Probing nuclear physics with supernova gravitational waves and machine learning

Abstract

Core-collapse supernovae are sources of powerful gravitational waves (GWs). We assess the possibility of extracting information about the equation of state (EOS) of high density matter from the GW signal. We use the bounce and early post-bounce signals of rapidly rotating supernovae. A large set of GW signals is generated using general relativistic hydrodynamics simulations for various EOS models. The uncertainty in the electron capture rate is parametrized by generating signals for six different models. To classify EOSs based on the GW data, we train a convolutional neural network (CNN) model. Even with the uncertainty in the electron capture rates, we find that the CNN models can classify the EOSs with an average accuracy of about 87 percent for a set of four distinct EOS models.

arXiv commentAccepted for publication in MNRAS

References in corpus (103)

• Observation of Gravitational Waves from a Binary Black Hole Merger
• Deep learning for time series classification: a review
• The Supernova -- Gamma-Ray Burst Connection
• Characterization of the LIGO detectors during their sixth science run
• The Progenitor Stars of Gamma-Ray Bursts
• Presupernova Evolution of Differentially Rotating Massive Stars Including Magnetic Fields
• 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
• Statistical Model for a Complete Supernova Equation of State
• Inside the Supernova: A Powerful Convective Engine
• The rotation rates of massive stars: the role of binary interaction through tides, mass transfer and mergers
• Magnetorotationally driven Supernovae as the origin of early galaxy $r$-process elements?
• GW170817: Joint Constraint on the Neutron Star Equation of State from Multimessenger Observations
• Binary neutron-star mergers: a review of Einstein's richest laboratory
• Single star progenitors of long gamma-ray bursts I: Model grids and redshift dependent GRB rate
• Spin down of the core rotation in red giants
• Physics of Core-Collapse Supernovae in Three Dimensions: a Sneak Preview
• Simulations of Magnetically-Driven Supernova and Hypernova Explosions in the Context of Rapid Rotation
• A two-parameter criterion for classifying the explodability of massive stars by the neutrino-driven mechanism
• Seismic constraints on the radial dependence of the internal rotation profiles of six Kepler subgiants and young red giants
• A New Multi-Dimensional General Relativistic Neutrino Hydrodynamics Code of Core-Collapse Supernovae III. Gravitational Wave Signals from Supernova Explosion Models
• New Equations of State in Simulations of Core-Collapse Supernovae
• Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
• Magnetorotational Core-Collapse Supernovae in Three Dimensions
• Conditions for Shock Revival by Neutrino Heating in Core-Collapse Supernovae
• Signals of the QCD phase transition in core-collapse supernovae
• The gravitational wave burst signal from core collapse of rotating stars
• Observing the Next Galactic Supernova
• Non-Radial Instabilities and Progenitor Asphericities in Core-Collapse Supernovae
• The consequences of nuclear electron capture in core collapse supernovae
• An Open-Source Neutrino Radiation Hydrodynamics Code for Core-Collapse Supernovae
• Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations
• 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
• Multidimensional supernova simulations with approximative neutrino transport. II. Convection and the advective-acoustic cycle in the supernova core
• 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
• Axisymmetric simulations of magneto--rotational core collapse: dynamics and gravitational wave signal
• A simple parameterization of the consequences of deleptonization for simulations of stellar core collapse
• Observing Gravitational Waves from Core-Collapse Supernovae in the Advanced Detector Era
• The Dominance of Neutrino-Driven Convection in Core-Collapse Supernovae
• Equation of State Effects on Gravitational Waves from Rotating Core Collapse
• Binary Merger Progenitors for Gamma-Ray Bursts and Hypernovae
• Equation of state constraints from the threshold binary mass for prompt collapse of neutron star mergers
• Multi-messenger signals of long-term core-collapse supernova simulations : synergetic observation strategies
• Three-dimensional core-collapse supernova simulations of massive and rotating progenitors
• Magnetorotational core collapse of possible GRB progenitors. I. Explosion mechanisms
• 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
