Surrogate models for lightcurves and photosphere properties of Type II supernovae
arXiv:2506.02107 · doi:10.1093/mnras/staf1808
Abstract
Inferences on the properties Type II supernovae (SNe) can provide significant insights into the lives and deaths of the astrophysical population of massive stars and potentially provide measurements of luminosity distance, independent of the distance ladder. Here, we introduce surrogate models for the photospheric properties and lightcurves of Type II SNe trained on a large grid of simulations from the radiation hydrodynamics code, {\sc stella}. The trained model can accurately and efficiently (ms) predict the lightcurves and properties of Type II SNe within a large parameter space of progenitor ( at ZAMS) and nickel masses (), progenitor mass-loss rate (yr), CSM radius (cm), and SN explosion energies (erg). We validate this model through inference on lightcurves and photosphere properties drawn directly from the original {\sc stella} simulations not included in training. In particular, for a synthetic Type II SNe observed within the 10-year LSST survey, we find we can measure the progenitor and nickel masses with and precision, respectively, when fitting the photometric data while accounting for the uncertainty in the surrogate model itself. Meanwhile, from real observations of SN~2004et, SN~2012aw, and SN~2017gmr we infer a progenitor ZAMS mass of , , , respectively. We discuss systematic uncertainties from our surrogate modelling approach and likelihood approaches to account for these uncertainties. We further discuss future extensions to the model to enable stronger constraints on properties of Type II SNe and their progenitors, and applications of our surrogate modelling approach to other transients.
arXiv commentAccepted in MNRAS. 11 pages, 10 figures. Models available at https://github.com/nikhil-sarin/redback_surrogates
References in corpus (46)
- Scikit-learn: Machine Learning in Python
- Array Programming with NumPy
- TensorFlow: A system for large-scale machine learning
- LSST: from Science Drivers to Reference Design and Anticipated Data Products
- MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics
- Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy
- Core-Collapse Supernovae from 9 to 120 Solar Masses Based on Neutrino-powered Explosions
- Theory of Core-Collapse Supernovae
- The Zwicky Transient Facility: Surveys and Scheduler
- A comparative modeling of supernova 1993J
- Radiation hydrodynamics of SN 1987A: I. Global analysis of the light curve for the first 4 months
- Theoretical light curves for deflagration models of Type Ia supernova
- The progenitor mass of the Type IIP supernova SN 2004et from late-time spectral modeling
- Type II-Plateau supernova radiation: dependencies on progenitor and explosion properties
- Hydrodynamical models of Type II-Plateau Supernovae
- Photometric and spectroscopic evolution of the type IIP supernova SN 2004et
- SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification
- Time Dependent Radiative Transfer Calculations for Supernovae
- A large fraction of hydrogen-rich supernova progenitors experience elevated mass loss shortly prior to explosion
- The delay of shock breakout due to circumstellar material seen in most Type II Supernovae
- Optical and near infrared coverage of SN 2004et: physical parameters and comparison with other type IIP supernovae
- The Initial Masses of the Red Supergiant Progenitors to Type-II Supernovae
- On Absorption by Circumstellar Dust, With the Progenitor of SN2012aw as a Case Study
- On the Progenitor of the Type II Supernova 2004et in NGC 6946
- Supernova 2012aw - a high-energy clone of archetypal type IIP SN 1999em
- Inferring Explosion Properties from Type II-Plateau Supernova Light Curves
- High mass of the type IIP supernova 2004et inferred from hydrodynamic modeling
- Red and dead: The progenitor of SN 2012aw in M95
- A Global Model of The Light Curves and Expansion Velocities of Type II-Plateau Supernovae
- A two-component model for fitting light-curves of core-collapse supernovae
- On the nature of the progenitors of three type II-P supernovae: 2004et, 2006my and 2006ov
- Redback: A Bayesian inference software package for electromagnetic transients
- SN 2017gmr: An energetic Type II-P supernova with asymmetries
- Type II supernovae from the Carnegie Supernova Project-I. III. Understanding SN II diversity through correlations between physical and observed properties
- The Long-Lived UV "Plateau" of SN 2012aw
- The role of radioactive nickel in shaping the plateau phase of Type II supernovae
- Synthetic red supergiant explosion model grid for systematic characterization of Type II supernovae
- Supernova 2017eaw: molecule and dust formation from infrared observations
- The Iron Yield of Normal Type II Supernovae
- The aspherical explosion of the Type IIP SN 2017gmr
- The disappearance of the progenitor of SN 2012aw in late-time imaging
- Supernova lightCURVE POPulation Synthesis II: Validation against supernovae with an observed progenitor
- Inferencing Progenitor and Explosion Properties of Evolving Core-collapse Supernovae from Zwicky Transient Facility Light Curves
- Enormous explosion energy of Type IIP SN 2017gmr with bipolar Ni-56 ejecta
- Enabling catalog simulations of transient and variable sources based on LSST cadence strategies
- Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography