsations of rotating relativistic stars in the conformal flatness approximation
• An Optically Targeted Search for Gravitational Waves emitted by Core-Collapse Supernovae during the First and Second Observing Runs of Advanced LIGO and Advanced Virgo
• "Mariage des Maillages": A new numerical approach for 3D relativistic core collapse simulations
• Gravitational waves from three-dimensional core-collapse supernova models: The impact of moderate progenitor rotation
• Magnetorotational Explosion of A Massive Star Supported by Neutrino Heating in General Relativistic Three Dimensional Simulations
• Temporal and Angular Variations of 3D Core-Collapse Supernova Emissions and their Physical Correlations
• Magnetar formation through a convective dynamo in protoneutron stars
• Correlated Signatures of Gravitational-Wave and Neutrino Emission in Three-Dimensional General-Relativistic Core-Collapse Supernova Simulations
• Improving astrophysical parameter estimation via offline noise subtraction for Advanced LIGO
• The First Second of a Type-II Supernova: Convection, Accretion, and Shock Propagation
• Gravitational-wave signal of a core-collapse supernova explosion of a 15 Solar mass star
• Shock breakout theory
• Gravitational wave signatures in black-hole-forming core collapse
• Correlated Gravitational Wave and Neutrino Signals from General-Relativistic Rapidly Rotating Iron Core Collapse
• Parameter estimation with gravitational waves
• Bayesian reconstruction of gravitational wave burst signals from simulations of rotating stellar core collapse and bounce
• Measuring the Angular Momentum Distribution in Core-Collapse Supernova Progenitors with Gravitational Waves
• Anisotropic emission of neutrino and gravitational-wave signals from rapidly rotating core-collapse supernovae
• A systematic study of proto-neutron star convection in three-dimensional core-collapse supernova simulations
• Towards asteroseismology of core-collapse supernovae with gravitational-wave observations - II. Spacetime perturbations
• Gravitational Radiation from Standing Accretion Shock Instability in Core-Collapse Supernovae
• Gravitational Wave Extraction in Simulations of Rotating Stellar Core Collapse
• Noise Reduction in Gravitational-wave Data via Deep Learning
• Equation of State Dependent Dynamics and Multimessenger Signals from Stellar-mass Black Hole Formation
• Inferring the core-collapse supernova explosion mechanism with gravitational waves
• Inferring Core-Collapse Supernova Physics with Gravitational Waves
• On the Requirements for Realistic Modeling of Neutrino Transport in Simulations of Core-Collapse Supernovae
• Rotating Collapse of Stellar Iron Cores in General Relativity
• Impact of Neutrino Opacities on Core-Collapse Supernova Simulations
• Detection and Classification of Supernova Gravitational Waves Signals: A Deep Learning Approach
• A New Method to Observe Gravitational Waves emitted by Core Collapse Supernovae
• Supernova Seismology: Gravitational Wave Signatures of Rapidly Rotating Core Collapse
• Turbulence in Core-Collapse Supernovae
• Gravitational Waves from Neutrino Asymmetries in Core-Collapse Supernovae
• Constraining properties of the next nearby core-collapse supernova with multi-messenger signals
• Deep learning for multimessenger core-collapse supernova detection
• Stellar Mass Black Hole Formation and Multi-messenger Signals from Three Dimensional Rotating Core-Collapse Supernova Simulations
• Star formation rates and stellar masses from machine learning
• Inference of proto-neutron star properties from gravitational-wave data in core-collapse supernovae
• A New Gravitational Wave Signature of Low-$T/|W|$ Instability in Rapidly Rotating Stellar Core Collapse
• Universal relation for supernova gravitational waves
• A scalable random forest regressor for combining neutron-star equation of state measurements: A case study with GW170817 and GW190425
• Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
• Features of Accretion-phase Gravitational-wave Emission from Two-dimensional Rotating Core-collapse Supernovae
• Effects of Rotation on Stochasticity of Gravitational Waves in Nonlinear Phase of Core-Collapse Supernovae
• Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission
• The Impact of Different Neutrino Transport Methods on Multidimensional Core-collapse Supernova Simulations
• Insights into non-axisymmetric instabilities in three-dimensional rotating supernova models with neutrino and gravitational-wave signatures
• Astrophysics with core-collapse supernova gravitational wave signals in the next generation of gravitational wave detectors
• Determining the Structure of Rotating Massive Stellar Cores with Gravitational Waves
• Circular polarizations of gravitational waves from core-collapse supernovae: a clear indication of rapid rotation
• Probing Rotation of Core-collapse Supernova with Concurrent Analysis of Gravitational Waves and Neutrinos
• Gravitational-wave Signals From Three-dimensional Supernova Simulations With Different Neutrino-Transport Methods
• Gravitational waves from supernova matter
• Gravitational wave signature of proto-neutron star convection: I. MHD numerical simulations
• Circular polarization of gravitational waves from non-rotating supernova cores: a new probe into the pre-explosion hydrodynamics
• Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning
• Gravitational Waves from Core-Collapse Supernovae
• Applications of Machine Learning to Predicting Core-collapse Supernova Explosion Outcomes
• Gravitational Wave Signals from Two-Dimensional Core-Collapse Supernova Models with Rotation and Magnetic Fields
• Bayesian parameter estimation of core collapse supernovae using gravitational wave simulations
• Multivariate Regression Analysis of Gravitational Waves from Rotating Core Collapse
• Efficient estimation method for time evolution of proto-neutron star mass and radius from supernova neutrino signal
• Classification of the core-collapse supernova explosion mechanism with learned dictionaries
• Reconstructing Gravitational Wave Core-Collapse Supernova Signals with Dynamic Time Warping
• Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae
• Inferring physical properties of stellar collapse by third-generation gravitational-wave detectors

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• The Science of the Einstein Telescope
• Applications of Machine Learning to Detecting Fast Neutrino Flavor Instabilities in Core-Collapse Supernova and Neutron Star Merger Models
• Probing nuclear physics with supernova gravitational waves and machine learning
• Evaluating Machine Learning Models for Supernova Gravitational Wave Signal Classification
• Enhancing Cosmological Model Selection with Interpretable Machine Learning
• Deep-Learning Classification and Parameter Inference of Rotational Core-Collapse Supernovae
• Assessing the Distance for Probing the Nuclear Equation of State with Supernova Gravitational Waves