• Magnetorotational Explosion of A Massive Star Supported by Neutrino Heating in General Relativistic Three Dimensional Simulations
• Correlated Signatures of Gravitational-Wave and Neutrino Emission in Three-Dimensional General-Relativistic Core-Collapse Supernova Simulations
• A Second Relativistic Mean Field and Virial Equation of State for Astrophysical Simulations
• Correlated Gravitational Wave and Neutrino Signals from General-Relativistic Rapidly Rotating Iron Core Collapse
• Measuring the Angular Momentum Distribution in Core-Collapse Supernova Progenitors with Gravitational Waves
• Towards asteroseismology of core-collapse supernovae with gravitational-wave observations - II. Spacetime perturbations
• Turbulent Magnetic Field Amplification from Spiral SASI Modes: Implications for Core-Collapse Supernovae and Proto-Neutron Star Magnetization
• Initial spin periods of neutron stars in supernova remnants
• The Sensitivity of Core-Collapse Supernovae to Nuclear Electron Capture
• 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
• Effects of Rotation on Standing Accretion Shock Instability in Nonlinear Phase for Core-Collapse Supernovae
• Three-Dimensional Simulations of SASI- and Convection-Dominated Core-Collapse Supernovae
• Detection and Classification of Supernova Gravitational Waves Signals: A Deep Learning Approach
• Neutrino-Driven Convection in Core-Collapse Supernovae: High-Resolution Simulations
• Stability of a Spherical Accretion Shock with Nuclear Dissociation
• Equation of State Dependence of Gravitational Waves in Core-Collapse Supernovae
• Core Collapse Supernova Gravitational Wave Emission for Progenitors of 9.6, 15, and 25 Solar Masses
• Supernova Seismology: Gravitational Wave Signatures of Rapidly Rotating Core Collapse
• Constraining properties of the next nearby core-collapse supernova with multi-messenger signals
• Electron capture in stars
• Deep learning for multimessenger core-collapse supernova detection
• Equation of State and Progenitor Dependence of Stellar-Mass Black-Hole Formation
• A 3D Simulation of a Neutrino-Driven Supernova Explosion Aided By Convection and Magnetic Fields
• Ranking Love numbers for the neutron star equation of state: The need for third-generation detectors
• Universal relation for supernova gravitational waves
• Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
• Nuclear physics constraints from binary neutron star mergers in the Einstein Telescope era
• Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission
• Determining the Structure of Rotating Massive Stellar Cores with Gravitational Waves
• Future Prospects for Constraining Nuclear Matter Parameters with Gravitational Waves
• Circular polarizations of gravitational waves from core-collapse supernovae: a clear indication of rapid rotation
• 3D Simulations of Strongly Magnetised Non-Rotating Supernovae: Explosion Dynamics and Remnant Properties
• Gravitational Waves from Core-Collapse Supernovae
• Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning
• Bayesian parameter estimation of core collapse supernovae using gravitational wave simulations
• Unraveling information about supranuclear-dense matter from the complete binary neutron star coalescence process using future gravitational-wave detector networks
• Progenitor Dependence of Hadron-quark Phase Transition in Failing Core-collapse Supernovae
• Multivariate Regression Analysis of Gravitational Waves from Rotating Core Collapse
• Classification of the core-collapse supernova explosion mechanism with learned dictionaries
• Solution to the inverse problem for a noisy spherical gravitational wave antenna
• Long-term gravitational wave asteroseismology of supernova: from core collapse to 20 seconds postbounce
• Measuring the properties of $f-$mode oscillations of a protoneutron star by third generation gravitational-wave detectors
• Exploring Supernova Gravitational Waves with Machine Learning
• Inferring physical properties of stellar collapse by third-generation gravitational-wave detectors
• Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
• Constraints on the Nuclear Symmetry Energy from Experiments, Theory and Observations
• Waveform Reconstruction of Core-Collapse Supernovae Gravitational-Waves with Ensemble Empirical Mode Decomposition

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• Parameter estimation of protoneutron stars from gravitational wave signals using the Hilbert-Huang transform
• Waveform Reconstruction of Core-Collapse Supernova Gravitational Waves with Improved Multisynchrosqueezing Transform
• Generative adversarial network for stellar core-collapse gravitational waves
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